Contour Fitting using an Adaptive Spline Model. - Daniel Rueckert; Peter Burger (BMVC, 1995)

Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images. - Gerardo I. Sanchez-Ortiz; Daniel Rueckert; Peter Burger (BMVC, 1996)

Multiscale approach to contour fitting for MR images. - Daniel Rueckert; Peter Burger (Image Processing, 1996)

Shape-based segmentation and tracking in 4D cardiac MR images. - Daniel Rueckert; Peter Burger (CVRMed, 1997)

Geometrically Deformable Templates for Shape-Based Segmentation and Tracking in Cardiac MR Images. - Daniel Rueckert; Peter Burger (EMMCVPR, 1997)

Automatic Tracking of the Aorta in Cardiovascular MR Images Using Deformable Models. - Daniel Rueckert; Peter Burger; S. M. Forbat; Raad Mohiaddin; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 1997)

Non-rigid Registration of Breast MR Images Using Mutual Information. - Daniel Rueckert; Carmel Hayes; Colin Studholme; Paul E. Summers; Martin O. Leach; David J. Hawkes (MICCAI, 1998)

Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging. - Guang-Zhong Yang; Peter Burger; Jonathan Panting; Peter Gatehouse; Daniel Rueckert; Dudley Pennell; David N. Firmin (Medical Image Anal., 1998)

Investigation of intraoperative brain deformation using a 1.5 Tesla interventional MR system: Preliminary results. - Calvin R. Maurer Jr.; Derek L. G. Hill; Alastair J. Martin; Haiying Liu; M. McCue; Daniel Rueckert; David Lloret; Walter A. Hall; Robert E. Maxwell; David J. Hawkes; Charles L. Truwit (IEEE Trans. Medical Imaging, 1998)

Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping. - Matthew J. Clarkson; Daniel Rueckert; Andrew P. King; Philip J. Edwards; Derek L. G. Hill; David J. Hawkes (MICCAI, 1999)

Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging. - Derek L. G. Hill; Calvin R. Maurer Jr.; Alastair J. Martin; Saras Sabanathan; Walter A. Hall; David J. Hawkes; Daniel Rueckert; Charles L. Truwit (MICCAI, 1999)

Registration of multiple video images to preoperative CT for image-guided surgery. - Matthew J. Clarkson; Daniel Rueckert; Derek L. G. Hill; David John Hawkes (Image Processing, 1999)

Comparison and evaluation of rigid and nonrigid registration of breast MR images. - Daniel Rueckert; Luke I. Sonoda; Erica R. E. Denton; S. Rankin; Carmel Hayes; Martin O. Leach; Derek L. G. Hill; David John Hawkes (Image Processing, 1999)

Knowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images. - Gerardo I. Sanchez-Ortiz; Daniel Rueckert; Peter Burger (Medical Image Anal., 1999)

Non-rigid Registration Using Free-form Deformations: Application to Breast MR Images. - Daniel Rueckert; Luke I. Sonoda; Carmel Hayes; Derek L. G. Hill; Martin O. Leach; David J. Hawkes (IEEE Trans. Medical Imaging, 1999)

An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound. - Jane M. Blackall; Daniel Rueckert; Calvin R. Maurer Jr.; Graeme P. Penney; Derek L. G. Hill; David J. Hawkes (MICCAI, 2000)

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images. - Christine Tanner; Julia A. Schnabel; Daniel Chung; Matthew J. Clarkson; Daniel Rueckert; Derek L. G. Hill; David J. Hawkes (MICCAI, 2000)

Multiple 2D video/3D medical image registration algorithm. - Matthew J. Clarkson; Daniel Rueckert; Derek L. G. Hill; David John Hawkes (Image Processing, 2000)

Non-rigid registration using higher-order mutual information. - Daniel Rueckert; Matthew J. Clarkson; Derek L. G. Hill; David John Hawkes (Image Processing, 2000)

Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration. - Alejandro F. Frangi; Daniel Rueckert; Julia A. Schnabel; Wiro J. Niessen (IPMI, 2001)

Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration. - Daniel Rueckert; Alejandro F. Frangi; Julia A. Schnabel (MICCAI, 2001)

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations. - Julia A. Schnabel; Daniel Rueckert; Marcel Quist; Jane M. Blackall; Andy D. Castellano-Smith; Thomas Hartkens; Graeme P. Penney; Walter A. Hall; Haiying Liu; Charles L. Truwit; Frans A. Gerritsen; Derek L. G. Hill; et al. (MICCAI, 2001)

Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model. - Matthew J. Clarkson; Daniel Rueckert; Derek L. G. Hill; David J. Hawkes (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Nonrigid Registration of Single- and Multimodal 3D images. - Thomas Hartkens; Daniel Rueckert; Julia A. Schnabel; David J. Hawkes; Derek L. G. Hill (Bildverarbeitung für die Medizin, 2002)

Automatic Construction of 3D Statistical Deformation Models: Application to Patients with Schizophrenia. - Daniel Rueckert; Alejandro F. Frangi; Julia A. Schnabel (Bildverarbeitung für die Medizin, 2002)

FPGA-based computation of free-form deformations. - Jun Jiang; Wayne Luk; Daniel Rueckert (FPT, 2002)

Non-rigid registration of cardiac MR: application to motion modelling and atlas-based segmentation. - Daniel Rueckert; Maria Lorenzo-Valdés; Raghavendra Chandrashekara; Gerardo I. Sanchez-Ortiz; Raad Mohiaddin (ISBI, 2002)

A Dynamic Brain Atlas. - Derek L. G. Hill; Joseph V. Hajnal; Daniel Rueckert; Stephen M. Smith 001; Thomas Hartkens; Kate McLeish (MICCAI (1), 2002)

Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration. - Maria Lorenzo-Valdés; Gerardo I. Sanchez-Ortiz; Raad Mohiaddin; Daniel Rueckert (MICCAI (1), 2002)

Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration. - Anil Rao; Gerardo I. Sanchez-Ortiz; Raghavendra Chandrashekara; Maria Lorenzo-Valdés; Raad Mohiaddin; Daniel Rueckert (MICCAI (1), 2002)

Automated camera calibration for image-guided surgery using intensity-based registration. - Daniel Rueckert; Calvin R. Maurer Jr. (Image-Guided Procedures, 2002)

Analysis of myocardial motion in tagged MR images using nonrigid image registration. - Raghavendra Chandrashekara; Raad H. Mohiaddin; Daniel Rueckert (Image Processing, 2002)

Three-dimensional Cardiovascular Image Analysis. - Alejandro F. Frangi; Daniel Rueckert; James S. Duncan (IEEE Trans. Medical Imaging, 2002)

Automatic Construction of Multiple-object Three-dimensional Statistical Shape Models: Application to Cardiac Modelling. - Alejandro F. Frangi; Daniel Rueckert; Julia A. Schnabel; Wiro J. Niessen (IEEE Trans. Medical Imaging, 2002)

Automatic Construction of Biventricular Statistical Shape Models. - Alejandro F. Frangi; Daniel Rueckert; Julia A. Schnabel; Wiro J. Niessen (FIMH, 2003)

Spatio-temporal Alignment of 4D Cardiac MR Images. - Dimitrios Perperidis; Anil Rao; Maria Lorenzo-Valdés; Raad Mohiaddin; Daniel Rueckert (FIMH, 2003)

Construction of a Cardiac Motion Atlas From MR Using Non-rigid Registration. - Anil Rao; Gerardo I. Sanchez-Ortiz; Raghavendra Chandrashekara; Maria Lorenzo-Valdés; Raad Mohiaddin; Daniel Rueckert (FIMH, 2003)

FPGA-based computation of free-form deformations in medical image registration. - Jun Jiang; Wayne Luk; Daniel Rueckert (FPT, 2003)

Construction of a Statistical Model for Cardiac Motion Analysis Using Nonrigid Image Registration. - Raghavendra Chandrashekara; Anil Rao; Gerardo I. Sanchez-Ortiz; Raad Mohiaddin; Daniel Rueckert (IPMI, 2003)

Analysis of Myocardial Motion and Strain Patterns Using a Cylindrical B-Spline Transformation Model. - Raghavendra Chandrashekara; Raad Mohiaddin; Daniel Rueckert (IS4TH, 2003)

An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth. - James P. Boardman; Kanwal K. Bhatia; Serena J. Counsell; Joanna M. Allsop; Olga Kapellou; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2003)

Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm. - Maria Lorenzo-Valdés; Gerardo I. Sanchez-Ortiz; Raad Mohiaddin; Daniel Rueckert (MICCAI (1), 2003)

Application of XMR 2D-3D Registration to Cardiac Interventional Guidance. - Kawal S. Rhode; Derek L. G. Hill; Philip J. Edwards; John H. Hipwell; Daniel Rueckert; Gerardo I. Sanchez-Ortiz; Sanjeet Hegde; Vithuran Rahunathan; Reza Razavi (MICCAI (1), 2003)

Fast calculation of digitally reconstructed radiographs using light fields. - Daniel B. Russakoff; Torsten Rohlfing; Daniel Rueckert; Ramin Shahidi; Daniel H. Kim; Calvin R. Maurer Jr. (Image Processing, 2003)

Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images. - Dimitrios Perperidis; Anil Rao; Raad Mohiaddin; Daniel Rueckert (WBIR, 2003)

Registration and tracking to integrate x-ray and MR images in an XMR facility. - Kawal S. Rhode; Derek L. G. Hill; Philip J. Edwards; John H. Hipwell; Daniel Rueckert; Gerardo I. Sanchez-Ortiz; Sanjeet Hegde; Vithuran Rahunathan; Reza Razavi (IEEE Trans. Medical Imaging, 2003)

Automatic Construction of 3D Statistical Deformation Models of the Brain using Non-Rigid Registration. - Daniel Rueckert; Alejandro F. Frangi; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2003)

Evaluation of Automatic 4D Face Recognition Using Surface and Texture Registration. - Theodoros Papatheodorou; Daniel Rueckert (FGR, 2004)

Consistent Groupwise Non-Rigid Registration for Atlas Construction. - Kanwal K. Bhatia; Joseph V. Hajnal; Basant K. Puri; A. David Edwards; Daniel Rueckert (ISBI, 2004)

Cardiac Motion Tracking in Tagged MR Images Using a 4D B-spline Motion Model and Nonrigid Image Registration. - Raghavendra Chandrashekara; Daniel Rueckert; Raad Mohiaddin (ISBI, 2004)

Analysis of Serial MR Images of Joints. - Kelvin K. Leung; Derek L. G. Hill; Rolf A. Heckemann; Daniel Rueckert; Joseph V. Hajnal; Nadeem Saeed; Keith Brooks; Jacky Buckton; Kumar Changani; David Reid (ISBI, 2004)

Building a 4D Atlas of the Cardiac Anatomy and Motion Using MR Imaging. - Dimitrios Perperidis; Raghavendra Chandrashekara; Maria Lorenzo-Valdés; Gerardo I. Sanchez-Ortiz; Anil Rao; Daniel Rueckert; Raad Mohiaddin (ISBI, 2004)

Detecting the Onset of Myocardial Contraction for Establishing Inverse Electro-Mechanical Coupling in XMR Guided RF Ablation. - Gerardo I. Sanchez-Ortiz; Raghavendra Chandrashekara; Maxime Sermesant; Kawal S. Rhode; Reza Razavi; Derek L. G. Hill; Daniel Rueckert (ISBI, 2004)

A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging. - William R. Crum; Daniel Rueckert; Mark Jenkinson; David N. Kennedy; Stephen M. Smith 001 (MICCAI (1), 2004)

3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit. - Robert M. Lapp; Maria Lorenzo-Valdés; Daniel Rueckert (MICCAI (1), 2004)

Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images. - Maria Lorenzo-Valdés; Gerardo I. Sanchez-Ortiz; Hugo G. Bogren; Raad Mohiaddin; Daniel Rueckert (MICCAI (1), 2004)

Registration-Based Interpolation Using a High-Resolution Image for Guidance. - Graeme P. Penney; Julia A. Schnabel; Daniel Rueckert; David J. Hawkes; Wiro J. Niessen (MICCAI (1), 2004)

Simulation of the Electromechanical Activity of the Heart Using XMR Interventional Imaging. - Maxime Sermesant; Kawal S. Rhode; Angela Anjorin; Sanjeet Hegde; Gerardo I. Sanchez-Ortiz; Daniel Rueckert; Pier Lambiase; Clifford Bucknall; Derek L. G. Hill; Reza Razavi (MICCAI (2), 2004)

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images. - Carlos E. Thomaz; James P. Boardman; Derek L. G. Hill; Joseph V. Hajnal; David D. Edwards; Mary A. Rutherford; Duncan Fyfe Gillies; Daniel Rueckert (MICCAI (1), 2004)

Simultaneous Segmentation and Registration for Medical Image. - Xiaohua Chen; Michael Brady 001; Daniel Rueckert (MICCAI (1), 2004)

Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm. - Maria Lorenzo-Valdés; Gerardo I. Sanchez-Ortiz; Andrew Elkington; Raad Mohiaddin; Daniel Rueckert (Medical Image Anal., 2004)

Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration. - Raghavendra Chandrashekara; Raad Mohiaddin; Daniel Rueckert (IEEE Trans. Medical Imaging, 2004)

Registration-based interpolation. - Graeme P. Penney; Julia A. Schnabel; Daniel Rueckert; Max A. Viergever; Wiro J. Niessen (IEEE Trans. Medical Imaging, 2004)

Spatial transformation of motion and deformation fields using nonrigid registration. - Anil Rao; Raghavendra Chandrashekara; Gerardo I. Sanchez-Ortiz; Raad Mohiaddin; Paul Aljabar; Joseph V. Hajnal; Basant K. Puri; Daniel Rueckert (IEEE Trans. Medical Imaging, 2004)

Evaluation of 3D Face Recognition Using Registration and PCA. - Theodoros Papatheodorou; Daniel Rueckert (AVBPA, 2005)

Comparison of Cardiac Motion Fields from Tagged and Untagged MR Images Using Nonrigid Registration. - Raghavendra Chandrashekara; Raad Mohiaddin; Daniel Rueckert (FIMH, 2005)

Fast Spatio-temporal Free-Form Registration of Cardiac MR Image Sequences. - Dimitrios Perperidis; Raad Mohiaddin; Daniel Rueckert (FIMH, 2005)

Detecting and Comparing the Onset of Myocardial Activation and Regional Motion Changes in Tagged MR for XMR-Guided RF Ablation. - Gerardo I. Sanchez-Ortiz; Maxime Sermesant; Kawal S. Rhode; Raghavendra Chandrashekara; Reza Razavi; Derek L. G. Hill; Daniel Rueckert (FIMH, 2005)

Interpolation Artefacts in Non-rigid Registration. - Paul Aljabar; Joseph V. Hajnal; Richard G. Boyes; Daniel Rueckert (MICCAI (2), 2005)

Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation. - William R. Crum; Oscar Camara 001; Daniel Rueckert; Kanwal K. Bhatia; Mark Jenkinson; Derek L. G. Hill (MICCAI, 2005)

Construction of a 4D Statistical Atlas of the Cardiac Anatomy and Its Use in Classification. - Dimitrios Perperidis; Raad Mohiaddin; Daniel Rueckert (MICCAI (2), 2005)

Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI. - Gerardo I. Sanchez-Ortiz; Maxime Sermesant; Kawal S. Rhode; Raghavendra Chandrashekara; Reza Razavi; Derek L. G. Hill; Daniel Rueckert (MICCAI, 2005)

Propagating labels of the human brain based on non-rigid MR image registration: an evaluation. - Rolf A. Heckemann; Joseph V. Hajnal; Daniel Rueckert; Derek L. G. Hill; Alexander Hammers (Image Processing, 2005)

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation. - Jinsong Ren; Beatrix I. Sneller; Daniel Rueckert; Joseph V. Hajnal; Rolf A. Heckemann; Stephen M. Smith 001; John Vickers; Derek L. G. Hill (Image Processing, 2005)

Spatio-temporal free-form registration of cardiac MR image sequences. - Dimitrios Perperidis; Raad Mohiaddin; Daniel Rueckert (Medical Image Anal., 2005)

Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging. - Maxime Sermesant; Kawal S. Rhode; Gerardo I. Sanchez-Ortiz; Oscar Camara 001; R. Andriantsimiavona; Sanjeet Hegde; Daniel Rueckert; Pier Lambiase; Clifford Bucknall; Eric Rosenthal; Herve Delingette; Derek L. G. Hill; et al. (Medical Image Anal., 2005)

Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration. - Daniel B. Russakoff; Torsten Rohlfing; Kensaku Mori; Daniel Rueckert; Anthony Ho; John R. Adler Jr.; Calvin R. Maurer Jr. (IEEE Trans. Medical Imaging, 2005)

Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures. - Anil Rao; Timothy F. Cootes; Daniel Rueckert (CVPR Workshops, 2006)

Quantification of Growth and Motion Using Non-rigid Registration. - Daniel Rueckert; Raghavendra Chandrashekara; Paul Aljabar; Kanwal K. Bhatia; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Leigh Dyet; A. David Edwards; Joseph V. Hajnal; Raad Mohiaddin (CVAMIA, 2006)

Analysis of growth in the developing brain using non-rigid registration. - Paul Aljabar; Kanwal K. Bhatia; Joseph V. Hajnal; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Dyet Dyet; A. David Edwards; Daniel Rueckert (ISBI, 2006)

Automatic extraction and matching of neonatal cerebral vasculature. - Hui Xue 006; Christina Malamateniou; Joanna M. Allsop; Latha Srinivasan; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2006)

Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence. - Rolf A. Heckemann; Joseph V. Hajnal; Paul Aljabar; Daniel Rueckert; Alexander Hammers (MICCAI (2), 2006)

Segmentation of Brain MRI in Young Children. - Maria Murgasova; Leigh Dyet; A. David Edwards; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2006)

Statistical Finite Element Model for Bone Shape and Biomechanical Properties. - Laura Belenguer Querol; Philippe Büchler; Daniel Rueckert; Lutz-Peter Nolte; Miguel Ángel González Ballester (MICCAI (1), 2006)

Diffeomorphic Registration Using B-Splines. - Daniel Rueckert; Paul Aljabar; Rolf A. Heckemann; Joseph V. Hajnal; Alexander Hammers (MICCAI (2), 2006)

A whole brain morphometric analysis of changes associated with pre-term birth. - Carlos E. Thomaz; James P. Boardman; Serena J. Counsell; Derek L. G. Hill; Joseph V. Hajnal; A. David Edwards; Mary A. Rutherford; Duncan Fyfe Gillies; Daniel Rueckert (Image Processing, 2006)

Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach. - Carlos E. Thomaz; Nelson A. O. Aguiar; Sergio H. A. Oliveira; Fabio L. S. Duran; Geraldo F. Busatto; Duncan Fyfe Gillies; Daniel Rueckert (SIBGRAPI, 2006)

Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains. - Satheesh Maheswaran; Hervé Barjat; Simon T. Bate; Thomas Hartkens; Derek L. G. Hill; Michael F. James; Lorna Tilling; Neil Upton; Joseph V. Hajnal; Daniel Rueckert (WBIR, 2006)

Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration. - Anil Rao; Kolawole O. Babalola; Daniel Rueckert (WBIR, 2006)

3D Statistical Shape Modeling of Long Bones. - Yuhui Yang; Anthony Bull; Daniel Rueckert; Adam Hill (WBIR, 2006)

Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. - James P. Boardman; Serena J. Counsell; Daniel Rueckert; Olga Kapellou; Kanwal K. Bhatia; Paul Aljabar; Joseph V. Hajnal; Joanna M. Allsop; Mary A. Rutherford; A. David Edwards (NeuroImage, 2006)

Cerebral atrophy measurements using Jacobian integration: Comparison with the boundary shift integral. - Richard G. Boyes; Daniel Rueckert; Paul Aljabar; Jennifer L. Whitwell; Jonathan M. Schott; Derek L. G. Hill; Nicholas C. Fox (NeuroImage, 2006)

Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. - Rolf A. Heckemann; Joseph V. Hajnal; Paul Aljabar; Daniel Rueckert; Alexander Hammers (NeuroImage, 2006)

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. - Stephen M. Smith 001; Mark Jenkinson; Heidi Johansen-Berg; Daniel Rueckert; Thomas E. Nichols; Clare E. Mackay; Kate E. Watkins; Olga Ciccarelli; M. Zaheer Cader; Paul M. Matthews; Timothy Edward John Behrens (NeuroImage, 2006)

Automatic Quantification of Changes in Bone in Serial MR Images of Joints. - Kelvin K. Leung; Mark Holden; Nadeem Saeed; K. J. Brooks; J. B. Buckton; A. A. Williams; Simon P. Campbell; Kumar Changani; D. G. Reid; Y. Zhao; Michael Wilde; Daniel Rueckert; et al. (IEEE Trans. Medical Imaging, 2006)

Automatic Cortical Segmentation in the Developing Brain. - Hui Xue 006; Latha Srinivasan; Shuzhou Jiang; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal (IPMI, 2007)

Classifier Selection Strategies for Label Fusion Using Large Atlas Databases. - Paul Aljabar; Rolf A. Heckemann; Alexander Hammers; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2007)

Groupwise Combined Segmentation and Registration for Atlas Construction. - Kanwal K. Bhatia; Paul Aljabar; James P. Boardman; Latha Srinivasan; Maria Murgasova; Serena J. Counsell; Mary A. Rutherford; Joseph V. Hajnal; A. David Edwards; Daniel Rueckert (MICCAI (1), 2007)

