Non-linear Registration with the Variable Viscosity Fluid Algorithm. - Hava Lester; Simon R. Arridge; Kalvis M. Jansons; Louis Lemieux; Joseph V. Hajnal; Anjela Oatridge (IPMI, 1999)

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

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)

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

Multiple Coils for Reduction of Flow Artefacts in MR Images. - David Atkinson; David J. Larkman; Philipp G. Batchelor; Derek L. G. Hill; Joseph V. Hajnal (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)

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)

NeuroGrid: Using Grid Technology to Advance Neuroscience. - John R. Geddes; Sharon Lloyd; Andrew Simpson 001; Martin Rossor; Nick C. Fox; Derek L. G. Hill; Joseph V. Hajnal; Stephen M. Lawrie; Andrew M. McIntosh; Eve C. Johnstone; Joanna M. Wardlaw; Dave Perry; et al. (CBMS, 2005)

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

The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences. - John R. Geddes; Clare E. Mackay; Sharon Lloyd; Andrew Simpson 001; David J. Power; Douglas Russell; Mila Katzarova; Martin Rossor; Nick C. Fox; Jonathon Fletcher; Derek L. G. Hill; Kate McLeish; et al. (CBMS, 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)

Designing for e-Health: Recurring Scenarios in Developing Grid-based Medical Imaging Systems. - John R. Geddes; Clare E. Mackay; Sharon Lloyd; Andrew C. Simpson; David J. Power; Douglas Russell; Marina Jirotka; Mila Katzarova; Martin Rossor; Nick C. Fox; Jonathon Fletcher; Derek L. G. Hill; et al. (HealthGrid, 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)

A novel approach to accurate 3D high resolution and high SNR fetal brain imaging. - Shuzhou Jiang; Hui Xue 006; Alan Glover; Mary A. Rutherford; Joseph V. Hajnal (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)

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)

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)

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)

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)

The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla. - Christina Malamateniou; Serena J. Counsell; Joanna M. Allsop; Julie Fitzpatrick; Latha Srinivasan; Frances M. Cowan; Joseph V. Hajnal; Mary A. Rutherford (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)

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)

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)

Motion Estimation Applied to Reconstruct Undersampled Dynamic MRI. - Claudia Prieto; Marcello Guarini; Joseph V. Hajnal; Pablo Irarrazaval (PSIVT, 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)

Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants. - Mustafa Anjari; Latha Srinivasan; Joanna M. Allsop; Joseph V. Hajnal; Mary A. Rutherford; A. David Edwards; Serena J. Counsell (NeuroImage, 2007)

Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography. - Serena J. Counsell; Leigh Dyet; David J. Larkman; Rita Gouveia Nunes; James P. Boardman; Joanna M. Allsop; Julie Fitzpatrick; Latha Srinivasan; Frances M. Cowan; Joseph V. Hajnal; Mary A. Rutherford; A. David Edwards (NeuroImage, 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)

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)

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)

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)

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)

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)

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

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)

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)

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)

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)

Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI. - Paul Aljabar; Robin Wolz; Latha Srinivasan; Serena J. Counsell; James P. Boardman; Maria Murgasova; Valentina Doria; Mary A. Rutherford; A. David Edwards; Joseph V. Hajnal (MICCAI (3), 2010)

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

A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T). - Shiva Keihaninejad; Rolf A. Heckemann; Gianlorenzo Fagiolo; Mark R. Symms; Joseph V. Hajnal; Alexander Hammers (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)

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)

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)

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

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

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)

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)

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)

Towards 3D registration of fetal brain MRI and ultrasound. - Maria Kuklisova-Murgasova; Gerardine Quaghebeur; Joseph V. Hajnal; J. Alison Noble; Julia A. Schnabel (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)

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)

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)

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

Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. - Maria Kuklisova-Murgasova; Gerardine Quaghebeur; Mary A. Rutherford; Joseph V. Hajnal; Julia A. Schnabel (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)