Similarity Metrics for Groupwise Non-rigid Registration. - Kanwal K. Bhatia; Joseph V. Hajnal; Alexander Hammers; Daniel Rueckert (MICCAI (2), 2007)

Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis. - Raghavendra Chandrashekara; Raad Mohiaddin; Reza Razavi; Daniel Rueckert (MICCAI (1), 2007)

In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging. - Shuzhou Jiang; Hui Xue 006; Serena J. Counsell; Mustafa Anjari; Joanna M. Allsop; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (MICCAI (1), 2007)

Longitudinal Cortical Registration for Developing Neonates. - Hui Xue 006; Latha Srinivasan; Shuzhou Jiang; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal (MICCAI (2), 2007)

Unbiased White Matter Atlas Construction Using Diffusion Tensor Images. - Hui Zhang 005; Paul A. Yushkevich; Daniel Rueckert; James C. Gee (MICCAI (2), 2007)

Quantifying brain development in early childhood using segmentation and registration. - Paul Aljabar; Kanwal K. Bhatia; Maria Murgasova; Joseph V. Hajnal; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Leigh Dyet; A. David Edwards; Daniel Rueckert (Image Processing, 2007)

Automated localization of periventricular and subcortical white matter lesions. - Fedde van der Lijn; Meike W. Vernooij; Mohammad Arfan Ikram; Henri A. Vrooman; Daniel Rueckert; Alexander Hammers; Monique M. B. Breteler; Wiro J. Niessen (Image Processing, 2007)

Segmentation of cardiac MR and CT image sequences using model-based registration of a 4D statistical model. - Dimitrios Perperidis; Raad Mohiaddin; Philip J. Edwards; Daniel Rueckert (Image Processing, 2007)

Robust segmentation of brain MRI using combination of registration and EM-based methods. - Maria Murgasova; Leigh Dyet; Joseph V. Hajnal; Mary A. Rutherford; A. David Edwards; Daniel Rueckert (SCCG, 2007)

A multivariate statistical analysis of the developing human brain in preterm infants. - Carlos E. Thomaz; James P. Boardman; Serena J. Counsell; Derek L. G. Hill; Joseph V. Hajnal; A. David Edwards; Mary A. Rutherford; Duncan Fyfe Gillies; Daniel Rueckert (Image Vis. Comput., 2007)

Multivariate Statistical Differences of MRI Samples of the Human Brain. - Carlos E. Thomaz; Fabio L. S. Duran; Geraldo F. Busatto; Duncan Fyfe Gillies; Daniel Rueckert (J. Math. Imaging Vis., 2007)

Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study. - Alexander Hammers; Rolf A. Heckemann; Matthias J. Koepp; John S. Duncan; Joseph V. Hajnal; Daniel Rueckert; Paul Aljabar (NeuroImage, 2007)

Automatic segmentation and reconstruction of the cortex from neonatal MRI. - Hui Xue 006; Latha Srinivasan; Shuzhou Jiang; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal (NeuroImage, 2007)

MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies. - Shuzhou Jiang; Hui Xue 006; Alan Glover; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (IEEE Trans. Medical Imaging, 2007)

Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis. - Daniel Rueckert; Polina Golland (IEEE Trans. Medical Imaging, 2007)

Statistical shape modelling: How many modes should be retained? - Lin Mei; Michael Figl; Daniel Rueckert; Ara Darzi; Philip J. Edwards (CVPR Workshops, 2008)

Sample Sufficiency and PCA Dimension for Statistical Shape Models. - Lin Mei; Michael Figl; Ara Darzi; Daniel Rueckert; Philip J. Edwards (ECCV (4), 2008)

Construction of a patient-specific atlas of the brain: Application to normal aging. - Anders Ericsson; Paul Aljabar; Daniel Rueckert (ISBI, 2008)

Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images. - Satheesh Maheswaran; Hervé Barjat; Simon T. Bate; Thomas Hartkens; Derek L. G. Hill; Lorna Tilling; Neil Upton; Michael F. James; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2008)

Coronary Motion Modelling for Augmented Reality Guidance of Endoscopic Coronary Artery Bypass. - Michael Figl; Daniel Rueckert; David J. Hawkes; Roberto Casula; Mingxing Hu; Ose Pedro; Dong Ping Zhang; Graeme P. Penney; Fernando Bello; Philip J. Edwards (ISBMS, 2008)

Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia. - Paul Aljabar; Daniel Rueckert; William R. Crum (MICCAI (2), 2008)

Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI. - Kolawole O. Babalola; Brian Patenaude; Paul Aljabar; Julia A. Schnabel; David N. Kennedy; William R. Crum; Stephen M. Smith 001; Timothy F. Cootes; Mark Jenkinson; Daniel Rueckert (MICCAI (1), 2008)

A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints. - Mingxing Hu; Graeme P. Penney; Daniel Rueckert; Philip J. Edwards; Michael Figl; Philip Pratt; David J. Hawkes (MICCAI (1), 2008)

Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling. - Lin Mei; Michael Figl; Daniel Rueckert; Ara Darzi; Philip J. Edwards (MICCAI (1), 2008)

Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography. - Emma C. Robinson; Michel F. Valstar; Alexander Hammers; Anders Ericsson; A. David Edwards; Daniel Rueckert (MICCAI (1), 2008)

Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI. - Hui Xue 006; Jens Guehring; Latha Srinivasan; Sven Zühlsdorff; Kinda Anna Saddi; Christophe Chefd'Hotel; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2008)

Augmented reality image guidance for minimally invasive coronary artery bypass. - Michael Figl; Daniel Rueckert; David J. Hawkes; Roberto Casula; Mingxing Hu; Ose Pedro; Dong Ping Zhang; Graeme P. Penney; Fernando Bello; Philip J. Edwards (Image-Guided Procedures, 2008)

Left atrium segmentation for atrial fibrillation ablation. - Rashed Karim; Raad Mohiaddin; Daniel Rueckert (Image-Guided Procedures, 2008)

Interactive Finite Element Simulation of the Beating Heart for Image-Guided Robotic Cardiac Surgery. - Philip Pratt; Fernando Bello; Eddie Edwards; Daniel Rueckert (MMVR, 2008)

Automatic volumetry on MR brain images can support diagnostic decision making. - Rolf A. Heckemann; Alexander Hammers; Daniel Rueckert; Richard I. Aviv; Christopher J. Harvey; Joseph V. Hajnal (BMC Medical Imaging, 2008)

Performance prediction for a code with data-dependent runtimes. - Stephen A. Jarvis; B. P. Foley; P. J. Isitt; Daniel P. Spooner; Daniel Rueckert; Graham R. Nudd (Concurr. Comput. Pract. Exp., 2008)

Hierarchical statistical shape analysis and prediction of sub-cortical brain structures. - Anil Rao; Paul Aljabar; Daniel Rueckert (Medical Image Anal., 2008)

Assessment of brain growth in early childhood using deformation-based morphometry. - Paul Aljabar; Kanwal K. Bhatia; Maria Murgasova; Joseph V. Hajnal; James P. Boardman; Latha Srinivasan; Mary A. Rutherford; Leigh Dyet; A. David Edwards; Daniel Rueckert (NeuroImage, 2008)

Automated morphological analysis of magnetic resonance brain imaging using spectral analysis. - Paul Aljabar; Daniel Rueckert; William R. Crum (NeuroImage, 2008)

Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest. - Ioannis S. Gousias; Daniel Rueckert; Rolf A. Heckemann; Leigh Dyet; James P. Boardman; A. David Edwards; Alexander Hammers (NeuroImage, 2008)

The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation. - Rolf A. Heckemann; Alexander Hammers; Paul Aljabar; Daniel Rueckert; Joseph V. Hajnal (ISBI, 2009)

Automatic Extraction of the Left Atrial Anatomy from MR for Atrial Fibrillation Ablation. - Rashed Karim; Daniel Rueckert; Raad Mohiaddin; Peter Drivas (ISBI, 2009)

Atlas-Based Registration Parameters in Segmenting Sub-Cortical Regions from Brain MRI-Images. - Jyrki Lötjönen; Juha Koikkalainen; Daniel Rueckert (ISBI, 2009)

Robust Segmentation of Brain Structures in MRI. - Maria Murgasova; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2009)

Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information. - Robin Wolz; Paul Aljabar; Rolf A. Heckemann; Alexander Hammers; Daniel Rueckert (ISBI, 2009)

Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery. - Mingxing Hu; Graeme P. Penney; Daniel Rueckert; Philip J. Edwards; Fernando Bello; Roberto Casula; Michael Figl; David J. Hawkes (MICCAI (1), 2009)

Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter. - Hui Zhang 005; Paul A. Yushkevich; Daniel Rueckert; James C. Gee (MICCAI (1), 2009)

Photo-consistency registration of a 4D cardiac motion model to endoscopic video for image guidance of robotic coronary artery bypass. - Michael Figl; Daniel Rueckert; Eddie Edwards (Image-Guided Procedures, 2009)

Left atrium pulmonary veins: segmentation and quantification for planning atrial fibrillation ablation. - Rashed Karim; Raad Mohiaddin; Daniel Rueckert (Image-Guided Procedures, 2009)

Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan. - Shiva Keihaninejad; Rolf A. Heckemann; Ioannis S. Gousias; Daniel Rueckert; Paul Aljabar; Joseph V. Hajnal; Alexander Hammers (Image Processing, 2009)

4D motion modeling of the coronary arteries from CT images for robotic assisted minimally invasive surgery. - Dong Ping Zhang; Eddie Edwards; Lin Mei; Daniel Rueckert (Image Processing, 2009)

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy. - Paul Aljabar; Rolf A. Heckemann; Alexander Hammers; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2009)

An evaluation of four automatic methods of segmenting the subcortical structures in the brain. - Kolawole Oluwole Babalola; Brian Patenaude; Paul Aljabar; Julia A. Schnabel; David N. Kennedy; William R. Crum; Stephen M. Smith 001; Timothy F. Cootes; Mark Jenkinson; Daniel Rueckert (NeuroImage, 2009)

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. - Arno Klein; Jesper L. R. Andersson; Babak A. Ardekani; John Ashburner; Brian B. Avants; Ming-Chang Chiang; Gary E. Christensen; D. Louis Collins; James C. Gee; Pierre Hellier; Joo Hyun Song; Mark Jenkinson; et al. (NeuroImage, 2009)

Analysis of serial magnetic resonance images of mouse brains using image registration. - Satheesh Maheswaran; Hervé Barjat; Simon T. Bate; Paul Aljabar; Derek L. G. Hill; Lorna Tilling; Neil Upton; Michael F. James; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2009)

Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints. - Ravi Garg; Luis Pizarro; Daniel Rueckert; Lourdes Agapito (ACCV (4), 2010)

A Robust Mosaicing Method for Robotic Assisted Minimally Invasive Surgery. - Mingxing Hu; David J. Hawkes; Graeme P. Penney; Daniel Rueckert; Philip J. Edwards; Fernando Bello; Michael Figl; Roberto Casula (ICINCO (2), 2010)

Image registration of whole-body mouse MRI. - X. Josette Chen; Satheesh Maheswaran; Daniel Rueckert; R. Mark Henkelman (ISBI, 2010)

Automated quantification and analysis of mandibular asymmetry. - Tron A. Darvann; Nuno V. Hermann; Per Larsen; Hildur Ólafsdóttir; Izabella V. Hansen; Hanne D. Hove; Leif Christensen; Daniel Rueckert; Sven Kreiborg (ISBI, 2010)

Inference of functional connectivity from structural brain connectivity. - Fani Deligianni; Emma C. Robinson; Christian F. Beckmann; David J. Sharp; A. David Edwards; Daniel Rueckert (ISBI, 2010)

Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy. - Shiva Keihaninejad; Rolf A. Heckemann; Ioannis S. Gousias; Paul Aljabar; Joseph V. Hajnal; Daniel Rueckert; Alexander Hammers (ISBI, 2010)

Construction of a dynamic 4D probabilistic atlas for the developing brain. - Maria Murgasova; Latha Srinivasan; Ioannis S. Gousias; Paul Aljabar; Joseph V. Hajnal; A. David Edwards; Daniel Rueckert (ISBI, 2010)

Probabilistic white matter and fiber tract atlas construction. - Emma C. Robinson; Daniel Rueckert; Alexander Hammers; A. David Edwards (ISBI, 2010)

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. - Robin Wolz; Rolf A. Heckemann; Paul Aljabar; Joseph V. Hajnal; Alexander Hammers; Jyrki Lötjönen; Daniel Rueckert (ISBI, 2010)

Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search. - Dong Ping Zhang; Laurent Risser; Coert Metz; Lisan Neefjes; Nico Mollet; Wiro J. Niessen; Daniel Rueckert (ISBI, 2010)

A Robust Mosaicing Method with Super-Resolution for Optical Medical Images. - Mingxing Hu; Graeme P. Penney; Daniel Rueckert; Philip J. Edwards; Fernando Bello; Michael Figl; Roberto Casula; Yigang Cen; Jie Liu; Zhenjiang Miao (MIAR, 2010)

Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration. - Wenzhe Shi; Maria Murgasova; Philip J. Edwards; Daniel Rueckert (MIAR, 2010)

Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration. - Dong Ping Zhang; Laurent Risser; François-Xavier Vialard; Philip J. Edwards; Coert Metz; Lisan Neefjes; Nico Mollet; Wiro J. Niessen; Daniel Rueckert (MIAR, 2010)

Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas. - Rashed Karim; Christoph Juli; Louisa Malcolme-Lawes; David Wyn-Davies; Prapa Kanagaratnam; Nicholas S. Peters; Daniel Rueckert (STACOM/CESC, 2010)

Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. - Laurent Risser; François-Xavier Vialard; Robin Wolz; Darryl D. Holm; Daniel Rueckert (MICCAI (2), 2010)

Manifold Learning for Biomarker Discovery in MR Imaging. - Robin Wolz; Paul Aljabar; Joseph V. Hajnal; Daniel Rueckert (MLMI, 2010)

Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies. - Laurent Risser; François-Xavier Vialard; Maria Murgasova; Darryl D. Holm; Daniel Rueckert (WBIR, 2010)

Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA. - Dong Ping Zhang; Laurent Risser; Ola Friman; Coert Metz; Lisan Neefjes; Nico Mollet; Wiro J. Niessen; Daniel Rueckert (WBIR, 2010)

A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi. - Hui Zhang 005; Paul A. Yushkevich; Daniel Rueckert; James C. Gee (WBIR, 2010)

Image guidance for robotic minimally invasive coronary artery bypass. - Michael Figl; Daniel Rueckert; David J. Hawkes; Roberto Casula; Mingxing Hu; Ose Pedro; Dong Ping Zhang; Graeme P. Penney; Fernando Bello; Philip J. Edwards (Comput. Medical Imaging Graph., 2010)

Editorial. - Daniel Rueckert; David J. Hawkes; Guido Gerig; Guang-Zhong Yang (Medical Image Anal., 2010)

Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447]. - Kolawole Oluwole Babalola; Brian Patenaude; Paul Aljabar; Julia A. Schnabel; David N. Kennedy; William R. Crum; Stephen M. Smith 001; Timothy F. Cootes; Mark Jenkinson; Daniel Rueckert (NeuroImage, 2010)

An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease. - Gareth Ball; Serena J. Counsell; Mustafa Anjari; Nazakat Merchant; Tomoki Arichi; Valentina Doria; Mary A. Rutherford; A. David Edwards; Daniel Rueckert; James P. Boardman (NeuroImage, 2010)

A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm. - James P. Boardman; C. Craven; S. Valappil; Serena J. Counsell; Leigh Dyet; Daniel Rueckert; Paul Aljabar; Mary A. Rutherford; A. T. M. Chew; Joanna M. Allsop; Frances M. Cowan; A. David Edwards (NeuroImage, 2010)

Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation. - Rolf A. Heckemann; Shiva Keihaninejad; Paul Aljabar; Daniel Rueckert; Joseph V. Hajnal; Alexander Hammers (NeuroImage, 2010)

Fast and robust multi-atlas segmentation of brain magnetic resonance images. - Jyrki Lötjönen; Robin Wolz; Juha Koikkalainen; Lennart Thurfjell; Gunhild Waldemar; Hilkka Soininen; Daniel Rueckert (NeuroImage, 2010)

Identifying population differences in whole-brain structural networks: A machine learning approach. - Emma C. Robinson; Alexander Hammers; Anders Ericsson; A. David Edwards; Daniel Rueckert (NeuroImage, 2010)

LEAP: Learning embeddings for atlas propagation. - Robin Wolz; Paul Aljabar; Joseph V. Hajnal; Alexander Hammers; Daniel Rueckert (NeuroImage, 2010)

Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI. - Robin Wolz; Rolf A. Heckemann; Paul Aljabar; Joseph V. Hajnal; Alexander Hammers; Jyrki Lötjönen; Daniel Rueckert (NeuroImage, 2010)

Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner]. - Daniel Rueckert; Paul Aljabar (IEEE Signal Process. Mag., 2010)

Learning and Discovery of Clinically Useful Information from Images. - Daniel Rueckert (Bildverarbeitung für die Medizin, 2011)

A dynamic approach to the recognition of 3D facial expressions and their temporal models. - Georgia Sandbach; Stefanos Zafeiriou; Maja Pantic; Daniel Rueckert (FG, 2011)

Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging. - Rashed Karim; Aruna Arujuna; Alex Brazier; Jaswinder S. Gill; C. Aldo Rinaldi; Mark D. O'Neill; Reza Razavi; Tobias Schaeffter; Daniel Rueckert; Kawal S. Rhode (FIMH, 2011)

Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation. - Wenzhe Shi; Xiahai Zhuang; Haiyan Wang 018; Simon G. Duckett; Declan P. O'Regan; Philip J. Edwards; Sébastien Ourselin; Daniel Rueckert (FIMH, 2011)

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation. - Jiahe Xi; Pablo Lamata; Wenzhe Shi; Steven A. Niederer; Sander Land; Daniel Rueckert; Simon G. Duckett; Anoop Shetty; C. Aldo Rinaldi; Reza Razavi; Nic Smith (FIMH, 2011)

A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions. - Xiahai Zhuang; Wenzhe Shi; Simon G. Duckett; Haiyan Wang 018; Reza Razavi; David J. Hawkes; Daniel Rueckert; Sébastien Ourselin (FIMH, 2011)

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections. - Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; Emma C. Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert (IPMI, 2011)

Automated quantification and analysis of facial asymmetry in children with arthritis in the temporomandibular joint. - Tron A. Darvann; Nuno V. Hermann; Sune Demant; Per Larsen; Hildur Ólafsdóttir; Signe S. Thorup; Marek Zak; Angelo B. Lipira; Alex A. Kane; Daniel Govier; Helena Schatz; Daniel Rueckert; et al. (ISBI, 2011)

Inference of functional connectivity from direct and indirect structural brain connections. - Fani Deligianni; Emma C. Robinson; Christian F. Beckmann; David J. Sharp; A. David Edwards; Daniel Rueckert (ISBI, 2011)

Exploiting hierarchy in structural brain networks. - Fani Deligianni; Emma C. Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert; Daniel C. Alexander (ISBI, 2011)

Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease. - Katherine R. Gray; Robin Wolz; Shiva Keihaninejad; Rolf A. Heckemann; Paul Aljabar; Alexander Hammers; Daniel Rueckert (ISBI, 2011)

A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment. - Rolf A. Heckemann; Shiva Keihaninejad; Paul Aljabar; Katherine R. Gray; Casper Nielsen; Daniel Rueckert; Joseph V. Hajnal; Alexander Hammers (ISBI, 2011)

Improved generation of probabilistic atlases for the expectation maximization classification. - Jyrki Lötjönen; Robin Wolz; Juha Koikkalainen; Lennart Thurfjell; Roger Lundqvist; Gunhild Waldemar; Hilkka Soininen; Daniel Rueckert (ISBI, 2011)

Towards dense motion estimation in light and electron microscopy. - Luis Pizarro; José Delpiano; Paul Aljabar; Javier Ruiz-del-Solar; Daniel Rueckert (ISBI, 2011)

Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI. - Ahmed Serag; Paul Aljabar; Serena J. Counsell; James P. Boardman; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2011)

Construction of a 4D atlas of the developing brain using non-rigid registration. - Ahmed Serag; Paul Aljabar; Serena J. Counsell; James P. Boardman; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2011)

Automatical vessel wall detection in intravascular coronary OCT. - Kai-Pin Tung; Wenzhe Shi; Ranil De Silva; Eddie Edwards; Daniel Rueckert (ISBI, 2011)

Manifold learning combining imaging with non-imaging information. - Robin Wolz; Paul Aljabar; Joseph V. Hajnal; Jyrki Lötjönen; Daniel Rueckert (ISBI, 2011)

Automatic segmentation and identification of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration. - Bin Chen; Hideto Naito; Yoshihiko Nakamura; Takayuki Kitasaka; Daniel Rueckert; Hirotoshi Honma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Kensaku Mori (Computer-Aided Diagnosis, 2011)

Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia. - Katherine R. Gray; Paul Aljabar; Rolf A. Heckemann; Alexander Hammers; Daniel Rueckert (MLMI, 2011)

Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. - Ricardo Guerrero; Robin Wolz; Daniel Rueckert (MICCAI (2), 2011)

Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance. - Rashed Karim; Aruna Arujuna; Alex Brazier; Jaswinder S. Gill; C. Aldo Rinaldi; Michael Cooklin; Mark D. O'Neill; Reza Razavi; Tobias Schaeffter; Daniel Rueckert; Kawal S. Rhode (STACOM, 2011)

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. - Wenzhe Shi; Xiahai Zhuang; Robin Wolz; Simon G. Duckett; Kai-Pin Tung; Haiyan Wang 018; Sébastien Ourselin; Philip J. Edwards; Reza Razavi; Daniel Rueckert (STACOM, 2011)

Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images. - Haiyan Wang 018; Wenzhe Shi; Xiahai Zhuang; Simon G. Duckett; Kai-Pin Tung; Philip J. Edwards; Reza Razavi; Sébastien Ourselin; Daniel Rueckert (STACOM, 2011)

Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI). - Claire R. Donoghue; Anil Rao; Anthony M. J. Bull; Daniel Rueckert (Image Processing, 2011)

Incorporating hard constraints into non-rigid registration via nonlinear programming. - Duy V. N. Luong; Daniel Rueckert; Berç Rustem (Image Processing, 2011)

Motion tracking of left ventricle and coronaries in 4D CTA. - Dong Ping Zhang; Xiahai Zhuang; Sébastien Ourselin; Daniel Rueckert (Image Processing, 2011)

Hierarchy in structural brain networks. - Fani Deligianni; Emma C. Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert; Daniel C. Alexander (MIUA, 2011)

Regional Analysis of FDG-PET for the Classification of Alzheimers Disease. - Katherine R. Gray; Robin Wolz; Shiva Keihaninejad; Rolf A. Heckemann; Paul Aljabar; Alexander Hammers; Daniel Rueckert (MIUA, 2011)

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease. - Eva Janousová; Maria Vounou; Robin Wolz; Katherine R. Gray; Daniel Rueckert; Giovanni Montana (MIUA, 2011)

A Four-dimensional Atlas of Neonatal Brain MRI. - Ahmed Serag; Paul Aljabar; Serena J. Counsell; James P. Boardman; Joseph V. Hajnal; Daniel Rueckert (MIUA, 2011)

Automated Segmentation of Coronary Vessel Wall in OCT Imaging. - Kai-Pin Tung; Wenzhe Shi; Ranil De Silva; Philip J. Edwards; Daniel Rueckert (MIUA, 2011)

Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images. - François-Xavier Vialard; Laurent Risser; Darryl D. Holm; Daniel Rueckert (MIUA, 2011)

Manifold-based classification incorporating subject metadata. - Robin Wolz; Paul Aljabar; Joseph V. Hajnal; Jyrki Lötjönen; Daniel Rueckert (MIUA, 2011)

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection. - Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; Emma C. Robinson; David J. Sharp; A. David Edwards; Daniel Rueckert (MLINI, 2011)

Automatic morphometry in Alzheimer's disease and mild cognitive impairment. - Rolf A. Heckemann; Shiva Keihaninejad; Paul Aljabar; Katherine R. Gray; Casper Nielsen; Daniel Rueckert; Joseph V. Hajnal; Alexander Hammers (NeuroImage, 2011)

Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease. - Juha Koikkalainen; Jyrki Lötjönen; Lennart Thurfjell; Daniel Rueckert; Gunhild Waldemar; Hilkka Soininen (NeuroImage, 2011)

A dynamic 4D probabilistic atlas of the developing brain. - Maria Kuklisova-Murgasova; Paul Aljabar; Latha Srinivasan; Serena J. Counsell; Valentina Doria; Ahmed Serag; Ioannis S. Gousias; James P. Boardman; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2011)

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease. - Jyrki Lötjönen; Robin Wolz; Juha Koikkalainen; Valtteri Julkunen; Lennart Thurfjell; Roger Lundqvist; Gunhild Waldemar; Hilkka Soininen; Daniel Rueckert (NeuroImage, 2011)

A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development. - Paul Aljabar; Robin Wolz; Latha Srinivasan; Serena J. Counsell; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2011)

Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. - Laurent Risser; François-Xavier Vialard; Robin Wolz; Maria Murgasova; Darryl D. Holm; Daniel Rueckert (IEEE Trans. Medical Imaging, 2011)

Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative. - Claire R. Donoghue; Anil Rao; Luis Pizarro; Anthony M. J. Bull; Daniel Rueckert (CVPR Workshops, 2012)

4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction. - Martin Jantsch; Daniel Rueckert; Joseph V. Hajnal (ICCSW, 2012)

Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities. - Ricardo Guerrero; Luis Pizarro; Robin Wolz; Daniel Rueckert (ISBI, 2012)

Multi-class brain segmentation using atlas propagation and EM-based refinement. - Christian Ledig; Robin Wolz; Paul Aljabar; Jyrki Lötjönen; Rolf A. Heckemann; Alexander Hammers; Daniel Rueckert (ISBI, 2012)

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. - Jyrki Lötjönen; Robin Wolz; Juha Koikkalainen; Valeria Manna; Christian Ledig; Lennart Thurfjell; Roger Lundqvist; Gunhild Waldemar; Hilkka Soininen; Daniel Rueckert (ISBI, 2012)

LISA: Longitudinal image registration via spatio-temporal atlases. - Ahmed Serag; Paul Aljabar; Serena J. Counsell; James P. Boardman; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2012)

Solving MRF Minimization by Mirror Descent. - Duy V. N. Luong; Panos Parpas; Daniel Rueckert; Berç Rustem (ISVC (1), 2012)

Automatic detection of coronary stent struts in intravascular OCT imaging. - Kai-Pin Tung; Wenzhe Shi; Luis Pizarro; Hiroto Tsujioka; Haiyan Wang 018; Ricardo Guerrero; Ranil De Silva; Philip Eddie Edwards; Daniel Rueckert (Computer-Aided Diagnosis, 2012)

Hierarchical Manifold Learning. - Kanwal K. Bhatia; Anil Rao; Anthony N. Price; Robin Wolz; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2012)

Dictionary Learning and Time Sparsity in Dynamic MRI. - Jose Caballero; Daniel Rueckert; Joseph V. Hajnal (MICCAI (1), 2012)

Geodesic Information Flows. - Manuel Jorge Cardoso; Robin Wolz; Marc Modat; Nick C. Fox; Daniel Rueckert; Sébastien Ourselin (MICCAI (2), 2012)

Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. - Ricardo Guerrero; Claire R. Donoghue; Luis Pizarro; Daniel Rueckert (MLMI, 2012)

Gradient Projection Learning for Parametric Nonrigid Registration. - Stefan Pszczólkowski; Luis Pizarro; Declan P. O'Regan; Daniel Rueckert (MLMI, 2012)

Unsupervised Learning of Shape Complexity: Application to Brain Development. - Ahmed Serag; Ioannis S. Gousias; Antonios Makropoulos; Paul Aljabar; Joseph V. Hajnal; James P. Boardman; Serena J. Counsell; Daniel Rueckert (STIA, 2012)

Registration Using Sparse Free-Form Deformations. - Wenzhe Shi; Xiahai Zhuang; Luis Pizarro; Wenjia Bai; Haiyan Wang 018; Kai-Pin Tung; Philip J. Edwards; Daniel Rueckert (MICCAI (2), 2012)

Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. - Zehan Wang; Robin Wolz; Tong Tong 001; Daniel Rueckert (MCV, 2012)

Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. - Robin Wolz; Chengwen Chu; Kazunari Misawa; Kensaku Mori; Daniel Rueckert (MICCAI (1), 2012)

Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions. - Xianliang Wu; Richard James Housden; YingLiang Ma; Daniel Rueckert; Kawal S. Rhode (STACOM, 2012)

Localised manifold learning for cardiac image analysis. - Kanwal K. Bhatia; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (Image Processing, 2012)

Nonrigid free-form registration using landmark-based statistical deformation models. - Stefan Pszczólkowski; Luis Pizarro; Ricardo Guerrero; Daniel Rueckert (Image Processing, 2012)

Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI). - Claire R. Donoghue; Anil Rao; Anthony M. J. Bull; Daniel Rueckert (WBIR, 2012)

Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation. - François-Xavier Vialard; Laurent Risser; Daniel Rueckert; Colin J. Cotter (Int. J. Comput. Vis., 2012)

Recognition of 3D facial expression dynamics. - Georgia Sandbach; Stefanos Zafeiriou; Maja Pantic; Daniel Rueckert (Image Vis. Comput., 2012)

Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes. - Mingxing Hu; Graeme P. Penney; Michael Figl; Philip J. Edwards; Fernando Bello; Roberto Casula; Daniel Rueckert; David J. Hawkes (Medical Image Anal., 2012)

Nonlinear dimensionality reduction combining MR imaging with non-imaging information. - Robin Wolz; Paul Aljabar; Joseph V. Hajnal; Jyrki Lötjönen; Daniel Rueckert (Medical Image Anal., 2012)

Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants. - Ioannis S. Gousias; A. David Edwards; Mary A. Rutherford; Serena J. Counsell; Joseph V. Hajnal; Daniel Rueckert; Alexander Hammers (NeuroImage, 2012)

Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. - Katherine R. Gray; Robin Wolz; Rolf A. Heckemann; Paul Aljabar; Alexander Hammers; Daniel Rueckert (NeuroImage, 2012)

Automated measurement of local white matter lesion volume. - Fedde van der Lijn; Benjamin F. J. Verhaaren; Mohammad Arfan Ikram; Stefan Klein 001; Marleen de Bruijne; Henri A. Vrooman; Meike W. Vernooij; Alexander Hammers; Daniel Rueckert; Aad van der Lugt; Monique M. B. Breteler; Wiro J. Niessen (NeuroImage, 2012)

Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression. - Ahmed Serag; Paul Aljabar; Gareth Ball; Serena J. Counsell; James P. Boardman; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2012)

Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265]. - Ahmed Serag; Paul Aljabar; Gareth Ball; Serena J. Counsell; James P. Boardman; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2012)

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. - Maria Vounou; Eva Janousová; Robin Wolz; Jason L. Stein; Paul M. Thompson; Daniel Rueckert; Giovanni Montana (NeuroImage, 2012)

A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration. - Wenzhe Shi; Xiahai Zhuang; Haiyan Wang 018; Simon G. Duckett; Duy V. N. Luong; Catalina Tobon-Gomez; Kai-Pin Tung; Philip J. Edwards; Kawal S. Rhode; Reza Razavi; Sébastien Ourselin; Daniel Rueckert (IEEE Trans. Medical Imaging, 2012)

Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI. - Radomír Chabiniok; James Wong; Daniel Giese; David Nordsletten; Wenzhe Shi; Gerald Greil; Daniel Rueckert; Reza Razavi; Tobias Schaeffter; Nic Smith (FIMH, 2013)

Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. - Christian F. Baumgartner; Christoph Kolbitsch; Jamie McClelland; Daniel Rueckert; Andrew P. King (IPMI, 2013)

3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction. - Martin Jantsch; Daniel Rueckert; Anthony N. Price; Joseph V. Hajnal (ISBI, 2013)

Multi-atlas based neointima segmentation in intravascular coronary OCT. - Kai-Pin Tung; Wen-Jia Bei; Wenzhe Shi; Haiyan Wang 018; Tong Tong 001; Ranil De Silva; Eddie Edwards; Daniel Rueckert (ISBI, 2013)

Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions. - Xianliang Wu; Richard James Housden; Niharika Varma; YingLiang Ma; Daniel Rueckert; Kawal S. Rhode (ISBI, 2013)

Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images. - Chengwen Chu; Masahiro Oda 001; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Yuichiro Hayashi; Yukitaka Nimura; Daniel Rueckert; Kensaku Mori (MICCAI (2), 2013)

Localisation of the Brain in Fetal MRI Using Bundled SIFT Features. - Kevin Keraudren; Vanessa Kyriakopoulou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2013)

Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. - Liu Liu; Wenzhe Shi; Daniel Rueckert; Mingxing Hu; Sébastien Ourselin; Xiahai Zhuang (MICCAI (1), 2013)

Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches. - Markus Schirmer; Gareth Ball; Serena J. Counsell; A. David Edwards; Daniel Rueckert; Joseph V. Hajnal; Paul Aljabar (MICCAI (1), 2013)

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. - Wenzhe Shi; Jose Caballero; Christian Ledig; Xiahai Zhuang; Wenjia Bai; Kanwal K. Bhatia; Antonio M. Simoes Monteiro de Marvao; Tim Dawes; Declan P. O'Regan; Daniel Rueckert (MICCAI (3), 2013)

Multiple Instance Learning for Classification of Dementia in Brain MRI. - Tong Tong 001; Robin Wolz; Qinquan Gao; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2013)

Patch-Based Segmentation without Registration: Application to Knee MRI. - Zehan Wang; Claire R. Donoghue; Daniel Rueckert (MLMI, 2013)

Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding. - Nick Weiss; Daniel Rueckert; Anil Rao (MICCAI (1), 2013)

Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions. - Xianliang Wu; Richard James Housden; Niharika Varma; YingLiang Ma; Kawal S. Rhode; Daniel Rueckert (STACOM, 2013)

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas. - Chengwen Chu; Masahiro Oda 001; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Yuichiro Hayashi; Robin Wolz; Daniel Rueckert; Kensaku Mori (Image Processing, 2013)

Data-specific feature point descriptor matching using dictionary learning and graphical models. - Ricardo Guerrero; Daniel Rueckert (Image Processing, 2013)

Improving whole-brain segmentations through incorporating regional image intensity statistics. - Christian Ledig; Rolf A. Heckemann; Alexander Hammers; Daniel Rueckert (Image Processing, 2013)

Landmark detection and coupled patch registration for cardiac motion tracking. - Haiyan Wang 018; Wenzhe Shi; Xiahai Zhuang; Xianliang Wu; Kai-Pin Tung; Sébastien Ourselin; Philip J. Edwards; Daniel Rueckert (Image Processing, 2013)

Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI. - Xiahai Zhuang; Wenzhe Shi; Haiyan Wang 018; Daniel Rueckert; Sébastien Ourselin (Image Processing, 2013)

Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy. - Qinquan Gao; Ping-Lin Chang; Daniel Rueckert; Syed Mohammed Ali; Daniel Cohen; Philip Pratt; Erik Mayer; Guang-Zhong Yang; Ara Darzi; Philip J. Edwards (Comput. Medical Imaging Graph., 2013)

Temporal sparse free-form deformations. - Wenzhe Shi; Martin Jantsch; Paul Aljabar; Luis Pizarro; Wenjia Bai; Haiyan Wang 018; Declan P. O'Regan; Xiahai Zhuang; Daniel Rueckert (Medical Image Anal., 2013)

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database. - Catalina Tobon-Gomez; Mathieu De Craene; Kristin McLeod; Lennart Tautz; Wenzhe Shi; Anja Hennemuth; Adityo Prakosa; H. Wang; Gerry Carr-White; Stam Kapetanakis; Anja Lutz; Volker Rasche; et al. (Medical Image Anal., 2013)

The estimation of patient-specific cardiac diastolic functions from clinical measurements. - Jiahe Xi; Pablo Lamata; Steven A. Niederer; Sander Land; Wenzhe Shi; Xiahai Zhuang; Sébastien Ourselin; Simon G. Duckett; Anoop Shetty; C. Aldo Rinaldi; Daniel Rueckert; Reza Razavi; et al. (Medical Image Anal., 2013)

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease. - Katherine R. Gray; Paul Aljabar; Rolf A. Heckemann; Alexander Hammers; Daniel Rueckert (NeuroImage, 2013)

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling. - Tong Tong 001; Robin Wolz; Pierrick Coupé; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2013)

A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images. - Wenjia Bai; Wenzhe Shi; Declan P. O'Regan; Tong Tong 001; Haiyan Wang 018; Shahnaz Jamil-Copley; Nicholas S. Peters; Daniel Rueckert (IEEE Trans. Medical Imaging, 2013)

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks. - Fani Deligianni; Gaël Varoquaux; Bertrand Thirion; David J. Sharp; Christian Ledig; Robert Leech; Daniel Rueckert (IEEE Trans. Medical Imaging, 2013)

Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation. - Robin Wolz; Chengwen Chu; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori; Daniel Rueckert (IEEE Trans. Medical Imaging, 2013)

Patch-Based Evaluation of Image Segmentation. - Christian Ledig; Wenzhe Shi; Wenjia Bai; Daniel Rueckert (CVPR, 2014)

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images. - Qinquan Gao; Akshay Asthana; Tong Tong 001; Yipeng Hu; Daniel Rueckert; Philip J. Edwards (ICPR, 2014)

Autoadaptive motion modelling. - Christian F. Baumgartner; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andy P. King (ISBI, 2014)

Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. - Kanwal K. Bhatia; Anthony N. Price; Wenzhe Shi; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2014)

Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAI. - Claire R. Donoghue; Anil Rao; Anthony M. J. Bull; Daniel Rueckert (ISBI, 2014)

Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors. - Bernhard Kainz; Kevin Keraudren; Vanessa Kyriakopoulou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2014)

High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study. - Bernhard Kainz; Philip Voglreiter; Michael Sereinigg; Iris Wiederstein-Grasser; Ursula Mayrhauser; Sonja Kostenbauer; Mika Pollari; Rostislav Khlebnikov; Matthias Seise; Tuomas Alhonnoro; Yrjö Häme; Daniel Seider; et al. (ISBI, 2014)

Automatic quantification of CT images for traumatic brain injury. - Juha Koikkalainen; Jyrki Lötjönen; Christian Ledig; Daniel Rueckert; Olli Tenovuo; David K. Menon (ISBI, 2014)

Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury. - Christian Ledig; Wenzhe Shi; Antonios Makropoulos; Juha Koikkalainen; Rolf A. Heckemann; Alexander Hammers; Jyrki Lötjönen; Olli Tenovuo; Daniel Rueckert (ISBI, 2014)

Coronary centerline extraction based on ostium detection and model-guided directional minimal path. - Liu Liu; Wenzhe Shi; Daniel Rueckert; Mingxing Hu; Sébastien Ourselin; Xiahai Zhuang (ISBI, 2014)

Extended boundary shift integral. - Jyrki Lötjönen; Christian Ledig; Juha Koikkalainen; Robin Wolz; Lennart Thurfjell; Hilkka Soininen; Sébastien Ourselin; Daniel Rueckert (ISBI, 2014)

A robust similarity measure for nonrigid image registration with outliers. - Stefan Pszczólkowski; Stefanos Zafeiriou; Christian Ledig; Daniel Rueckert (ISBI, 2014)

Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework. - Anil Rao; Christian Ledig; Virginia F. J. Newcombe; David K. Menon; Daniel Rueckert (ISBI, 2014)

A fast catheter segmentation and tracking from echocardiographic sequences based on corresponding X-ray fluoroscopic image segmentation and hierarchical GRAPH modelling. - Xianliang Wu; Richard James Housden; YingLiang Ma; Kawal S. Rhode; Daniel Rueckert (ISBI, 2014)

Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images. - Qinquan Gao; Tong Tong 001; Daniel Rueckert; Eddie Edwards (Computer-Aided Diagnosis, 2014)

Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data. - Jose Caballero; Wenjia Bai; Anthony N. Price; Daniel Rueckert; Joseph V. Hajnal (MICCAI (1), 2014)

Manifold Learning for Cardiac Modeling and Estimation Framework. - Radomír Chabiniok; Kanwal K. Bhatia; Andrew P. King; Daniel Rueckert; Nicolas Smith (STACOM, 2014)

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. - Ricardo Guerrero; Christian Ledig; Daniel Rueckert (MLMI, 2014)

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. - Bernhard Kainz; Christina Malamateniou; Maria Murgasova; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2014)

Graph-Based Label Propagation in Fetal Brain MR Images. - Lisa M. Koch; Robert Wright; Deniz Vatansever; Vanessa Kyriakopoulou; Christina Malamateniou; Prachi A. Patkee; Mary A. Rutherford; Joseph V. Hajnal; Paul Aljabar; Daniel Rueckert (MLMI, 2014)

Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. - Andreas Schuh; Maria Murgasova; Antonios Makropoulos; Christian Ledig; Serena J. Counsell; Joseph V. Hajnal; Paul Aljabar; Daniel Rueckert (STIA, 2014)

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. - Wenzhe Shi; Herve Lombaert; Wenjia Bai; Christian Ledig; Xiahai Zhuang; Antonio M. Simoes Monteiro de Marvao; Timothy Dawes; Declan P. O'Regan; Daniel Rueckert (MICCAI (1), 2014)

Geodesic Patch-Based Segmentation. - Zehan Wang; Kanwal K. Bhatia; Ben Glocker; Antonio M. Simoes Monteiro de Marvao; Tim Dawes; Kazunari Misawa; Kensaku Mori; Daniel Rueckert (MICCAI (1), 2014)

Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation. - Qinquan Gao; Akshay Asthana; Tong Tong 001; Daniel Rueckert; Philip J. Edwards (Image Processing, 2014)

High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. - Christian F. Baumgartner; Christoph Kolbitsch; Daniel R. Balfour; Paul K. Marsden; Jamie R. McClelland; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2014)

Multiple instance learning for classification of dementia in brain MRI. - Tong Tong 001; Robin Wolz; Qinquan Gao; Ricardo Guerrero; Joseph V. Hajnal; Daniel Rueckert (Medical Image Anal., 2014)

Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO. - Ricardo Guerrero; Robin Wolz; A. W. Rao; Daniel Rueckert (NeuroImage, 2014)

Automated fetal brain segmentation from 2D MRI slices for motion correction. - Kevin Keraudren; Maria Kuklisova-Murgasova; Vanessa Kyriakopoulou; Christina Malamateniou; Mary A. Rutherford; Bernhard Kainz; Joseph V. Hajnal; Daniel Rueckert (NeuroImage, 2014)

Automatic quantification of normal cortical folding patterns from fetal brain MRI. - Robert Wright; Vanessa Kyriakopoulou; Christian Ledig; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Paul Aljabar (NeuroImage, 2014)

Hierarchical Manifold Learning for Regional Image Analysis. - Kanwal K. Bhatia; Anil Rao; Anthony N. Price; Robin Wolz; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2014)

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction. - Jose Caballero; Anthony N. Price; Daniel Rueckert; Joseph V. Hajnal (IEEE Trans. Medical Imaging, 2014)

Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain. - Antonios Makropoulos; Ioannis S. Gousias; Christian Ledig; Paul Aljabar; Ahmed Serag; Joseph V. Hajnal; A. David Edwards; Serena J. Counsell; Daniel Rueckert (IEEE Trans. Medical Imaging, 2014)

Registration and Segmentation in Medical Imaging. - Daniel Rueckert; Julia A. Schnabel (Registration and Recognition in Images and Videos, 2014)

Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. - Sergio Campos; Luis Pizarro; Carlos Valle; Katherine R. Gray; Daniel Rueckert; Héctor Allende (CIARP, 2015)

A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images. - Igor R. R. Xavier; M. Pereira; Gilson A. Giraldi; Stuart James Gibson; Christopher J. Solomon; Daniel Rueckert; Duncan Gillies; Carlos E. Thomaz (EST, 2015)

Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects. - Wenjia Bai; Devis Peressutti; Ozan Oktay; Wenzhe Shi; Declan P. O'Regan; Andrew P. King; Daniel Rueckert (FIMH, 2015)

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. - Ozan Oktay; Alberto Gómez 002; Kevin Keraudren; Andreas Schuh; Wenjia Bai; Wenzhe Shi; Graeme P. Penney; Daniel Rueckert (FIMH, 2015)

Prediction of Clinical Information from Cardiac MRI Using Manifold Learning. - Haiyan Wang 018; Wenzhe Shi; Wenjia Bai; Antonio M. Simoes Monteiro de Marvao; Timothy J. W. Dawes; Declan P. O'Regan; Philip J. Edwards; Stuart A. Cook; Daniel Rueckert (FIMH, 2015)

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. - Amir Alansary; Matthew C. H. Lee; Kevin Keraudren; Bernhard Kainz; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert (MLMMI@ICML, 2015)

Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI. - Salim Arslan; Sarah Parisot; Daniel Rueckert (IPMI, 2015)

Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. - Christian F. Baumgartner; Alberto Gómez 002; Lisa M. Koch; Richard James Housden; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andy P. King (IPMI, 2015)

Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data. - Lisa M. Koch; Martin Rajchl; Tong Tong 001; Jonathan Passerat-Palmbach; Paul Aljabar; Daniel Rueckert (IPMI, 2015)

Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. - Sarah Parisot; Salim Arslan; Jonathan Passerat-Palmbach; William M. Wells III; Daniel Rueckert (IPMI, 2015)

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease. - Alexander Schmidt-Richberg; Ricardo Guerrero; Christian Ledig; Helena Molina-Abril; Alejandro F. Frangi; Daniel Rueckert (IPMI, 2015)

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. - Bernhard Kainz; Christina Malamateniou; Giulio Ferrazzi; Maria Murgasova; Jan Egger; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2015)

Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI. - Salim Arslan; Daniel Rueckert (MICCAI (3), 2015)

Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features. - Wenjia Bai; Ozan Oktay; Daniel Rueckert (STACOM@MICCAI, 2015)

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. - Wenjia Bai; Devis Peressutti; Sarah Parisot; Ozan Oktay; Martin Rajchl; Declan P. O'Regan; Stuart A. Cook; Andrew P. King; Daniel Rueckert (STACOM@MICCAI, 2015)

Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. - Kanwal K. Bhatia; Jose Caballero; Anthony N. Price; Ying Sun 001; Joseph V. Hajnal; Daniel Rueckert (MICCAI (3), 2015)

Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. - Liang Chen 018; Tong Tong 001; Chin Pang Ho; Rajiv Patel; David A. Cohen; Angela C. Dawson; Omid Halse; Olivia Geraghty; Paul E. M. Rinne; Christopher J. White; Tagore Nakornchai; Paul Bentley; et al. (MICCAI (1), 2015)

Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. - Ricardo Guerrero; Christian Ledig; Alexander Schmidt-Richberg; Daniel Rueckert (MLMI, 2015)

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images. - Bernhard Kainz; Amir Alansary; Christina Malamateniou; Kevin Keraudren; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2015)

Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes. - Kenichi Karasawa; Takayuki Kitasaka; Masahiro Oda 001; Yukitaka Nimura; Yuichiro Hayashi; Michitaka Fujiwara; Kazunari Misawa; Daniel Rueckert; Kensaku Mori (MCV@MICCAI, 2015)

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features. - Kevin Keraudren; Bernhard Kainz; Ozan Oktay; Vanessa Kyriakopoulou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert (MICCAI (3), 2015)

Structured Decision Forests for Multi-modal Ultrasound Image Registration. - Ozan Oktay; Andreas Schuh; Martin Rajchl; Kevin Keraudren; Alberto Gómez 002; Mattias P. Heinrich; Graeme P. Penney; Daniel Rueckert (MICCAI (2), 2015)

A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation. - Sarah Parisot; Martin Rajchl; Jonathan Passerat-Palmbach; Daniel Rueckert (MICCAI (3), 2015)

Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. - Devis Peressutti; Wenjia Bai; Thomas Jackson; Manav Sohal; C. Aldo Rinaldi; Daniel Rueckert; Andrew P. King (MICCAI (3), 2015)

Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. - Devis Peressutti; Wenjia Bai; Wenzhe Shi; Catalina Tobon-Gomez; Thomas Jackson; Manav Sohal; C. Aldo Rinaldi; Daniel Rueckert; Andrew P. King (STACOM@MICCAI, 2015)

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease. - Tong Tong 001; Katherine R. Gray; Qinquan Gao; Liang Chen 018; Daniel Rueckert (MLMI, 2015)

Learning and Combining Image Similarities for Neonatal Brain Population Studies. - Veronika A. M. Zimmer; Ben Glocker; Paul Aljabar; Serena J. Counsell; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal; Miguel Ángel González Ballester; Daniel Rueckert; Gemma Piella (MLMI, 2015)

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans. - Christopher Bowles; Niamh C. Nowlan; Tayyib T. A. Hayat; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (Image Processing, 2015)

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases. - Kenichi Karasawa; Masahiro Oda 001; Yuichiro Hayashi; Yukitaka Nimura; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert; Kensaku Mori (Image Processing, 2015)

Multi-atlas segmentation with augmented features for cardiac MR images. - Wenjia Bai; Wenzhe Shi; Christian Ledig; Daniel Rueckert (Medical Image Anal., 2015)

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. - Wenjia Bai; Wenzhe Shi; Antonio M. Simoes Monteiro de Marvao; Timothy J. W. Dawes; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (Medical Image Anal., 2015)

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. - Ivana Isgum; Manon J. N. L. Benders; Brian B. Avants; Manuel Jorge Cardoso; Serena J. Counsell; Elda Fischi Gomez; Laura Gui; Petra S. Hüppi; Karina J. Kersbergen; Antonios Makropoulos; Andrew Melbourne; Pim Moeskops; et al. (Medical Image Anal., 2015)

Robust whole-brain segmentation: Application to traumatic brain injury. - Christian Ledig; Rolf A. Heckemann; Alexander Hammers; Juan Carlos López; Virginia F. J. Newcombe; Antonios Makropoulos; Jyrki Lötjönen; David K. Menon; Daniel Rueckert (Medical Image Anal., 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - Caroline Petitjean; Maria A. Zuluaga; Wenjia Bai; Jean-Nicolas Dacher; Damien Grosgeorge; Jérôme Caudron; Su Ruan; Ismail Ben Ayed; Manuel Jorge Cardoso; Hsiang-Chou Chen; Daniel Jimenez-Carretero; María J. Ledesma-Carbayo; et al. (Medical Image Anal., 2015)

Discriminative dictionary learning for abdominal multi-organ segmentation. - Tong Tong 001; Robin Wolz; Zehan Wang; Qinquan Gao; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori; Joseph V. Hajnal; Daniel Rueckert (Medical Image Anal., 2015)

Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching. - Robert Wright; Antonios Makropoulos; Vanessa Kyriakopoulou; Prachi A. Patkee; Lisa M. Koch; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Paul Aljabar (NeuroImage, 2015)

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. - Manuel Jorge Cardoso; Marc Modat; Robin Wolz; Andrew Melbourne; David M. Cash; Daniel Rueckert; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2015)

4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data. - Alberto Gómez 002; Adelaide de Vecchi; Martin Jantsch; Wenzhe Shi; Kuberan Pushparajah; John M. Simpson; Nicolas P. Smith; Daniel Rueckert; Tobias Schaeffter; Graeme P. Penney (IEEE Trans. Medical Imaging, 2015)

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. - Bernhard Kainz; Markus Steinberger; Wolfgang Wein; Maria Kuklisova-Murgasova; Christina Malamateniou; Kevin Keraudren; Thomas Torsney-Weir; Mary A. Rutherford; Paul Aljabar; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2015)

Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions. - Xianliang Wu; Richard James Housden; YingLiang Ma; Benjamin Razavi; Kawal S. Rhode; Daniel Rueckert (IEEE Trans. Medical Imaging, 2015)

Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps. - Ozan Oktay; Giacomo Tarroni; Wenjia Bai; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (CinC, 2016)

Fast Deformable Image Registration with Non-smooth Dual Optimization. - Martin Rajchl; John S. H. Baxter; Wu Qiu; Ali R. Khan; Aaron Fenster; Terry M. Peters; Daniel Rueckert; Jing Yuan 001 (CVPR Workshops, 2016)

Discrete Optimisation for Group-Wise Cortical Surface Atlasing. - Emma C. Robinson; Ben Glocker; Martin Rajchl; Daniel Rueckert (CVPR Workshops, 2016)

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. - Wenzhe Shi; Jose Caballero; Ferenc Huszar; Johannes Totz; Andrew P. Aitken; Rob Bishop; Daniel Rueckert; Zehan Wang (CVPR, 2016)

Priori-driven dimensions of face-space: experiments incorporating eye-tracking information. - Carlos E. Thomaz; Vagner do Amaral; Duncan Fyfe Gillies; Daniel Rueckert (ETRA, 2016)

Construction of a neonatal cortical surface atlas using multimodal surface matching. - Jelena Bozek; Sean P. Fitzgibbon; Robert Wright; Daniel Rueckert; Mark Jenkinson; Emma C. Robinson (ISBI, 2016)

Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint. - Maria Murgasova; Georgia Lockwood Estrin; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (ISBI, 2016)

A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path. - Dengqiang Jia; Wenzhe Shi; Daniel Rueckert; Liu Liu; Sébastien Ourselin; Xiahai Zhuang (MIAR, 2016)

Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis. - Eric Kerfoot; Lauren Fovargue; Simone Rivolo; Wenzhe Shi; Daniel Rueckert; David Nordsletten; Jack Lee; Radomír Chabiniok; Reza Razavi (MIAR, 2016)

Cascade Registration of Micro CT Volumes Taken in Multiple Resolutions. - Kai Nagara; Hirohisa Oda; Shota Nakamura; Masahiro Oda 001; Hirotoshi Honma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Daniel Rueckert; Kensaku Mori (MIAR, 2016)

Modeling the brain morphology distribution in the general aging population. - Wyke Huizinga; Dirk H. J. Poot; Gennady V. Roshchupkin; Esther E. Bron; Mohammad Arfan Ikram; Meike W. Vernooij; Daniel Rueckert; Wiro J. Niessen; Stefan Klein 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. - Amir Alansary; Konstantinos Kamnitsas; Alice Davidson; Rostislav Khlebnikov; Martin Rajchl; Christina Malamateniou; Mary A. Rutherford; Joseph V. Hajnal; Ben Glocker; Daniel Rueckert; Bernhard Kainz (MICCAI (2), 2016)

Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation. - Salim Arslan; Sarah Parisot; Daniel Rueckert (MICCAI (1), 2016)

Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Sandra Smith; Bernhard Kainz; Daniel Rueckert (MICCAI (2), 2016)

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. - Christopher Bowles; Chen Qin; Christian Ledig; Ricardo Guerrero; Roger N. Gunn; Alexander Hammers; Eleni Sakka; David Alexander Dickie; Maria del C. Valdés Hernández; Natalie A. Royle; Joanna M. Wardlaw; Hanneke Rhodius-Meester; et al. (SASHIMI@MICCAI, 2016)

Correction of Fat-Water Swaps in Dixon MRI. - Ben Glocker; Ender Konukoglu; Ioannis Lavdas; Juan Eugenio Iglesias; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert (MICCAI (3), 2016)

DeepMedic for Brain Tumor Segmentation. - Konstantinos Kamnitsas; Enzo Ferrante; Sarah Parisot; Christian Ledig; Aditya V. Nori; Antonio Criminisi; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 2016)

Differential Dementia Diagnosis on Incomplete Data with Latent Trees. - Christian Ledig; Sebastian Kaltwang; Antti Tolonen; Juha Koikkalainen; Philip Scheltens; Frederik Barkhof; Hanneke Rhodius-Meester; Betty M. Tijms; Afina W. Lemstra; Wiesje M. van der Flier; Jyrki Lötjönen; Daniel Rueckert (MICCAI (2), 2016)

Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation. - Masahiro Oda 001; Natsuki Shimizu; Kenichi Karasawa; Yukitaka Nimura; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert; Kensaku Mori (MICCAI (2), 2016)

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. - Ozan Oktay; Wenjia Bai; Matthew C. H. Lee; Ricardo Guerrero; Konstantinos Kamnitsas; Jose Caballero; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (MICCAI (3), 2016)

GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves. - Sarah Parisot; Ben Glocker; Markus Schirmer; Daniel Rueckert (MICCAI (1), 2016)

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. - Chen Qin; Ricardo Guerrero Moreno; Christopher Bowles; Christian Ledig; Philip Scheltens; Frederik Barkhof; Hanneke Rhodius-Meester; Betty M. Tijms; Afina W. Lemstra; Wiesje M. van der Flier; Ben Glocker; Daniel Rueckert (MLMI@MICCAI, 2016)

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. - Matthew Sinclair; Devis Peressutti; Esther Puyol-Antón; Wenjia Bai; David Nordsletten; Myrianthi Hadjicharalambous; Eric Kerfoot; Tom Jackson; Simon Claridge; C. Aldo Rinaldi; Daniel Rueckert; Andrew P. King (STACOM@MICCAI, 2016)

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network. - Archontis Giannakidis; Konstantinos Kamnitsas; Veronica Spadotto; Jennifer Keegan; Gillian Smith 002; Ben Glocker; Daniel Rueckert; Sabine Ernst; Michael A. Gatzoulis; Dudley J. Pennell; Sonya Babu-Narayan; David N. Firmin (SITIS, 2016)

High-Performance Motion Correction of Fetal MRI. - Bernhard Kainz; David F. A. Lloyd; Amir Alansary; Maria Kuklisova-Murgasova; Rostislav Khlebnikov; Daniel Rueckert; Mary A. Rutherford; Reza Razavi; Joseph V. Hajnal (EuroRV³@EuroVis, 2016)

Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Comparison of Brain Networks with Unknown Correspondences. - Sofia Ira Ktena; Sarah Parisot; Jonathan Passerat-Palmbach; Daniel Rueckert (CoRR, 2016)

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

Learning under Distributed Weak Supervision. - Martin Rajchl; Matthew C. H. Lee; Franklin Schrans; Alice Davidson; Jonathan Passerat-Palmbach; Giacomo Tarroni; Amir Alansary; Ozan Oktay; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

A robust similarity measure for volumetric image registration with outliers. - Patrick Snape; Stefan Pszczólkowski; Stefanos Zafeiriou; Georgios Tzimiropoulos; Christian Ledig; Daniel Rueckert (Image Vis. Comput., 2016)

A Weighted Mirror Descent Algorithm for Nonsmooth Convex Optimization Problem. - Duy V. N. Luong; Panos Parpas; Daniel Rueckert; Berç Rustem (J. Optim. Theory Appl., 2016)

Learning clinically useful information from images: Past, present and future. - Daniel Rueckert; Ben Glocker; Bernhard Kainz (Medical Image Anal., 2016)

An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer TE without loss of temporal efficiency. - Giulio Ferrazzi; Rita Gouveia Nunes; Tomoki Arichi; Andreia S. Gaspar; Giovanni Barone; Alessandro Allievi; Serge Vasylechko; Maryam Abaei; Emer J. Hughes; Daniel Rueckert; Anthony N. Price; Joseph V. Hajnal (NeuroImage, 2016)

Instantiated mixed effects modeling of Alzheimer's disease markers. - Ricardo Guerrero; Alexander Schmidt-Richberg; Christian Ledig; Tong Tong 001; Robin Wolz; Daniel Rueckert (NeuroImage, 2016)

Regional growth and atlasing of the developing human brain. - Antonios Makropoulos; Paul Aljabar; Robert Wright; Britta Hüning; Nazakat Merchant; Tomoki Arichi; Nora Tusor; Joseph V. Hajnal; A. David Edwards; Serena J. Counsell; Daniel Rueckert (NeuroImage, 2016)

Group-wise parcellation of the cortex through multi-scale spectral clustering. - Sarah Parisot; Salim Arslan; Jonathan Passerat-Palmbach; William M. Wells III; Daniel Rueckert (NeuroImage, 2016)

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. - Zhoubing Xu; Christopher P. Lee 002; Mattias P. Heinrich; Marc Modat; Daniel Rueckert; Sébastien Ourselin; Richard G. Abramson; Bennett A. Landman (IEEE Trans. Biomed. Eng., 2016)

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. - Olivier Bernard 001; Johan G. Bosch; Brecht Heyde; Martino Alessandrini; Daniel Barbosa 001; Sorina Camarasu-Pop; Frederic Cervenansky; Sébastien Valette; Oana Mirea; Michel Bernier; Pierre-Marc Jodoin; Jaime Santo Domingos; et al. (IEEE Trans. Medical Imaging, 2016)

Accessible GLSL Shader Programming. - Antoine Toisoul; Daniel Rueckert; Bernhard Kainz (Eurographics (Education Papers), 2017)

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (FIMH, 2017)

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. - Konstantinos Kamnitsas; Christian F. Baumgartner; Christian Ledig; Virginia F. J. Newcombe; Joanna P. Simpson; Andrew D. Kane; David K. Menon; Aditya V. Nori; Antonio Criminisi; Daniel Rueckert; Ben Glocker (IPMI, 2017)

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. - Jo Schlemper; Jose Caballero; Joseph V. Hajnal; Anthony N. Price; Daniel Rueckert (IPMI, 2017)

Exploring heritability of functional brain networks with inexact graph matching. - Sofia Ira Ktena; Salim Arslan; Sarah Parisot; Daniel Rueckert (ISBI, 2017)

A deformable model for the reconstruction of the neonatal cortex. - Andreas Schuh; Antonios Makropoulos; Robert Wright; Emma C. Robinson; Nora Tusor; Johannes K. Steinweg; Emer J. Hughes; Lucilio Cordero-Grande; Anthony N. Price; Jana Hutter; Joseph V. Hajnal; Daniel Rueckert (ISBI, 2017)

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. - Wenjia Bai; Ozan Oktay; Matthew Sinclair; Hideaki Suzuki; Martin Rajchl; Giacomo Tarroni; Ben Glocker; Andrew P. King; Paul M. Matthews; Daniel Rueckert (MICCAI (2), 2017)

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest. - Juan J. Cerrolaza; Ozan Oktay; Alberto Gómez 002; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (FIFI/OMIA@MICCAI, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (2), 2017)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven McDonagh 001; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (BrainLes@MICCAI, 2017)

Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation. - Fahdi Kanavati; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori; Daniel Rueckert; Ben Glocker (MLMI@MICCAI, 2017)

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. - Sofia Ira Ktena; Sarah Parisot; Enzo Ferrante; Martin Rajchl; Matthew C. H. Lee; Ben Glocker; Daniel Rueckert (MICCAI (1), 2017)

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. - Masahiro Oda 001; Natsuki Shimizu; Holger R. Roth; Kenichi Karasawa; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert; Kensaku Mori (DLMIA/ML-CDS@MICCAI, 2017)

Spectral Graph Convolutions for Population-Based Disease Prediction. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero Moreno; Ben Glocker; Daniel Rueckert (MICCAI (3), 2017)

Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. - Robert Robinson; Vanya V. Valindria; Wenjia Bai; Hideaki Suzuki; Paul M. Matthews; Chris Page; Daniel Rueckert; Ben Glocker (MICCAI (1), 2017)

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. - Matthew Sinclair; Wenjia Bai; Esther Puyol-Antón; Ozan Oktay; Daniel Rueckert; Andrew P. King (MICCAI (2), 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. - Benjamin Hou; Amir Alansary; Steven G. McDonagh 001; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Ricardo Guerrero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; et al. (CoRR, 2017)

Employing Weak Annotations for Medical Image Analysis Problems. - Martin Rajchl; Lisa M. Koch; Christian Ledig; Jonathan Passerat-Palmbach; Kazunari Misawa; Kensaku Mori; Daniel Rueckert (CoRR, 2017)

Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements. - Carlos E. Thomaz; Vagner do Amaral; Gilson A. Giraldi; Duncan Fyfe Gillies; Daniel Rueckert (CoRR, 2017)

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven G. McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2017)

Human-level CMR image analysis with deep fully convolutional networks. - Wenjia Bai; Matthew Sinclair; Giacomo Tarroni; Ozan Oktay; Martin Rajchl; Ghislain Vaillant; Aaron M. Lee; Nay Aung; Elena Lukaschuk; Mihir M. Sanghvi; Filip Zemrak; Kenneth Fung; et al. (CoRR, 2017)

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. - Nick Pawlowski; Sofia Ira Ktena; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker; Martin Rajchl (CoRR, 2017)

Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System. - Jonathan Passerat-Palmbach; Romain Reuillon; Mathieu Leclaire; Antonios Makropoulos; Emma C. Robinson; Sarah Parisot; Daniel Rueckert (Frontiers Neuroinformatics, 2017)

Autoadaptive motion modelling for MR-based respiratory motion estimation. - Christian F. Baumgartner; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2017)

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. - Konstantinos Kamnitsas; Christian Ledig; Virginia F. J. Newcombe; Joanna P. Simpson; Andrew D. Kane; David K. Menon; Daniel Rueckert; Ben Glocker (Medical Image Anal., 2017)

Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. - Kenichi Karasawa; Masahiro Oda 001; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Chengwen Chu; Guoyan Zheng; Daniel Rueckert; Kensaku Mori (Medical Image Anal., 2017)

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. - Devis Peressutti; Matthew Sinclair; Wenjia Bai; Thomas Jackson; Jacobus Ruijsink; David Nordsletten; Liya Asner; Myrianthi Hadjicharalambous; Christopher Aldo Rinaldi; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2017)

Learning and combining image neighborhoods using random forests for neonatal brain disease classification. - Veronika A. M. Zimmer; Ben Glocker; Nadine Hahner; Elisenda Eixarch; Gerard Sanromá; Eduard Gratacós; Daniel Rueckert; Miguel Ángel González Ballester; Gemma Piella (Medical Image Anal., 2017)

A flexible graphical model for multi-modal parcellation of the cortex. - Sarah Parisot; Ben Glocker; Sofia Ira Ktena; Salim Arslan; Markus D. Schirmer; Daniel Rueckert (NeuroImage, 2017)

Group-constrained manifold learning: Application to AD risk assessment. - Ricardo Guerrero; Christian Ledig; Alexander Schmidt-Richberg; Daniel Rueckert (Pattern Recognit., 2017)

Supervoxel classification forests for estimating pairwise image correspondences. - Fahdi Kanavati; Tong Tong 001; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori; Daniel Rueckert; Ben Glocker (Pattern Recognit., 2017)

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion. - Tong Tong 001; Katherine R. Gray; Qinquan Gao; Liang Chen 018; Daniel Rueckert (Pattern Recognit., 2017)

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. - Tong Tong 001; Qinquan Gao; Ricardo Guerrero; Christian Ledig; Liang Chen 018; Daniel Rueckert (IEEE Trans. Biomed. Eng., 2017)

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. - Amir Alansary; Martin Rajchl; Steven G. McDonagh 001; Maria Murgasova; Mellisa Damodaram; David F. A. Lloyd; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2017)

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. - Ozan Oktay; Wenjia Bai; Ricardo Guerrero; Martin Rajchl; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Mattias P. Heinrich; Ben Glocker; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Mellisa Damodaram; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. - Vanya V. Valindria; Ioannis Lavdas; Wenjia Bai; Konstantinos Kamnitsas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (IEEE Trans. Medical Imaging, 2017)

Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition. - Christian F. Baumgartner; Ozan Oktay; Daniel Rueckert (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry. - Gabriel Balaban; Caroline Mendonça Costa; Brian Halliday; Bradley Porter; Wenjia Bai; Gernot Plank; Christopher A. Rinaldi; Daniel Rueckert; Sanjay K. Prasad; Martin J. Bishop 001 (CinC, 2018)

Fetal Skull Reconstruction via Deep Convolutional Autoencoders. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Jacqueline Matthew; Matthew Sinclair; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (EMBC, 2018)

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. - Matthew Sinclair; Christian F. Baumgartner; Jacqueline Matthew; Wenjia Bai; Juan Cerrolaza Martinez; Yuanwei Li; Sandra Smith; Caroline L. Knight; Bernhard Kainz; Joseph V. Hajnal; Andrew P. King; Daniel Rueckert (EMBC, 2018)

Semi-Supervised Learning via Compact Latent Space Clustering. - Konstantinos Kamnitsas; Daniel Coelho de Castro; Loïc Le Folgoc; Ian Walker; Ryutaro Tanno; Daniel Rueckert; Ben Glocker; Antonio Criminisi; Aditya V. Nori (ICML, 2018)

Deep learning with ultrasound physics for fetal skull segmentation. - Juan J. Cerrolaza; Matthew Sinclair; Yuanwei Li; Alberto Gómez 002; Enzo Ferrante; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (ISBI, 2018)

Automatic left ventricular outflow tract classification for accurate cardiac MR planning. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Matthew Sinclair; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (ISBI, 2018)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven McDonagh 001; Ben Glocker; et al. (MICCAI (1), 2018)

Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. - Salim Arslan; Sofia Ira Ktena; Ben Glocker; Daniel Rueckert (GRAIL/Beyond-MIC@MICCAI, 2018)

Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. - Wenjia Bai; Hideaki Suzuki; Chen Qin; Giacomo Tarroni; Ozan Oktay; Paul M. Matthews; Daniel Rueckert (MICCAI (4), 2018)

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. - Carlo Biffi; Ozan Oktay; Giacomo Tarroni; Wenjia Bai; Antonio M. Simoes Monteiro de Marvao; Georgia Doumou; Martin Rajchl; Reem Bedair; Sanjay K. Prasad; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (MICCAI (2), 2018)

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez 002; Matthew Sinclair; Jacqueline Matthew; Caronline Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Multi-task Learning for Left Atrial Segmentation on GE-MRI. - Chen Chen 042; Wenjia Bai; Daniel Rueckert (STACOM@MICCAI, 2018)

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images. - Jinming Duan 001; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Ghalib Bello; Carlo Biffi; Georgia Doumou; Antonio M. Simoes Monteiro de Marvao; Declan P. O'Regan; Daniel Rueckert (ShapeMI@MICCAI, 2018)

Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension. - Jinming Duan 001; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Ghalib Bello; Georgia Doumou; Antonio M. Simoes Monteiro de Marvao; Declan P. O'Regan; Daniel Rueckert (MICCAI (4), 2018)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven McDonagh 001; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (MICCAI (1), 2018)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. - Bishesh Khanal; Alberto Gómez 002; Nicolas Toussaint; Steven McDonagh 001; Veronika A. M. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. - Yuanwei Li; Amir Alansary; Juan J. Cerrolaza; Bishesh Khanal; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. - Yuanwei Li; Bishesh Khanal; Benjamin Hou; Amir Alansary; Juan J. Cerrolaza; Matthew Sinclair; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (MICCAI (1), 2018)

Automatic Shadow Detection in 2D Ultrasound Images. - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez 002; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (DATRA/PIPPI@MICCAI, 2018)

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. - Ilkay Öksüz; James R. Clough; Aurélien Bustin; Gastão Cruz; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (MLMIR@MICCAI, 2018)

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (MICCAI (1), 2018)

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. - Chen Qin; Wenjia Bai; Jo Schlemper; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Daniel Rueckert (MICCAI (2), 2018)

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. - Chen Qin; Wenjia Bai; Jo Schlemper; Steffen E. Petersen; Stefan K. Piechnik; Stefan Neubauer; Daniel Rueckert (MLMIR@MICCAI, 2018)

Real-Time Prediction of Segmentation Quality. - Robert Robinson; Ozan Oktay; Wenjia Bai; Vanya V. Valindria; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M. Lee; Valentina Carapella; et al. (MICCAI (4), 2018)

Bayesian Deep Learning for Accelerated MR Image Reconstruction. - Jo Schlemper; Daniel Coelho de Castro; Wenjia Bai; Chen Qin; Ozan Oktay; Jinming Duan 001; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (MLMIR@MICCAI, 2018)

Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. - Jo Schlemper; Ozan Oktay; Wenjia Bai; Daniel Coelho de Castro; Jinming Duan 001; Chen Qin; Joseph V. Hajnal; Daniel Rueckert (MICCAI (1), 2018)

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. - Jo Schlemper; Guang Yang 006; Pedro F. Ferreira; Andrew D. Scott; Laura-Ann McGill; Zohya Khalique; Margarita Gorodezky; Malte Roehl; Jennifer Keegan; Dudley Pennell; David N. Firmin; Daniel Rueckert (MICCAI (1), 2018)

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. - Maximilian Seitzer; Guang Yang 006; Jo Schlemper; Ozan Oktay; Tobias Würfl; Vincent Christlein; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Daniel Rueckert; Andreas K. Maier (MICCAI (1), 2018)

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. - Giacomo Tarroni; Ozan Oktay; Matthew Sinclair; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (MICCAI (1), 2018)

Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. - Vanya V. Valindria; Ioannis Lavdas; Juan J. Cerrolaza; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (MLMI@MICCAI, 2018)

LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. - Robert Wright; Bishesh Khanal; Alberto Gómez 002; Emily Skelton; Jacqueline Matthew; Joseph V. Hajnal; Daniel Rueckert; Julia A. Schnabel (DATRA/PIPPI@MICCAI, 2018)

Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks. - Christopher Bowles; Roger N. Gunn; Alexander Hammers; Daniel Rueckert (Image Processing, 2018)

Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. - Vanya V. Valindria; Nick Pawlowski; Martin Rajchl; Ioannis Lavdas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (WACV, 2018)

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. - Carlo Biffi; Antonio de Marvao; Mark I Attard; Timothy J. W. Dawes; Nicola Whiffin; Wenjia Bai; Wenzhe Shi; Catherine Francis; Hannah Meyer; Rachel J. Buchan; Stuart A. Cook; Daniel Rueckert; et al. (Bioinform., 2018)

Learning-Based Quality Control for Cardiac MR Images. - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Paul M. Matthews; Daniel Rueckert (CoRR, 2018)

Attention U-Net: Learning Where to Look for the Pancreas. - Ozan Oktay; Jo Schlemper; Loïc Le Folgoc; Matthew C. H. Lee; Mattias P. Heinrich; Kazunari Misawa; Kensaku Mori; Steven G. McDonagh 001; Nils Y. Hammerla; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection. - Jo Schlemper; Ozan Oktay; Liang Chen 018; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. - Vanya V. Valindria; Ioannis Lavdas; Wenjia Bai; Konstantinos Kamnitsas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (CoRR, 2018)

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew Lee 010; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (CoRR, 2018)

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines. - Martin Rajchl; Nick Pawlowski; Daniel Rueckert; Paul M. Matthews; Ben Glocker (CoRR, 2018)

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach. - Jinming Duan 001; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumou; Declan P. O'Regan; Daniel Rueckert (CoRR, 2018)

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. - Christopher Bowles; Liang Chen 018; Ricardo Guerrero; Paul Bentley; Roger N. Gunn; Alexander Hammers; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (CoRR, 2018)

A generic framework for privacy preserving deep learning. - Théo Ryffel; Andrew Trask; Morten Dahl; Bobby Wagner; Jason Mancuso; Daniel Rueckert; Jonathan Passerat-Palmbach (CoRR, 2018)

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging. - Qingjie Meng; Matthew Sinclair; Veronika A. M. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Alberto Gómez 002; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 2018)

GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation. - Christopher Bowles; Roger N. Gunn; Alexander Hammers; Daniel Rueckert (CoRR, 2018)

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2018)

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. - Matthew Sinclair; Devis Peressutti; Esther Puyol-Antón; Wenjia Bai; Simone Rivolo; Jessica Webb; Simon Claridge; Thomas Jackson; David Nordsletten; Myrianthi Hadjicharalambous; Eric Kerfoot; Christopher Aldo Rinaldi; et al. (Medical Image Anal., 2018)

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex. - Salim Arslan; Sofia Ira Ktena; Antonios Makropoulos; Emma C. Robinson; Daniel Rueckert; Sarah Parisot (NeuroImage, 2018)

A spatio-temporal reference model of the aging brain. - Wyke Huizinga; Dirk H. J. Poot; Meike W. Vernooij; Gennady Roshchupkin; Esther Bron; Mohammad Arfan Ikram; Daniel Rueckert; Wiro J. Niessen; Stefan Klein 001 (NeuroImage, 2018)

Metric learning with spectral graph convolutions on brain connectivity networks. - Sofia Ira Ktena; Sarah Parisot; Enzo Ferrante; Martin Rajchl; Matthew C. H. Lee; Ben Glocker; Daniel Rueckert (NeuroImage, 2018)

A review on automatic fetal and neonatal brain MRI segmentation. - Antonios Makropoulos; Serena J. Counsell; Daniel Rueckert (NeuroImage, 2018)

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. - Antonios Makropoulos; Emma C. Robinson; Andreas Schuh; Robert Wright; Sean P. Fitzgibbon; Jelena Bozek; Serena J. Counsell; Johannes K. Steinweg; Katy Vecchiato; Jonathan Passerat-Palmbach; Gregor Lenz; Filippo Mortari; et al. (NeuroImage, 2018)

Multimodal surface matching with higher-order smoothness constraints. - Emma C. Robinson; Kara Garcia; Matthew F. Glasser; Zhengdao Chen; Timothy S. Coalson; Antonios Makropoulos; Jelena Bozek; Robert Wright; Andreas Schuh; Matthew A. Webster; Jana Hutter; Anthony Price; et al. (NeuroImage, 2018)

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. - Lisa M. Koch; Martin Rajchl; Wenjia Bai; Christian F. Baumgartner; Tong Tong 001; Jonathan Passerat-Palmbach; Paul Aljabar; Daniel Rueckert (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

A large margin algorithm for automated segmentation of white matter hyperintensity. - Chen Qin; Ricardo Guerrero; Christopher Bowles; Liang Chen 018; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (Pattern Recognit., 2018)

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. - Avan Suinesiaputra; Pierre Ablin; Xènia Albà; Martino Alessandrini; Jack Allen; Wenjia Bai; Serkan Çimen; Peter Claes; Brett R. Cowan; Jan D'hooge; Nicolas Duchateau; Jan Ehrhardt; et al. (IEEE J. Biomed. Health Informatics, 2018)

DRINet for Medical Image Segmentation. - Liang Chen 018; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (IEEE Trans. Medical Imaging, 2018)

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven McDonagh 001; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (IEEE Trans. Medical Imaging, 2018)

Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint. - Maria Kuklisova-Murgasova; Georgia Lockwood Estrin; Rita Gouveia Nunes; Shaihan J. Malik; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (IEEE Trans. Medical Imaging, 2018)

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; Ben Glocker; et al. (IEEE Trans. Medical Imaging, 2018)

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. - Jo Schlemper; Jose Caballero; Joseph V. Hajnal; Anthony N. Price; Daniel Rueckert (IEEE Trans. Medical Imaging, 2018)

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. - Miguel Monteiro; Konstantinos Kamnitsas; Enzo Ferrante; Francois Mathieu; Steven McDonagh 001; Sam Cook; Susan Stevenson; Tilak Das; Aneesh Khetani; Tom Newman; Fred Zeiler; Richard Digby; et al. (BrainLes@MICCAI (1), 2019)

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. - Chen Qin; Bibo Shi; Rui Liao; Tommaso Mansi; Daniel Rueckert; Ali Kamen (IPMI, 2019)

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (ISBI, 2019)

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. - Jinming Duan 001; Jo Schlemper; Chen Qin; Cheng Ouyang; Wenjia Bai; Carlo Biffi; Ghalib Bello; Ben Statton; Declan P. O'Regan; Daniel Rueckert (MICCAI (4), 2019)

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. - Chen Chen 042; Carlo Biffi; Giacomo Tarroni; Steffen E. Petersen; Wenjia Bai; Daniel Rueckert (MICCAI (2), 2019)

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. - Chen Chen 042; Cheng Ouyang; Giacomo Tarroni; Jo Schlemper; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (STACOM@MICCAI, 2019)

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. - Wenjia Bai; Chen Chen 042; Giacomo Tarroni; Jinming Duan 001; Florian Guitton; Steffen E. Petersen; Yike Guo; Paul M. Matthews; Daniel Rueckert (MICCAI (2), 2019)

Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning. - Liang Chen 018; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (SASHIMI@MICCAI, 2019)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (MLMIR@MICCAI, 2019)

Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. - Qingjie Meng; Nick Pawlowski; Daniel Rueckert; Bernhard Kainz (SUSI/PIPPI@MICCAI, 2019)

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (MICCAI (4), 2019)

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. - Cheng Ouyang; Konstantinos Kamnitsas; Carlo Biffi; Jinming Duan 001; Daniel Rueckert (MICCAI (2), 2019)

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. - Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Ilkay Öksüz; Daniel Rueckert; Reza Razavi; Andrew P. King (STACOM@MICCAI, 2019)

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. - Chen Qin; Jo Schlemper; Jinming Duan 001; Gavin Seegoolam; Anthony Price; Joseph V. Hajnal; Daniel Rueckert (MICCAI (2), 2019)

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. - Huaqi Qiu; Chen Qin; Loïc Le Folgoc; Benjamin Hou; Jo Schlemper; Daniel Rueckert (STACOM@MICCAI, 2019)

Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. - Jo Schlemper; Seyed Sadegh Mohseni Salehi; Prantik Kundu; Carole Lazarus; Hadrien Dyvorne; Daniel Rueckert; Michal Sofka (MICCAI (3), 2019)

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. - Gavin Seegoolam; Jo Schlemper; Chen Qin; Anthony Price; Joseph V. Hajnal; Daniel Rueckert (MICCAI (4), 2019)

Multiple Landmark Detection Using Multi-agent Reinforcement Learning. - Athanasios Vlontzos; Amir Alansary; Konstantinos Kamnitsas; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2019)

Complete Fetal Head Compounding from Multi-view 3D Ultrasound. - Robert Wright; Nicolas Toussaint; Alberto Gómez 002; Veronika A. M. Zimmer; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (MICCAI (3), 2019)

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. - Ognjen (Oggi) Rudovic; Yuria Utsumi; Ricardo Guerrero; Kelly Peterson; Daniel Rueckert; Rosalind W. Picard (MLHC, 2019)

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. - Robert Robinson; Vanya V. Valindria; Wenjia Bai; Ozan Oktay; Bernhard Kainz; Hideaki Suzuki; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; et al. (CoRR, 2019)

Generalising Deep Learning MRI Reconstruction across Different Domains. - Cheng Ouyang; Jo Schlemper; Carlo Biffi; Gavin Seegoolam; Jose Caballero; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (CoRR, 2019)

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Ozan Oktay; Loïc Le Folgoc; Konstantinos Kamnitsas; Antonio de Marvao; Georgia Doumou; Jinming Duan 001; Sanjay K. Prasad; Stuart A. Cook; et al. (CoRR, 2019)

Improving the generalizability of convolutional neural network-based segmentation on CMR images. - Chen Chen 042; Wenjia Bai; Rhodri H. Davies; Anish N. Bhuva; Charlotte Manisty; James C. Moon; Nay Aung; Aaron M. Lee; Mihir M. Sanghvi; Kenneth Fung; José Miguel Paiva; Steffen E. Petersen; et al. (CoRR, 2019)

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. - Jo Schlemper; Ilkay Öksüz; James R. Clough; Jinming Duan 001; Andrew P. King; Julia A. Schnabel; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. - Jo Schlemper; Jinming Duan 001; Cheng Ouyang; Chen Qin; Jose Caballero; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network. - Shihao Jin; Nicoló Savioli; Antonio de Marvao; Timothy J. W. Dawes; Axel Gandy; Daniel Rueckert; Declan P. O'Regan (CoRR, 2019)

Deep learning for cardiac image segmentation: A review. - Chen Chen 042; Chen Qin; Huaqi Qiu; Giacomo Tarroni; Jinming Duan 001; Wenjia Bai; Daniel Rueckert (CoRR, 2019)

Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. - Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Ronald M. Summers; Daniel Rueckert (CoRR, 2019)

Age-related craniofacial differences based on spatio-temporal face image atlases. - Igor R. R. Xavier; Gilson A. Giraldi; Stuart James Gibson; Gilka J. F. Gattas; Daniel Rueckert; Carlos E. Thomaz (IET Image Process., 2019)

Evaluating reinforcement learning agents for anatomical landmark detection. - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

Computational anatomy for multi-organ analysis in medical imaging: A review. - Juan J. Cerrolaza; Mirella López Picazo; Ludovic Humbert; Yoshinobu Sato; Daniel Rueckert; Miguel Ángel González Ballester; Marius George Linguraru (Medical Image Anal., 2019)

Self-supervised learning for medical image analysis using image context restoration. - Liang Chen 018; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (Medical Image Anal., 2019)

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; James R. Clough; Gastão Cruz; Aurélien Bustin; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Medical Image Anal., 2019)

Attention gated networks: Learning to leverage salient regions in medical images. - Jo Schlemper; Ozan Oktay; Michiel Schaap; Mattias P. Heinrich; Bernhard Kainz; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2019)

Deep-learning cardiac motion analysis for human survival prediction. - Ghalib A. Bello; Timothy J. W. Dawes; Jinming Duan 001; Carlo Biffi; Antonio de Marvao; Luke S. G. E. Howard; J. Simon R. Gibbs; Martin R. Wilkins; Stuart A. Cook; Daniel Rueckert; Declan P. O'Regan (Nat. Mach. Intell., 2019)

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. - Matteo Bastiani; Jesper L. R. Andersson; Lucilio Cordero-Grande; Maria Murgasova; Jana Hutter; Anthony N. Price; Antonios Makropoulos; Sean P. Fitzgibbon; Emer J. Hughes; Daniel Rueckert; Suresh Victor; Mary A. Rutherford; et al. (NeuroImage, 2019)

Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. - Gabriel Balaban; Brian Halliday; Wenjia Bai; Bradley Porter; Carlotta Malvuccio; Pablo Lamata; Christopher A. Rinaldi; Gernot Plank; Daniel Rueckert; Sanjay K. Prasad; Martin J. Bishop 001 (PLoS Comput. Biol., 2019)

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach. - Jinming Duan 001; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumou; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. - Qingjie Meng; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz; Matthew Sinclair; Veronika A. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Ozan Oktay; et al. (IEEE Trans. Medical Imaging, 2019)

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. - Chen Qin; Jo Schlemper; Jose Caballero; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Learning-Based Quality Control for Cardiac MR Images. - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Ben Glocker; Paul M. Matthews; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. - Thomas Küstner; Jiazhen Pan; Christopher Gilliam; Haikun Qi; Gastão Cruz; Kerstin Hammernik; Bin Yang 009; Thierry Blu; Daniel Rueckert; René M. Botnar; Claudia Prieto; Sergios Gatidis (APSIPA, 2020)

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. - Veneta Haralampieva; Daniel Rueckert; Jonathan Passerat-Palmbach (PPMLP@CCS, 2020)

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (ECCV (29), 2020)

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography. - Osama N. Hassan; Serhat Sahin; Vahid Mohammadzadeh; Xiaohe Yang; Navid Amini; Apoorva Mylavarapu; Jack Martinyan; Tae Hong; Golnoush Mahmoudinezhad; Daniel Rueckert; Kouros Nouri-Mahdavi; Fabien Scalzo (ISVC (2), 2020)

Patch-Based Brain Age Estimation from MR Images. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Arinbjörn Kolbeinsson; Alexander Hammers; Daniel Rueckert (MLCN/RNO-AI@MICCAI, 2020)

Realistic Adversarial Data Augmentation for MR Image Segmentation. - Chen Chen 042; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang 011; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (MICCAI (1), 2020)

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation. - Aydan Gasimova; Gavin Seegoolam; Liang Chen 018; Paul Bentley; Daniel Rueckert (MICCAI (7), 2020)

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images. - Guy Leroy; Daniel Rueckert; Amir Alansary (MLCN/RNO-AI@MICCAI, 2020)

Ultrasound Video Summarization Using Deep Reinforcement Learning. - Tianrui Liu; Qingjie Meng; Athanasios Vlontzos; Jeremy Tan; Daniel Rueckert; Bernhard Kainz (MICCAI (3), 2020)

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. - Ping Lu 003; Wenjia Bai; Daniel Rueckert; J. Alison Noble (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 2020)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. - Esther Puyol-Antón; Chen Chen 042; James R. Clough; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Daniel Rueckert; Christopher A. Rinaldi; Andrew P. King (MICCAI (1), 2020)

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. - Chen Qin; Shuo Wang 011; Chen Chen 042; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2020)

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. - Robert Robinson; Qi Dou 001; Daniel Coelho de Castro; Konstantinos Kamnitsas; Marius de Groot; Ronald M. Summers; Daniel Rueckert; Ben Glocker (MICCAI (7), 2020)

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. - Jeremy Tan; Anselm Au; Qingjie Meng; Sandy FinesilverSmith; John M. Simpson; Daniel Rueckert; Reza Razavi; Thomas G. Day; David Lloyd 003; Bernhard Kainz (ASMUS/PIPPI@MICCAI, 2020)

3D Probabilistic Segmentation and Volumetry from 2D Projection Images. - Athanasios Vlontzos; Samuel Budd; Benjamin Hou; Daniel Rueckert; Bernhard Kainz (TIA@MICCAI, 2020)

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface. - Vitalis Vosylius; Andy Wang; Cemlyn Waters; Alexey Zakharov; Francis Ward; Loïc Le Folgoc; John Cupitt; Antonios Makropoulos; Andreas Schuh; Daniel Rueckert; Amir Alansary (UNSURE/GRAIL@MICCAI, 2020)

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. - Shuo Wang 011; Giacomo Tarroni; Chen Qin; Yuanhan Mo; Chengliang Dai; Chen Chen 042; Ben Glocker; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (4), 2020)

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. - Ahmed E. Fetit; Amir Alansary; Lucilio Cordero-Grande; John Cupitt; Alice B. Davidson; A. David Edwards; Joseph V. Hajnal; Emer J. Hughes; Konstantinos Kamnitsas; Vanessa Kyriakopoulou; Antonios Makropoulos; Prachi A. Patkee; et al. (MIDL, 2020)

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain. - Ahmed E. Fetit; John Cupitt; Turkay Kart; Daniel Rueckert (MIDL, 2020)

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. - Ping Lu 003; Huaqi Qiu; Chen Qin; Wenjia Bai; Daniel Rueckert; J. Alison Noble (MIUA, 2020)

Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations. - Jack Weatheritt; Daniel Rueckert; Robin Wolz (MIUA, 2020)

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Hongwei Li 004; Ricardo Guerrero; Rozanna Meijboom; Stewart Wiseman; Adam Waldman; Jianguo Zhang 001; Daniel Rueckert; Joanna M. Wardlaw; Taku Komura (Comput. Medical Imaging Graph., 2020)

Learning Cross-domain Generalizable Features by Representation Disentanglement. - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. - Chen Qin; Jo Schlemper; Kerstin Hammernik; Jinming Duan 001; Ronald M. Summers; Daniel Rueckert (CoRR, 2020)

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (CoRR, 2020)

Causal Future Prediction in a Minkowski Space-Time. - Athanasios Vlontzos; Henrique Bergallo Rocha; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

Efficient, high-performance pancreatic segmentation using multi-scale feature extraction. - Moritz Knolle; Georgios Kaissis; Friederike Jungmann; Sebastian Ziegelmayer; Daniel Sasse; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren (CoRR, 2020)

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. - Matei Grama; Maria Musat; Luis Muñoz-González; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2020)

2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments. - Harry Cai; Daniel Rueckert; Jonathan Passerat-Palmbach (CoRR, 2020)

Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs. - Seoin Chai; Daniel Rueckert; Ahmed E. Fetit (CoRR, 2020)

Privacy-preserving medical image analysis. - Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Da Lima Costa Junior; Jason Mancuso; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (CoRR, 2020)

Secure, privacy-preserving and federated machine learning in medical imaging. - Georgios Kaissis; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren (Nat. Mach. Intell., 2020)

Model-Based and Data-Driven Strategies in Medical Image Computing. - Daniel Rueckert; Julia A. Schnabel (Proc. IEEE, 2020)

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Antonio de Marvao; Ozan Oktay; Christian Ledig; Loïc Le Folgoc; Konstantinos Kamnitsas; Georgia Doumou; Jinming Duan 001; Sanjay K. Prasad; et al. (IEEE Trans. Medical Imaging, 2020)

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction. - Kerstin Hammernik; Jiazhen Pan; Daniel Rueckert; Thomas Küstner (ACSCC, 2021)

Bias Field Robustness Verification of Large Neural Image Classifiers. - Patrick Henriksen; Kerstin Hammernik; Daniel Rueckert; Alessio Lomuscio (BMVC, 2021)

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. - Felix Meissen; Georgios Kaissis; Daniel Rueckert (BrainLes@MICCAI (1), 2021)

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. - Ping Lu 003; Wenjia Bai; Daniel Rueckert; J. Alison Noble (FIMH, 2021)

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. - Ping Lu 003; Wenjia Bai; Daniel Rueckert; J. Alison Noble (ISBI, 2021)

Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. - Osama N. Hassan; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Andrew J. Lotery; Daniel Rueckert (ISBI, 2021)

Voxel-Level Importance Maps for Interpretable Brain Age Estimation. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. - Samuel Budd; Matthew Sinclair; Thomas G. Day; Athanasios Vlontzos; Jeremy Tan; Tianrui Liu 001; Jacqueline Matthew; Emily Skelton; John M. Simpson; Reza Razavi; Ben Glocker; Daniel Rueckert; et al. (MICCAI (7), 2021)

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. - Chen Chen 042; Kerstin Hammernik; Cheng Ouyang; Chen Qin; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2021)

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity. - Simon Dahan; Logan Z. J. Williams; Daniel Rueckert; Emma C. Robinson (MLCN@MICCAI, 2021)

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. - Alina Dima; Johannes C. Paetzold; Friederike Jungmann; Tristan Lemke; Philipp Raffler; Georgios Kaissis; Daniel Rueckert; Rickmer Braren (MLMI@MICCAI, 2021)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (MLMIR@MICCAI, 2021)

Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. - Konstantinos Kamnitsas; Stefan Winzeck; Evgenios N. Kornaropoulos; Daniel Whitehouse; Cameron Englman; Poe Phyu; Norman Pao; David K. Menon; Daniel Rueckert; Tilak Das; Virginia F. J. Newcombe; Ben Glocker (DART/FAIR@MICCAI, 2021)

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. - Turkay Kart; Wenjia Bai; Ben Glocker; Daniel Rueckert (DGM4MICCAI/DALI@MICCAI, 2021)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (UNSURE/PIPPI@MICCAI, 2021)

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. - Qiang Ma 004; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (MLCN@MICCAI, 2021)

AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. - Felix Meissen; Georgios Kaissis; Daniel Rueckert (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation. - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (MLMIR@MICCAI, 2021)

Detecting Outliers with Poisson Image Interpolation. - Jeremy Tan; Benjamin Hou; Thomas G. Day; John M. Simpson; Daniel Rueckert; Bernhard Kainz (MICCAI (5), 2021)

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. - Shuo Wang 011; Chen Qin; Nicoló Savioli; Chen Chen 042; Declan P. O'Regan; Stuart A. Cook; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (3), 2021)

Learning Diffeomorphic and Modality-invariant Registration using B-splines. - Huaqi Qiu; Chen Qin; Andreas Schuh; Kerstin Hammernik; Daniel Rueckert (MIDL, 2021)

Reducing Textural Bias Improves Robustness of Deep Segmentation Models. - Seoin Chai; Daniel Rueckert; Ahmed E. Fetit (MIUA, 2021)

Personalized Federated Deep Learning for Pain Estimation From Face Images. - Ognjen Rudovic; Nicolas Tobis; Sebastian Kaltwang; Björn W. Schuller; Daniel Rueckert; Jeffrey F. Cohn; Rosalind W. Picard (CoRR, 2021)

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Shadi Albarqouni (CoRR, 2021)

HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning. - Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Julian O. Matschinske; Jan Baumbach; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Automated Knee X-ray Report Generation. - Aydan Gasimova; Giovanni Montana; Daniel Rueckert (CoRR, 2021)

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. - Tianrui Liu; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2021)

Differentially private federated deep learning for multi-site medical image segmentation. - Alexander Ziller; Dmitrii Usynin; Nicolas Remerscheid; Moritz Knolle; Marcus R. Makowski; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation. - Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Kritika Prakash; Andrew Trask; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty. - Moritz Knolle; Alexander Ziller; Dmitrii Usynin; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation. - Nicoló Savioli; Antonio de Marvao; Wenjia Bai; Shuo Wang 011; Stuart A. Cook; Calvin W. L. Chin; Daniel Rueckert; Declan P. O'Regan (CoRR, 2021)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

An automatic differentiation system for the age of differential privacy. - Dmitrii Usynin; Alexander Ziller; Moritz Knolle; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Partial sensitivity analysis in differential privacy. - Tamara T. Mueller; Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Friederike Jungmann; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

Complex-valued deep learning with differential privacy. - Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Kerstin Hammernik; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

FedRAD: Federated Robust Adaptive Distillation. - Stefán Páll Sturluson; Samuel Trew; Luis Muñoz-González; Matei Grama; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2021)

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Daniel Rueckert (CoRR, 2021)

Distributed Machine Learning and the Semblance of Trust. - Dmitrii Usynin; Alexander Ziller; Daniel Rueckert; Jonathan Passerat-Palmbach; Georgios Kaissis (CoRR, 2021)

AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. - Yutong Chen; Carola-Bibiane Schönlieb; Pietro Liò; Tim Leiner; Pier Luigi Dragotti; Gerald Wang; Daniel Rueckert; David N. Firmin; Guang Yang 006 (CoRR, 2021)

End-to-end privacy preserving deep learning on multi-institutional medical imaging. - Georgios Kaissis; Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Lima; Jason Mancuso; Friederike Jungmann; Marc-Matthias Steinborn; Andreas Saleh; Marcus R. Makowski; et al. (Nat. Mach. Intell., 2021)

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning. - Dmitrii Usynin; Alexander Ziller; Marcus R. Makowski; Rickmer Braren; Daniel Rueckert; Ben Glocker; Georgios Kaissis; Jonathan Passerat-Palmbach (Nat. Mach. Intell., 2021)

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. - Ralica Dimitrova; Maximilian Pietsch; Judit Ciarrusta; Sean P. Fitzgibbon; Logan Z. J. Williams; Daan Christiaens; Lucilio Cordero-Grande; Dafnis Batalle; Antonios Makropoulos; Andreas Schuh; Anthony N. Price; Jana Hutter; et al. (NeuroImage, 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (Proc. IEEE, 2021)

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. - Qingjie Meng; Jacqueline Matthew; Veronika A. Zimmer; Alberto Gómez 002; David F. A. Lloyd; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2021)

Unsupervised Anomaly Localization with Structural Feature-Autoencoders. - Felix Meissen; Johannes C. Paetzold; Georgios Kaissis; Daniel Rueckert (BrainLes@MICCAI, 2022)

Joint Learning of Localized Representations from Medical Images and Reports. - Philip Müller; Georgios Kaissis; Congyu Zou; Daniel Rueckert (ECCV (26), 2022)

Multi-Modal Unsupervised Brain Image Registration Using Edge Maps. - Vasiliki Sideri-Lampretsa; Georgios Kaissis; Daniel Rueckert (ISBI, 2022)

Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data. - Moritz Binzer; Kerstin Hammernik; Daniel Rueckert; Veronika A. Zimmer (PRIME@MICCAI, 2022)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. - Chen Chen 042; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (MICCAI (5), 2022)

Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. - Linus Kreitner; Ivan Ezhov; Daniel Rueckert; Johannes C. Paetzold; Martin J. Menten (MIDOG/DRAC@MICCAI, 2022)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. - Qingjie Meng; Wenjia Bai; Tianrui Liu; Declan P. O'Regan; Daniel Rueckert (MICCAI (6), 2022)

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs. - Martin J. Menten; Johannes C. Paetzold; Alina Dima; Bjoern H. Menze; Benjamin Knier; Daniel Rueckert (MICCAI (8), 2022)

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. - Philip Müller; Georgios Kaissis; Congyu Zou; Daniel Rueckert (MICCAI (5), 2022)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. - Cheng Ouyang; Shuo Wang 011; Chen Chen 042; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (UNSURE@MICCAI, 2022)

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. - Jiazhen Pan; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (MICCAI (6), 2022)

Embedding Gradient-Based Optimization in Image Registration Networks. - Huaqi Qiu; Kerstin Hammernik; Chen Qin; Chen Chen 042; Daniel Rueckert (MICCAI (6), 2022)

Can Collaborative Learning Be Private, Robust and Scalable? - Dmitrii Usynin; Helena Klause; Johannes C. Paetzold; Daniel Rueckert; Georgios Kaissis (DeCaF/FAIR@MICCAI, 2022)

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis. - Simon Dahan; Abdulah Fawaz; Logan Z. J. Williams; Chunhui Yang; Timothy S. Coalson; Matthew F. Glasser; A. David Edwards; Daniel Rueckert; Emma C. Robinson (MIDL, 2022)

On the Pitfalls of Using the Residual Error as Anomaly Score. - Felix Meissen; Benedikt Wiestler; Georgios Kaissis; Daniel Rueckert (MIDL, 2022)

Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction. - Michael Tänzer; Pedro F. Ferreira; Andrew D. Scott; Zohya Khalique; Maria Dwornik; Dudley Pennell; Guang Yang 006; Daniel Rueckert; Sonia Nielles-Vallespin (MIUA, 2022)

Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation. - Marica Muffoletto; Hao Xu; Hugo Barbaroux; Karl P. Kunze; Radhouène Neji; René M. Botnar; Claudia Prieto; Daniel Rueckert; Alistair A. Young (STACOM@MICCAI, 2022)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. - Mengyun Qiao; Berke Doga Basaran; Huaqi Qiu; Shuo Wang 011; Yi Guo 002; Yuanyuan Wang 001; Paul M. Matthews; Daniel Rueckert; Wenjia Bai (STACOM@MICCAI, 2022)

Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal. - Michael Tänzer; Sea Hee Yook; Pedro F. Ferreira; Guang Yang 006; Daniel Rueckert; Sonia Nielles-Vallespin (STACOM@MICCAI, 2022)

Differentially Private Graph Classification with GNNs. - Tamara T. Mueller; Johannes C. Paetzold; Chinmay Prabhakar; Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Differentially private training of residual networks with scale normalisation. - Helena Klause; Alexander Ziller; Daniel Rueckert; Kerstin Hammernik; Georgios Kaissis (CoRR, 2022)

SoK: Differential Privacy on Graph-Structured Data. - Tamara T. Mueller; Dmitrii Usynin; Johannes C. Paetzold; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (CoRR, 2022)

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. - Jiahao Huang; Yingying Fang; Yang Nan 002; Huanjun Wu; Yinzhe Wu 001; Zhifan Gao; Yang Li 010; Zidong Wang 001; Pietro Liò; Daniel Rueckert; Yonina C. Eldar; Guang Yang 006 (CoRR, 2022)

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces. - Simon Dahan; Hao Xu; Logan Z. J. Williams; Abdulah Fawaz; Chunhui Yang; Timothy S. Coalson; Michelle C. Williams; David E. Newby; A. David Edwards; Matthew F. Glasser; Alistair A. Young; Daniel Rueckert; et al. (CoRR, 2022)

Can collaborative learning be private, robust and scalable? - Dmitrii Usynin; Helena Klause; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

SmoothNets: Optimizing CNN architecture design for differentially private deep learning. - Nicolas W. Remerscheid; Alexander Ziller; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. - Tobias Bernecker; Annette Peters; Christopher L. Schlett; Fabian Bamberg; Fabian J. Theis; Daniel Rueckert; Jakob Weiß; Shadi Albarqouni (CoRR, 2022)

Surface Analysis with Vision Transformers. - Simon Dahan; Logan Z. J. Williams; Abdulah Fawaz; Daniel Rueckert; Emma C. Robinson (CoRR, 2022)

What do we learn? Debunking the Myth of Unsupervised Outlier Detection. - Cosmin I. Bercea; Daniel Rueckert; Julia A. Schnabel (CoRR, 2022)

A Review of Causality for Learning Algorithms in Medical Image Analysis. - Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (CoRR, 2022)

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. - Qingjie Meng; Chen Qin; Wenjia Bai; Tianrui Liu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert (CoRR, 2022)

Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis. - Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal. - Michael Tänzer; Sea Hee Yook; Guang Yang 006; Daniel Rueckert; Sonia Nielles-Vallespin (CoRR, 2022)

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance. - Chen Qin; Daniel Rueckert (CoRR, 2022)

Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens. - Georgios Kaissis; Alexander Ziller; Stefan Kolek Martinez de Azagra; Daniel Rueckert (CoRR, 2022)

The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images. - Philip Müller; Georgios Kaissis; Daniel Rueckert (CoRR, 2022)

How Do Input Attributes Impact the Privacy Loss in Differential Privacy? - Tamara T. Mueller; Stefan Kolek; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images. - Hongwei Bran Li; Chinmay Prabhakar; Suprosanna Shit; Johannes C. Paetzold; Tamaz Amiranashvili; Jianguo Zhang 001; Daniel Rueckert; Juan Eugenio Iglesias; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2022)

Privacy: An Axiomatic Approach. - Alexander Ziller; Tamara T. Mueller; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (Entropy, 2022)

Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index. - Georgios Kaissis; Moritz Knolle; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Daniel Rueckert (J. Priv. Confidentiality, 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Federated disentangled representation learning for unsupervised brain anomaly detection. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Shadi Albarqouni (Nat. Mach. Intell., 2022)

Predicting age and clinical risk from the neonatal connectome. - Yassine Taoudi-Benchekroun; Daan Christiaens; Irina Grigorescu; Oliver Gale-Grant; Andreas Schuh; Maximilian Pietsch; Andrew Chew; Nicholas Harper; Shona Falconer; Tanya Poppe; Emer J. Hughes; Jana Hutter; et al. (NeuroImage, 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. - Yutong Chen; Carola-Bibiane Schönlieb; Pietro Liò; Tim Leiner; Pier Luigi Dragotti; Ge Wang 001; Daniel Rueckert; David N. Firmin; Guang Yang 006 (Proc. IEEE, 2022)

Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning. - Dmitrii Usynin; Daniel Rueckert; Jonathan Passerat-Palmbach; Georgios Kaissis (Proc. Priv. Enhancing Technol., 2022)

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. - Tianrui Liu 001; Qingjie Meng; Junjie Huang 001; Athanasios Vlontzos; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Image Process., 2022)

Learning a Model-Driven Variational Network for Deformable Image Registration. - Xi Jia; Alexander Thorley; Wei Chen 092; Huaqi Qiu; Linlin Shen; Iain B. Styles; Hyung Jin Chang; Ales Leonardis; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Jinming Duan 001 (IEEE Trans. Medical Imaging, 2022)

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI. - Qingjie Meng; Chen Qin; Wenjia Bai; Tianrui Liu 001; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

Self-Supervised Learning for Few-Shot Medical Image Segmentation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

Diagnosis. - Daniel Rueckert; Moritz Knolle; Nicolas Duchateau; Reza Razavi; Georgios Kaissis (AI and Big Data in Cardiology, 2023)

Self-supervised learning for atrial fibrillation detection with ECG using CNNTransformer. - Congyu Zou; Alexander Müller; Eimo Martens; Phillip Müller; Daniel Rückert; Alexander Steger; Matthias Becker; Wolfgang Utschick (BIBM, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; et al. (BrainLes/SWITCH@MICCAI, 2023)

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. - Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis (AISec@CCS, 2023)

Utility-preserving Federated Learning. - Reza Nasirigerdeh; Daniel Rueckert; Georgios Kaissis (AISec@CCS, 2023)

Bias in Unsupervised Anomaly Detection in Brain MRI. - Cosmin I. Bercea; Esther Puyol-Antón; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. - Paul Hager; Martin J. Menten; Daniel Rueckert (CVPR, 2023)

Interactive and Explainable Region-guided Radiology Report Generation. - Tim Tanida; Philip Müller; Georgios Kaissis; Daniel Rueckert (CVPR, 2023)

DWT-CNNTRN: a Convolutional Transformer for ECG Classification with Discrete Wavelet Transform. - Congyu Zou; Mikhael Djajapermana; Eimo Martens; Alexander Müller; Daniel Rückert; Philip Müller; Alexander Steger; Matthias Becker; Wolfgang Utschick (EMBC, 2023)

A skeletonization algorithm for gradient-based optimization. - Martin J. Menten; Johannes C. Paetzold; Veronika A. Zimmer; Suprosanna Shit; Ivan Ezhov; Robbie Holland; Monika Probst; Julia A. Schnabel; Daniel Rueckert (ICCV, 2023)

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. - Wenqi Huang 003; Hongwei Bran Li; Jiazhen Pan; Gastão Cruz; Daniel Rueckert; Kerstin Hammernik (IPMI, 2023)

Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. - Ario Sadafi; Oleksandra Adonkina; Ashkan Khakzar; Peter Lienemann; Rudolf Matthias Hehr; Daniel Rueckert; Nassir Navab; Carsten Marr (IPMI, 2023)

Approaching Peak Ground Truth. - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (ISBI, 2023)

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients. - Alexander Ziller; Ayhan Can Erdur; Friederike Jungmann; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (ISBI, 2023)

Metrics to Quantify Global Consistency in Synthetic Medical Images. - Daniel Scholz 005; Benedikt Wiestler; Daniel Rueckert; Martin J. Menten (DGM4MICCAI, 2023)

NISF: Neural Implicit Segmentation Functions. - Nil Stolt Ansó; Julian McGinnis; Jiazhen Pan; Kerstin Hammernik; Daniel Rueckert (MICCAI (4), 2023)

Gradient Self-alignment in Private Deep Learning. - David Bani-Harouni; Tamara T. Mueller; Daniel Rueckert; Georgios Kaissis (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. - Cosmin I. Bercea; Daniel Rueckert; Julia A. Schnabel (MICCAI (5), 2023)

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (MICCAI (5), 2023)

Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Rolandos Alexandros Potamias; Alexander Hammers; Daniel Rueckert (MICCAI (8), 2023)

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. - Kyriaki-Margarita Bintsi; Tamara T. Mueller; Sophie Starck; Vasileios Baltatzis; Alexander Hammers; Daniel Rueckert (GRAIL/OCELOT@MICCAI, 2023)

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. - Alina F. Dima; Veronika A. Zimmer; Martin J. Menten; Hongwei Bran Li; Markus Graf; Tristan Lemke; Philipp Raffler; Robert Graf; Jan S. Kirschke; Rickmer Braren; Daniel Rueckert (MICCAI (1), 2023)

Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. - Hannah Eichhorn; Kerstin Hammernik; Veronika Spieker; Samira M. Epp; Daniel Rueckert; Christine Preibisch; Julia A. Schnabel (SASHIMI@MICCAI, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. - Taha Emre; Marzieh Oghbaie; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (OMIA@MICCAI, 2023)

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions. - Ayhan Can Erdur; Daniel Scholz 005; Josef A. Buchner; Stephanie E. Combs; Daniel Rueckert; Jan C. Peeken (BraTS/CrossMoDA@MICCAI, 2023)

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. - Leonhard F. Feiner; Martin J. Menten; Kerstin Hammernik; Paul Hager; Wenqi Huang 003; Daniel Rueckert; Rickmer F. Braren; Georgios Kaissis (UNSURE@MICCAI, 2023)

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. - Robbie Holland; Oliver Leingang; Christopher Holmes; Philipp Anders; Rebecca Kaye; Sophie Riedl; Johannes C. Paetzold; Ivan Ezhov; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; et al. (MICCAI (7), 2023)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. - Shuting Liu; Baochang Zhang 004; Rong Fang; Daniel Rueckert; Veronika A. Zimmer (MICCAI (8), 2023)

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. - Qiang Ma 004; Liu Li; Vanessa Kyriakopoulou; Joseph V. Hajnal; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (4), 2023)

Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder. - Adam Marcus 003; Paul Bentley; Daniel Rueckert (MLCN@MICCAI, 2023)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (MICCAI (8), 2023)

Extended Graph Assessment Metrics for Regression and Weighted Graphs. - Tamara T. Mueller; Sophie Starck; Leonhard F. Feiner; Kyriaki-Margarita Bintsi; Daniel Rueckert; Georgios Kaissis (GRAIL/OCELOT@MICCAI, 2023)

Body Fat Estimation from Surface Meshes Using Graph Neural Networks. - Tamara T. Mueller; Siyu Zhou; Sophie Starck; Friederike Jungmann; Alexander Ziller; Orhun Aksoy; Danylo Movchan; Rickmer Braren; Georgios Kaissis; Daniel Rueckert (ShapeMI@MICCAI, 2023)

Anatomy-Driven Pathology Detection on Chest X-rays. - Philip Müller; Felix Meissen; Johannes Brandt; Georgios Kaissis; Daniel Rueckert (MICCAI (1), 2023)

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. - Jiazhen Pan; Suprosanna Shit; Özgün Turgut; Wenqi Huang 003; Hongwei Bran Li; Nil Stolt Ansó; Thomas Küstner; Kerstin Hammernik; Daniel Rueckert (MICCAI (10), 2023)

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. - Chinmay Prabhakar; Hongwei Bran Li; Johannes C. Paetzold; Timo Loehr; Chen Niu; Mark Mühlau; Daniel Rueckert; Benedikt Wiestler; Bjoern H. Menze (MICCAI (8), 2023)

The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. - Denis Prokopenko; Kerstin Hammernik; Thomas A. Roberts; David F. A. Lloyd; Daniel Rueckert; Joseph V. Hajnal (PIPPI@MICCAI, 2023)

MAD: Modality Agnostic Distance Measure for Image Registration. - Vasiliki Sideri-Lampretsa; Veronika A. Zimmer; Huaqi Qiu; Georgios Kaissis; Daniel Rueckert (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Towards Generalised Neural Implicit Representations for Image Registration. - Veronika A. Zimmer; Kerstin Hammernik; Vasiliki Sideri-Lampretsa; Wenqi Huang 003; Anna Reithmeir; Daniel Rueckert; Julia A. Schnabel (DGM4MICCAI, 2023)

Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (MIDL, 2023)

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. - Felix Meissen; Philip Müller; Georgios Kaissis; Daniel Rueckert (MIDL, 2023)

Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning. - Georgios Kaissis; Alexander Ziller; Stefan Kolek; Anneliese Riess; Daniel Rueckert (NeurIPS, 2023)

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning. - Reza Nasirigerdeh; Javad Torkzadehmahani; Daniel Rueckert; Georgios Kaissis (SaTML, 2023)

Deep Conditional Shape Models for 3D Cardiac Image Segmentation. - Athira J. Jacob; Puneet Sharma; Daniel Rückert (STACOM@MICCAI, 2023)

Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views. - Marica Muffoletto; Hao Xu; Yiyang Xu; Steven E. Williams; Michelle C. Williams; Karl P. Kunze; Radhouène Neji; Steven A. Niederer; Daniel Rueckert; Alistair A. Young (STACOM@MICCAI, 2023)

T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer. - Michael Tänzer; Fanwen Wang; Mengyun Qiao; Wenjia Bai; Daniel Rueckert; Guang Yang 006; Sonia Nielles-Vallespin (STACOM@MICCAI, 2023)

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. - Robbie Holland; Oliver Leingang; Christopher Holmes; Philipp Anders; Johannes C. Paetzold; Rebecca Kaye; Sophie Riedl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Lars Fritsche; Hendrik P. N. Scholl; Sobha Sivaprasad; et al. (CoRR, 2023)

Equivariant Differentially Private Deep Learning. - Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. - Soroosh Tayebi Arasteh; Alexander Ziller; Christiane Kuhl; Marcus R. Makowski; Sven Nebelung; Rickmer Braren; Daniel Rueckert; Daniel Truhn; Georgios Kaissis (CoRR, 2023)

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. - Jiazhen Pan; Wenqi Huang 003; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (CoRR, 2023)

The Multiscale Surface Vision Transformer. - Simon Dahan; Abdulah Fawaz; Mohamed A. Suliman; Mariana da Silva; Logan Z. J. Williams; Daniel Rueckert; Emma C. Robinson (CoRR, 2023)

Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (CoRR, 2023)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Florian Kofler; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Daniel Rueckert; Jan S. Kirschke; Marie Piraud; Bjoern H. Menze (CoRR, 2023)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. - Arunava Chakravarty; Taha Emre; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2023)

Leveraging gradient-derived metrics for data selection and valuation in differentially private training. - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models. - Cosmin I. Bercea; Michael Neumayr; Daniel Rueckert; Julia A. Schnabel (CoRR, 2023)

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs. - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen 042; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (CoRR, 2023)

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation. - Jingjie Guo; Weitong Zhang; Matthew Sinclair; Daniel Rueckert; Chen Chen 042 (CoRR, 2023)

Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy. - Georgios Kaissis; Jamie Hayes; Alexander Ziller; Daniel Rueckert (CoRR, 2023)

Explainable 2D Vision Models for 3D Medical Data. - Alexander Ziller; Alp Güvenir; Ayhan Can Erdur; Tamara T. Mueller; Philip Müller; Friederike Jungmann; Johannes Brandt; Jan Peeken; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure. - Tamara T. Mueller; Maulik Chevli; Ameya Daigavane; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Atlas-Based Interpretable Age Prediction. - Sophie Starck; Yadunandan Vivekanand Kini; Jessica Johanna Maria Ritter; Rickmer Braren; Daniel Rueckert; Tamara T. Mueller (CoRR, 2023)

Extended Graph Assessment Metrics for Graph Neural Networks. - Tamara T. Mueller; Sophie Starck; Leonhard F. Feiner; Kyriaki-Margarita Bintsi; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. - Taha Emre; Marzieh Oghbaie; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2023)

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data. - Simon Dahan; Mariana da Silva; Daniel Rueckert; Emma C. Robinson (CoRR, 2023)

Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI. - Özgün Turgut; Philip Müller; Paul Hager; Suprosanna Shit; Sophie Starck; Martin J. Menten; Eimo Martens; Daniel Rueckert (CoRR, 2023)

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations. - Robert Graf; Joachim Schmitt; Sarah Schlaeger; Hendrik Kristian Möller; Vasiliki Sideri-Lampretsa; Anjany Sekuboyina; Sandro Manuel Krieg; Benedikt Wiestler; Bjoern H. Menze; Daniel Rueckert; Jan Stefan Kirschke (CoRR, 2023)

Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD. - Moritz Knolle; Robert Dorfman; Alexander Ziller; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

(Predictable) Performance Bias in Unsupervised Anomaly Detection. - Felix Meissen; Svenja Breuer; Moritz Knolle; Alena Buyx; Ruth Müller; Georgios Kaissis; Benedikt Wiestler; Daniel Rueckert (CoRR, 2023)

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps. - Florian Kofler; Hendrik Kristian Möller; Josef A. Buchner; Ezequiel de la Rosa; Ivan Ezhov; Marcel Rosier; Isra Mekki; Suprosanna Shit; Moritz Negwer; Rami Al-Maskari; Ali Ertürk; Shankeeth Vinayahalingam; et al. (CoRR, 2023)

How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection. - Felix Meissen; Johannes Getzner; Alexander Ziller; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging. - Alexander Ziller; Tamara T. Mueller; Simon Stieger; Leonhard F. Feiner; Johannes Brandt; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. - Chen Qin; Shuo Wang 011; Chen Chen 042; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2023)

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Robert Wright; Gavin Wheeler; Shujie Deng; Nooshin Ghavami; Karen Lloyd; Jacqueline Matthew; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; et al. (Medical Image Anal., 2023)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (IEEE Signal Process. Mag., 2023)

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy. - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; Daniel Rueckert; Georgios Kaissis (Trans. Mach. Learn. Res., 2023)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. - Cheng Ouyang; Chen Chen 042; Surui Li; Zeju Li; Chen Qin; Wenjia Bai; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Differentially Private Graph Neural Networks for Whole-Graph Classification. - Tamara T. Mueller; Johannes C. Paetzold; Chinmay Prabhakar; Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks. - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (ACM Trans. Priv. Secur., 2023)

Fast fetal head compounding from multi-view 3D ultrasound. - Robert Wright; Alberto Gómez 002; Veronika A. Zimmer; Nicolas Toussaint; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (Medical Image Anal., 2023)

Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network. - Adam Marcus 003; Paul Bentley; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. - Patrick T. Haft; Wenqi Huang 003; Gastão Cruz; Daniel Rueckert; Veronika A. Zimmer; Kerstin Hammernik (Bildverarbeitung für die Medizin, 2024)

Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information. - Tobias Rueckert; Maximilian Rieder; Hubertus Feussner; Dirk Wilhelm; Daniel Rueckert; Christoph Palm (Bildverarbeitung für die Medizin, 2024)

ChEX: Interactive Localization and Region Description in Chest X-Rays. - Philip Müller; Georgios Kaissis; Daniel Rueckert (ECCV (21), 2024)

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training. - Dmitrii Usynin; Daniel Rueckert; Georgios Kaissis (EICC, 2024)

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. - Georgios Kaissis; Stefan Kolek; Borja Balle; Jamie Hayes; Daniel Rueckert (ICML, 2024)

More is Not Always Better: Exploring Early Repair of DNNs. - Andrei Mancu; Thomas Laurent 003; Franz Rieger; Paolo Arcaini; Fuyuki Ishikawa; Daniel Rueckert (DeepTest@ICSE, 2024)

Intensity-Based 3D Motion Correction for Cardiac MR Images. - Nil Stolt Ansó; Vasiliki Sideri-Lampretsa; Maik Dannecker; Daniel Rueckert (ISBI, 2024)

DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation. - Athira J. Jacob; Puneet Sharma; Daniel Rueckert (ISBI, 2024)

Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure. - Tamara T. Mueller; Maulik Chevli; Ameya Daigavane; Daniel Rueckert; Georgios Kaissis (ISBI, 2024)

Direct Cardiac Segmentation from Undersampled K-Space using Transformers. - Yundi Zhang; Nil Stolt Ansó; Jiazhen Pan; Wenqi Huang 003; Kerstin Hammernik; Daniel Rueckert (ISBI, 2024)

Supervised Contrastive Learning for Image-to-Graph Transformers. - Anna Banaszak; Alexander H. Berger; Laurin Lux; Suprosanna Shit; Daniel Rueckert; Johannes C. Paetzold (GRAIL@MICCAI, 2024)

Diffusion Models with Implicit Guidance for Medical Anomaly Detection. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (MICCAI (11), 2024)

Topologically Faithful Multi-class Segmentation in Medical Images. - Alexander H. Berger; Laurin Lux; Nico Stucki; Vincent Bürgin; Suprosanna Shit; Anna Banaszak; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (MICCAI (8), 2024)

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. - Arunava Chakravarty; Taha Emre; Dmitry A. Lachinov; Antoine Rivail; Hendrik P. N. Scholl; Lars Fritsche; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (5), 2024)

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. - Maik Dannecker; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (MICCAI (9), 2024)

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. - Mohammed Munzer Dwedari; William Consagra; Philip Müller; Özgün Turgut; Daniel Rueckert; Yogesh Rathi (MICCAI (7), 2024)

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data. - Robert Graf; Florian Hunecke; Soeren Pohl; Matan Atad; Hendrik Kristian Möller; Sophie Starck; Thomas Kröncke; Stefanie Bette; Fabian Bamberg; Tobias Pischon; Thoralf Niendorf; Carsten Oliver Schmidt; et al. (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Interactive Generation of Laparoscopic Videos with Diffusion Models. - Ivan Iliash; Simeon Allmendinger; Felix Meissen; Niklas Kühl 001; Daniel Rückert (DGM4MICCAI@MICCAI, 2024)

Fair and Private CT Contrast Agent Detection. - Philipp Kaess; Alexander Ziller; Lea Mantz; Daniel Rueckert; Florian J. Fintelmann; Georgios Kaissis (FAIMI/EPIMI@MICCAI, 2024)

Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. - Jun Li; Su Hwan Kim 007; Philip Müller; Lina Felsner; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 2024)

Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. - Michelle Espranita Liman; Daniel Rueckert; Florian J. Fintelmann; Philip Müller (MICCAI (1), 2024)

Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. - Shuting Liu; Baochang Zhang 004; Veronika A. Zimmer; Daniel Rueckert (MICCAI (3), 2024)

Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. - Laurin Lux; Alexander H. Berger; Maria Romeo Tricas; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (GRAIL@MICCAI, 2024)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (11), 2024)

Complex-Valued Federated Learning with Differential Privacy and MRI Applications. - Anneliese Riess; Alexander Ziller; Stefan Kolek; Daniel Rueckert; Julia A. Schnabel; Georgios Kaissis (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. - Chengzhi Shen; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; Andrew J. Lotery; Daniel Rueckert; Paul Hager; Robbie Holland (MICCAI (11), 2024)

Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (MICCAI (7), 2024)

CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data. - Yunheng Wu; Martin J. Menten; Linus Kreitner; Shuntaro Kawamura; Masahiro Oda 001; Yuichiro Hayashi; Takanori Takebe; Daniel Rueckert; Kensaku Mori (MOVI@MICCAI, 2024)

A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN. - Yunheng Wu; Jiazhen Pan; Shuntaro Kawamura; Masahiro Oda 001; Yuichiro Hayashi; Takanori Takebe; Daniel Rueckert; Kensaku Mori (MOVI@MICCAI, 2024)

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. - Yundi Zhang; Chen Chen 042; Suprosanna Shit; Sophie Starck; Daniel Rueckert; Jiazhen Pan (MICCAI (1), 2024)

Imbalance-aware loss functions improve medical image classification. - Daniel Scholz 005; Ayhan Can Erdur; Josef A. Buchner; Jan C. Peeken; Daniel Rueckert; Benedikt Wiestler (MIDL, 2024)

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders. - Simon Dahan; Logan Zane John Williams; Yourong Guo; Daniel Rueckert; Emma Claire Robinson (MIDL, 2024)

The Multiscale Surface Vision Transformer. - Simon Dahan; Logan Zane John Williams; Daniel Rueckert; Emma Claire Robinson (MIDL, 2024)

Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation. - Robert Graf; Hendrik Kristian Möller; Julian McGinnis; Sebastian Rühling; Maren Weihrauch; Matan Atad; Suprosanna Shit; Bjoern H. Menze; Mark Mühlau; Johannes C. Paetzold; Daniel Rueckert; Jan Kirschke (MIDL, 2024)

SINR: Spline-enhanced implicit neural representation for multi-modal registration. - Vasiliki Sideri-Lampretsa; Julian McGinnis; Huaqi Qiu; Magdalini Paschali; Walter Simson; Daniel Rueckert (MIDL, 2024)

VariViT: A Vision Transformer for Variable Image Sizes. - Aswathi Varma; Suprosanna Shit; Chinmay Prabhakar; Daniel Scholz 005; Hongwei Bran Li; Bjoern H. Menze; Daniel Rueckert; Benedikt Wiestler (MIDL, 2024)

Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI. - Ruochen Li; Jiazhen Pan; Youxiang Zhu; Juncheng Ni; Daniel Rueckert (MLMI@MICCAI (1), 2024)

Link Prediction for Flow-Driven Spatial Networks. - Bastian Wittmann; Johannes C. Paetzold; Chinmay Prabhakar; Daniel Rueckert; Bjoern H. Menze (WACV, 2024)

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration. - Bailiang Jian; Jiazhen Pan; Morteza Ghahremani; Daniel Rueckert; Christian Wachinger; Benedikt Wiestler (WBIR, 2024)

General Vision Encoder Features as Guidance in Medical Image Registration. - Fryderyk Victor Kögl; Anna Reithmeir; Vasiliki Sideri-Lampretsa; Inês Machado; Rickmer Braren; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (WBIR, 2024)

On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. - Razieh Rezaei; Alireza Dizaji; Ashkan Khakzar; Anees Kazi; Nassir Navab; Daniel Rueckert (CoRR, 2024)

Towards Universal Unsupervised Anomaly Detection in Medical Imaging. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel (CoRR, 2024)

Bounding Reconstruction Attack Success of Adversaries Without Data Priors. - Alexander Ziller; Anneliese Riess; Kristian Schwethelm; Tamara T. Mueller; Daniel Rueckert; Georgios Kaissis (CoRR, 2024)

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation. - Hendrik Kristian Möller; Robert Graf; Joachim Schmitt; Benjamin Keinert; Matan Atad; Anjany Sekuboyina; Felix Streckenbach; Hanna Schön; Florian Kofler; Thomas Kröncke; Stefanie Bette; Stefan Willich; et al. (CoRR, 2024)

Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation. - Robert Mendel; Tobias Rueckert; Dirk Wilhelm; Daniel Rueckert; Christoph Palm (CoRR, 2024)

Visual Privacy Auditing with Diffusion Models. - Kristian Schwethelm; Johannes Kaiser; Moritz Knolle; Daniel Rueckert; Georgios Kaissis; Alexander Ziller (CoRR, 2024)

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. - Sophie Starck; Vasiliki Sideri-Lampretsa; Bernhard Kainz; Martin J. Menten; Tamara T. Mueller; Daniel Rueckert (CoRR, 2024)

Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. - Jun Li; Cosmin I. Bercea; Philip Müller; Lina Felsner; Su Hwan Kim 007; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel (CoRR, 2024)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rückert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (CoRR, 2024)

Detecting and clustering swallow events in esophageal long-term high-resolution manometry. - Alexander Geiger; Lars Wagner; Daniel Rueckert; Dirk Wilhelm; Alissa Jell (CoRR, 2024)

Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4). - Robbie Holland; Rebecca Kaye; Ahmed M. Hagag; Oliver Leingang; Thomas R. P. Taylor; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Daniel Rueckert; Andrew J. Lotery; Sobha Sivaprasad; Martin J. Menten (CoRR, 2024)

TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images. - Robert Graf; Paul-Sören Platzek; Evamaria Olga Riedel; Constanze Ramschütz; Sophie Starck; Hendrik Kristian Möller; Matan Atad; Henry Völzke; Robin Bülow; Carsten Oliver Schmidt; Julia Rüdebusch; Matthias Jung 005; et al. (CoRR, 2024)

Learning Visual Prompts for Guiding the Attention of Vision Transformers. - Razieh Rezaei; Masoud Jalili Sabet; Jindong Gu; Daniel Rueckert; Philip Torr 001; Ashkan Khakzar (CoRR, 2024)

Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. - Andrea Posada; Daniel Rueckert; Felix Meissen; Philip Müller (CoRR, 2024)

Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. - Mehmet Yigit Avci; Emily Chan; Veronika A. M. Zimmer; Daniel Rueckert; Benedikt Wiestler; Julia A. Schnabel; Cosmin I. Bercea (CoRR, 2024)

Machine Unlearning for Medical Imaging. - Reza Nasirigerdeh; Nader Razmi; Julia A. Schnabel; Daniel Rueckert; Georgios Kaissis (CoRR, 2024)

Specialist vision-language models for clinical ophthalmology. - Robbie Holland; Thomas R. P. Taylor; Christopher Holmes; Sophie Riedl; Julia Mai; Maria Patsiamanidi; Dimitra Mitsopoulou; Paul Hager; Philip Müller; Hendrik P. N. Scholl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; et al. (CoRR, 2024)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder. - Matan Atad; David Schinz; Hendrik Kristian Möller; Robert Graf; Benedikt Wiestler; Daniel Rueckert; Nassir Navab; Jan S. Kirschke; Matthias Keicher (CoRR, 2024)

Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model. - Matan Atad; Gabriel Gruber; Marx Ribeiro; Luis Fernando Nicolini; Robert Graf; Hendrik Kristian Möller; Kati Nispel; Ivan Ezhov; Daniel Rueckert; Jan S. Kirschke (CoRR, 2024)

Towards a vision foundation model for comprehensive assessment of Cardiac MRI. - Athira J. Jacob; Indraneel Borgohain; Teodora Chitiboi; Puneet Sharma; Dorin Comaniciu; Daniel Rueckert (CoRR, 2024)

Towards Generalisable Time Series Understanding Across Domains. - Özgün Turgut; Philip Müller; Martin J. Menten; Daniel Rueckert (CoRR, 2024)

Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging. - Aya Ghoul; Kerstin Hammernik; Andreas Lingg; Patrick Krumm; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (CoRR, 2024)

A Practical Guide to Fine-tuning Language Models with Limited Data. - Marton Szep; Daniel Rueckert; Rüdiger von Eisenhart-Rothe; Florian Hinterwimmer (CoRR, 2024)

Improved Localized Machine Unlearning Through the Lens of Memorization. - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; Georgios Kaissis; Daniel Rueckert; Gintare Karolina Dziugaite; Eleni Triantafillou (CoRR, 2024)

Image registration is a geometric deep learning task. - Vasiliki Sideri-Lampretsa; Nil Stolt Ansó; Martin J. Menten; Huaqi Qiu; Julian McGinnis; Daniel Rueckert (CoRR, 2024)

Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning. - Jonas Weidner; Michal Balcerak; Ivan Ezhov; André Datchev; Laurin Lux; Lucas Zimmer; Daniel Rückert; Bjoern H. Menze; Benedikt Wiestler (CoRR, 2024)

DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI. - Denis Prokopenko; David F. A. Lloyd; Amedeo Chiribiri; Daniel Rueckert; Joseph V. Hajnal (CoRR, 2024)

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review. - Anna Reithmeir; Veronika Spieker; Vasiliki Sideri-Lampretsa; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (CoRR, 2024)

Self-Supervised Radiograph Anatomical Region Classification - How Clean Is Your Real-World Data? - Simon Langer; Jessica Johanna Maria Ritter; Rickmer Braren; Daniel Rueckert; Paul Hager (CoRR, 2024)

Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine. - Eimo Martens; Hans-Ulrich Haase; Giulio Mastella; Andreas Henkel; Christoph Spinner; Franziska Hahn; Congyu Zou; Augusto Fava-Sanches; Julia Allescher; Daniel Heid; Elena Strauss; Melanie-Maria Maier; et al. (Frontiers Digit. Health, 2024)

Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results. - Tamara T. Mueller; Dmitrii Usynin; Johannes C. Paetzold; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (J. Priv. Confidentiality, 2024)

Metadata-enhanced contrastive learning from retinal optical coherence tomography images. - Robbie Holland; Oliver Leingang; Hrvoje Bogunovic; Sophie Riedl; Lars Fritsche; Toby Prevost; Hendrik P. N. Scholl; Ursula Schmidt-Erfurth; Sobha Sivaprasad; Andrew J. Lotery; Daniel Rueckert; Martin J. Menten (Medical Image Anal., 2024)

Federated learning is not a cure-all for data ethics. - Marieke A. R. Bak; Vince I. Madai; Leo Anthony Celi; Georgios Kaissis; Ronald Cornet; Menno Maris; Daniel Rueckert; Alena Buyx; Stuart McLennan (Nat. Mac. Intell., 2024)

Reconciling privacy and accuracy in AI for medical imaging. - Alexander Ziller; Tamara T. Mueller; Simon Stieger; Leonhard F. Feiner; Johannes Brandt; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (Nat. Mac. Intell., 2024)

Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT. - Adam Marcus 003; Grant Mair; Liang Chen 018; Charles Hallett; Claudia Ghezzou Cuervas-Mons; Dylan Roi; Daniel Rueckert; Paul Bentley (npj Digit. Medicine, 2024)

A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. - Tamara T. Mueller; Sophie Starck; Alina Dima; Stephan Wunderlich; Kyriaki-Margarita Bintsi; Kamilia Zaripova; Rickmer Braren; Daniel Rueckert; Anees Kazi; Georgios Kaissis (Trans. Mach. Learn. Res., 2024)

Are Population Graphs Really as Powerful as Believed? - Tamara T. Müller; Sophie Starck; Kyriaki-Margarita Bintsi; Alexander Ziller; Rickmer Braren; Georgios Kaissis; Daniel Rueckert (Trans. Mach. Learn. Res., 2024)

Kernel Normalized Convolutional Networks. - Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Daniel Rueckert; Georgios Kaissis (Trans. Mach. Learn. Res., 2024)

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. - Jiazhen Pan; Manal Hamdi; Wenqi Huang 003; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (Medical Image Anal., 2024)

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. - Ioannis Lagogiannis; Felix Meissen; Georgios Kaissis; Daniel Rueckert (IEEE Trans. Medical Imaging, 2024)

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art. - Tobias Rueckert; Daniel Rueckert; Christoph Palm (Comput. Biol. Medicine, 2024)

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. - Veronika Spieker; Hannah Eichhorn; Kerstin Hammernik; Daniel Rueckert; Christine Preibisch; Dimitrios C. Karampinos; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2024)

Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929]. - Tobias Rueckert; Daniel Rueckert; Christoph Palm (Comput. Biol. Medicine, 2024)

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. - Mengyun Qiao; Shuo Wang 011; Huaqi Qiu; Antonio de Marvao; Declan P. O'Regan; Daniel Rueckert; Wenjia Bai (IEEE Trans. Medical Imaging, 2024)

Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Gen Sato; Tadaaki Miyamoto; Daniel Rueckert; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2024)

DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. - Qingjie Meng; Wenjia Bai; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2024)

Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. - Hailong He; Johannes C. Paetzold; Nils Börner; Erik Riedel; Stefan Gerl; Simon Schneider; Chiara Fisher; Ivan Ezhov; Suprosanna Shit; Hongwei Li 004; Daniel Rückert; Juan Aguirre; et al. (IEEE Trans. Medical Imaging, 2024)

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. - Linus Kreitner; Johannes C. Paetzold; Nikolaus Rauch; Chen Chen 042; Ahmed M. Hagag; Alaa E. Fayed; Sobha Sivaprasad; Sebastian Rausch; Julian Weichsel; Bjoern H. Menze; Matthias Harders; Benjamin Knier; et al. (IEEE Trans. Medical Imaging, 2024)

Large-scale UK Biobank Whole Body Atlases. - Sophie Starck; Vasiliki Sideri-Lampretsa; Jessica Johanna Maria Ritter; Veronika A. Zimmer; Rickmer Braren; Tamara T. Mueller; Daniel Rueckert (Zenodo, 2024)

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. - Jiazhen Pan; Wenqi Huang 003; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (IEEE Trans. Medical Imaging, 2024)

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. - Aya Ghoul; Jiazhen Pan; Andreas Lingg; Jens Kübler; Patrick Krumm; Kerstin Hammernik; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (IEEE Trans. Medical Imaging, 2024)

Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. - Arunava Chakravarty; Taha Emre; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE Trans. Medical Imaging, 2024)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. - Taha Emre; Arunava Chakravarty; Antoine Rivail; Dmitry A. Lachinov; Oliver Leingang; Sophie Riedl; Julia Mai; Hendrik P. N. Scholl; Sobha Sivaprasad; Daniel Rueckert; Andrew J. Lotery; Ursula Schmidt-Erfurth; et al. (IEEE Trans. Medical Imaging, 2024)

Editorial. - Dong Liang 001; Daniel Rueckert; Ge Wang 001; Tolga Çukur; Hengyong Yu (IEEE Trans. Medical Imaging, 2024)

Transformer models in biomedicine. - Sumit Madan; Manuel Lentzen; Johannes Brandt; Daniel Rueckert; Martin Hofmann-Apitius; Holger Fröhlich (BMC Medical Informatics Decis. Mak., 2024)

Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models. - Zeineb Haouari; Jonas Weidner; Ivan Ezhov; Aswathi Varma; Daniel Rueckert; Bjoern H. Menze; Benedikt Wiestler (Bildverarbeitung für die Medizin, 2025)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. - David Mildenberger; Paul Hager; Daniel Rueckert; Martin J. Menten (CVPR, 2025)

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments. - Simon Dahan; Gabriel Bénédict; Logan Zane John Williams; Yourong Guo; Daniel Rueckert; Robert Leech; Emma Claire Robinson (ICLR, 2025)

Laplace Sample Information: Data Informativeness Through a Bayesian Lens. - Johannes Kaiser; Kristian Schwethelm; Daniel Rueckert; Georgios Kaissis (ICLR, 2025)

Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation. - Laurin Lux; Alexander H. Berger; Alexander Weers; Nico Stucki; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (ICLR, 2025)

Pitfalls of Topology-Aware Image Segmentation. - Alexander H. Berger; Laurin Lux; Alexander Weers; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (IPMI (1), 2025)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. - Wenqi Huang 003; Veronika Spieker; Siying Xu; Gastão Cruz; Claudia Prieto; Julia A. Schnabel; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (IPMI (1), 2025)

Differentially Private Active Learning: Balancing Effective Data Selection and Privacy. - Kristian Schwethelm; Johannes Kaiser; Jonas Kuntzer; Mehmet Yigitsoy; Daniel Rückert; Georgios Kaissis (SaTML, 2025)

Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers. - Alexander H. Berger; Laurin Lux; Suprosanna Shit; Ivan Ezhov; Georgios Kaissis; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (WACV, 2025)

Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc. - Matan Atad; Gabriel Gruber; Marx Ribeiro; Luis Fernando Nicolini; Robert Graf; Hendrik Kristian Möller; Kati Nispel; Ivan Ezhov; Daniel Rueckert; Jan S. Kirschke (Comput. Biol. Medicine, 2025)

Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging. - Siying Xu; Kerstin Hammernik; Andreas Lingg; Jens Kübler; Patrick Krumm; Daniel Rueckert; Sergios Gatidis; Thomas Küstner (Comput. Medical Imaging Graph., 2025)

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. - Qiang Ma 004; Kaili Liang; Liu Li; Saga Masui; Yourong Guo; Chiara Nosarti; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2025)

Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging. - Özgün Turgut; Philip Müller; Paul Hager; Suprosanna Shit; Sophie Starck; Martin J. Menten; Eimo Martens; Daniel Rueckert (Medical Image Anal., 2025)

Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond. - Yundi Zhang; Paul Hager; Che Liu; Suprosanna Shit; Chen Chen 042; Daniel Rueckert; Jiazhen Pan (Medical Image Anal., 2025)

AI-driven preclinical disease risk assessment using imaging in UK biobank. - Dmitrii Seletkov; Sophie Starck; Tamara T. Mueller; Yundi Zhang; Lisa Steinhelfer; Daniel Rueckert; Rickmer Braren (npj Digit. Medicine, 2025)

Visual Privacy Auditing with Diffusion Models. - Kristian Schwethelm; Johannes Kaiser; Moritz Knolle; Sarah Lockfisch; Daniel Rueckert; Alexander Ziller (Trans. Mach. Learn. Res., 2025)

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis. - Bailiang Jian; Jiazhen Pan; Yitong Li; Fabian Bongratz; Ruochen Li; Daniel Rueckert; Benedikt Wiestler; Christian Wachinger (CoRR, 2025)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. - Veronika Spieker; Hannah Eichhorn; Wenqi Huang 003; Jonathan K. Stelter; Tabita Catalán; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Dimitrios C. Karampinos; Claudia Prieto; Julia A. Schnabel (CoRR, 2025)

Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment. - Fabian Drexel; Vasiliki Sideri-Lampretsa; Henriette Bast; Alexander W. Marka; Thomas Koehler 003; Florian T. Gassert; Daniela Pfeiffer; Daniel Rueckert; Franz Pfeiffer (CoRR, 2025)

PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI. - Hendrik Kristian Möller; Lukas Krautschick; Matan Atad; Robert Graf; Chia-Jung Busch; Achim Beule; Christian Scharf; Lars Kaderali; Bjoern H. Menze; Daniel Rueckert; Jan Kirschke; Fabian Schwitzing (CoRR, 2025)

Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling. - Philip Müller; Felix Meissen; Georgios Kaissis; Daniel Rueckert (IEEE Trans. Medical Imaging, 2025)

Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection. - Athira J. Jacob; Puneet Sharma; Daniel Rueckert (CoRR, 2025)

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. - Robert Graf; Hendrik Kristian Möller; Sophie Starck; Matan Atad; Philipp Braun; Jonathan K. Stelter; Annette Peters; Lilian Krist; Stefan Willich; Henry Völzke; Robin Bülow; Klaus Berger; et al. (CoRR, 2025)

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations. - Laurin Lux; Alexander H. Berger; Maria Romeo Tricas; Alaa E. Fayed; Sobha Sivaprasad; Linus Kreitner; Jonas Weidner; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2025)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. - Jiazhen Pan; Che Liu; Junde Wu; Fenglin Liu; Jiayuan Zhu; Hongwei Bran Li; Chen Chen 042; Cheng Ouyang; Daniel Rueckert (CoRR, 2025)

Are foundation models useful feature extractors for electroencephalography analysis? - Özgün Turgut; Felix S. Bott; Markus Ploner; Daniel Rueckert (CoRR, 2025)

Evaluation of Alignment-Regularity Characteristics in Deformable Image Registration. - Vasiliki Sideri-Lampretsa; Daniel Rueckert; Huaqi Qiu (CoRR, 2025)

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis. - Alexander Weers; Alexander H. Berger; Laurin Lux; Peter Schüffler; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2025)

A Learnable Prior Improves Inverse Tumor Growth Modeling. - Jonas Weidner; Ivan Ezhov; Michal Balcerak; Marie-Christin Metz; Sergey Litvinov; Sebastian Kaltenbach; Leonhard F. Feiner; Laurin Lux; Florian Kofler; Jana Lipková; Jonas Latz; Daniel Rueckert; et al. (IEEE Trans. Medical Imaging, 2025)

Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort. - Hendrik Kristian Möller; Hanna Schön; Alina Dima; Benjamin Keinert-Weth; Robert Graf; Matan Atad; Johannes C. Paetzold; Friederike Jungmann; Rickmer Braren; Florian Kofler; Bjoern H. Menze; Daniel Rueckert; et al. (CoRR, 2025)

Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations. - Maik Dannecker; Thomas Sanchez; Meritxell Bach Cuadra; Özgün Turgut; Anthony N. Price; Lucilio Cordero-Grande; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2025)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. - Che Liu; Haozhe Wang 002; Jiazhen Pan; Zhongwei Wan; Yong Dai 001; Fangzhen Lin; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain. - Maik Dannecker; Vasiliki Sideri-Lampretsa; Sophie Starck; Angeline Mihailov; Mathieu Milh; Nadine Girard; Guillaume Auzias; Daniel Rueckert (CoRR, 2025)

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. - Alexander Selivanov; Philip Müller; Özgün Turgut; Nil Stolt Ansó; Daniel Rückert (CoRR, 2025)

Parametric shape models for vessels learned from segmentations via differentiable voxelization. - Alina F. Dima; Suprosanna Shit; Huaqi Qiu; Robbie Holland; Tamara T. Mueller; Fabio Musio; Kaiyuan Yang 003; Bjoern H. Menze; Rickmer Braren; Marcus R. Makowski; Daniel Rueckert (CoRR, 2025)

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Hendrik Kristian Möller; Isra Mekki; Josef A. Buchner; Anton Schmick; Arianna Pfiffer; Eva Oswald; Lucas Zimmer; Ezequiel de la Rosa; Sarthak Pati; et al. (CoRR, 2025)

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study. - Che Liu; Jiazhen Pan; Weixiang Shen; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI. - Niklas Bubeck; Yundi Zhang; Suprosanna Shit; Daniel Rueckert; Jiazhen Pan (CoRR, 2025)

On Arbitrary Predictions from Equally Valid Models. - Sarah Lockfisch; Kristian Schwethelm; Martin J. Menten; Rickmer Braren; Daniel Rueckert; Alexander Ziller; Georgios Kaissis (CoRR, 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 2025)

Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment. - Dmitrii Seletkov; Sophie Starck; Ayhan Can Erdur; Yundi Zhang; Daniel Rueckert; Rickmer Braren (CoRR, 2025)

Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping. - Busra Bulut; Maik Dannecker; Thomas Sanchez; Sara Neves Silva; Vladyslav Zalevskyi; Steven Jia; Jean-Baptiste Ledoux; Guillaume Auzias; François Rousseau 002; Jana Hutter; Daniel Rueckert; Meritxell Bach Cuadra (CoRR, 2025)

On the notion of missingness for path attribution explainability methods in medical settings: Guiding the selection of medically meaningful baselines. - Alexander Geiger; Lars Wagner; Daniel Rueckert; Dirk Wilhelm; Alissa Jell (CoRR, 2025)