Regional changes in thalamic shape and volume with increasing age. - Emer J. Hughes; Jacqueline Bond; Patricia Svrckova; Antonios Makropoulos; Gareth Ball; David J. Sharp; A. David Edwards; Joseph V. Hajnal; Serena J. Counsell (NeuroImage, 2012)

Identification and characterisation of midbrain nuclei using optimised functional magnetic resonance imaging. - Eve H. Limbrick-Oldfield; Jonathan C. W. Brooks; Richard J. S. Wise; Francesco Padormo; Joseph V. Hajnal; Christian F. Beckmann; Mark A. Ungless (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)

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)

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)

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)

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)

Registration of 3D fetal neurosonography and MRI. - Maria Kuklisova-Murgasova; Amalia Cifor; Raffaele Napolitano; Aris T. Papageorghiou; Gerardine Quaghebeur; Mary A. Rutherford; Joseph V. Hajnal; J. Alison Noble; Julia A. Schnabel (Medical Image Anal., 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)

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)

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)

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)

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)

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)

Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction. - Giulio Ferrazzi; Maria Kuklisova-Murgasova; Tomoki Arichi; Christina Malamateniou; Matthew J. Fox; Antonios Makropoulos; Joanna M. Allsop; Mary A. Rutherford; Shaihan J. Malik; Paul Aljabar; Joseph V. Hajnal (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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging. - Siying Wang 004; Maria Kuklisova-Murgasova; Joseph V. Hajnal; Christian Ledig; Julia A. Schnabel (ISBI, 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)

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)

Machine-learning to characterise neonatal functional connectivity in the preterm brain. - Gareth Ball; Paul Aljabar; Tomoki Arichi; Nora Tusor; D. Cox; Nazakat Merchant; P. Nongena; Joseph V. Hajnal; A. David Edwards; Serena J. Counsell (NeuroImage, 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)

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)

Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction. - Lucilio Cordero-Grande; Rui Pedro A. G. Teixeira; Emer J. Hughes; Jana Hutter; Anthony N. Price; Joseph V. Hajnal (IEEE Trans. Computational Imaging, 2016)

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)

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)

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)

Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI. - Jana Hutter; Daan Christiaens; Maria Deprez; Lucilio Cordero-Grande; Paddy Slator; Anthony Price; Mary A. Rutherford; Joseph V. Hajnal (MICCAI (1), 2017)

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. - Steven McDonagh 001; Benjamin Hou; Amir Alansary; Ozan Oktay; Konstantinos Kamnitsas; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz (CMMI/RAMBO/SWITCH@MICCAI, 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)

Early development of structural networks and the impact of prematurity on brain connectivity. - Dafnis Batalle; Emer J. Hughes; Hui Zhang 005; Jacques-Donald Tournier; Nora Tusor; Paul Aljabar; Luqman Wali; Daniel C. Alexander; Joseph V. Hajnal; Chiara Nosarti; A. David Edwards; Serena J. Counsell (NeuroImage, 2017)

A tract-specific approach to assessing white matter in preterm infants. - Diliana Pecheva; Paul A. Yushkevich; Dafnis Batalle; Emer J. Hughes; Paul Aljabar; Julia Wurie; Joseph V. Hajnal; A. David Edwards; Daniel C. Alexander; Serena J. Counsell; Hui Zhang 005 (NeuroImage, 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)

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)

Placenta Maps: In Utero Placental Health Assessment of the Human Fetus. - Haichao Miao; Gabriel Mistelbauer; Alexey Karimov; Amir Alansary; Alice Davidson; David F. A. Lloyd; Mellisa Damodaram; Lisa Story; Jana Hutter; Joseph V. Hajnal; Mary A. Rutherford; Bernhard Preim; et al. (IEEE Trans. Vis. Comput. Graph., 2017)

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)

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)

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)

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)

Slice-level diffusion encoding for motion and distortion correction. - Jana Hutter; Daan Christiaens; Torben Schneider; Lucilio Cordero-Grande; Paddy Slator; Maria Deprez; Anthony N. Price; Jacques-Donald Tournier; Mary A. Rutherford; Joseph V. Hajnal (Medical Image Anal., 2018)

Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. - Jelena Bozek; Antonios Makropoulos; Andreas Schuh; Sean P. Fitzgibbon; Robert Wright; Matthew F. Glasser; Timothy S. Coalson; Jonathan O'Muircheartaigh; Jana Hutter; Anthony N. Price; Lucilio Cordero-Grande; Rui Pedro A. G. Teixeira; et al. (NeuroImage, 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)

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)

InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. - Paddy J. Slator; Jana Hutter; Razvan V. Marinescu; Marco Palombo; Alexandra L. Young; Laurence H. Jackson; Alison Ho; Lucy C. Chappell; Mary A. Rutherford; Joseph V. Hajnal; Daniel C. Alexander (IPMI, 2019)

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. - Irina Grigorescu; Lucilio Cordero-Grande; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (SUSI/PIPPI@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)

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)

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)

Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging. - Tong Zhang 017; Laurence H. Jackson; Alena Uus; James R. Clough; Lisa Story; Mary A. Rutherford; Joseph V. Hajnal; Maria Deprez (MLMIR@MICCAI, 2019)

Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Nicolas Toussaint; Tong Zhang 017; Bishesh Khanal; Robert Wright; Yohan Noh; Alison Ho; Jacqueline Matthew; Joseph V. Hajnal; Julia A. Schnabel (MICCAI (5), 2019)

Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System. - Shuangyi Wang; James Housden; Yohan Noh; Davinder Singh; Anisha Singh; Emily Skelton; Jacqueline Matthew; Cornelius Tan; Junghwan Back; Lukas Lindenroth; Alberto Gómez 002; Nicolas Toussaint; et al. (TAROS (2), 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)

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)

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)

Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. - Dafnis Batalle; Jonathan O'Muircheartaigh; Antonios Makropoulos; Christopher J. Kelly; Ralica Dimitrova; Emer J. Hughes; Joseph V. Hajnal; Hui Zhang 005; Daniel C. Alexander; A. David Edwards; Serena J. Counsell (NeuroImage, 2019)

Complex diffusion-weighted image estimation via matrix recovery under general noise models. - Lucilio Cordero-Grande; Daan Christiaens; Jana Hutter; Anthony N. Price; Joseph V. Hajnal (NeuroImage, 2019)

A framework for multi-component analysis of diffusion MRI data over the neonatal period. - Maximilian Pietsch; Daan Christiaens; Jana Hutter; Lucilio Cordero-Grande; Anthony N. Price; Emer J. Hughes; A. David Edwards; Joseph V. Hajnal; Serena J. Counsell; Jacques-Donald Tournier (NeuroImage, 2019)

Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation. - Daniel J. West; Rui Pedro A. G. Teixeira; Tobias C. Wood; Joseph V. Hajnal; Jacques-Donald Tournier; Shaihan J. Malik (NeuroImage, 2019)

Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI. - Daan Christiaens; Lucilio Cordero-Grande; Jana Hutter; Anthony N. Price; Maria Deprez; Joseph V. Hajnal; Jacques-Donald Tournier (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)

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. - Irina Grigorescu; Lucilio Cordero-Grande; Dafnis Batalle; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (ASMUS/PIPPI@MICCAI, 2020)

Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. - Paddy J. Slator; Jana Hutter; Razvan V. Marinescu; Marco Palombo; Laurence H. Jackson; Alison Ho; Lucy C. Chappell; Mary A. Rutherford; Joseph V. Hajnal; Daniel C. Alexander (MICCAI (6), 2020)

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. - Alena Uus; Johannes K. Steinweg; Alison Ho; Laurence H. Jackson; Joseph V. Hajnal; Mary A. Rutherford; Maria Deprez; Jana Hutter (ASMUS/PIPPI@MICCAI, 2020)

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. - Veronika A. Zimmer; Alberto Gómez 002; Emily Skelton; Nooshin Ghavami; Robert Wright; Lei Li 020; Jacqueline Matthew; Joseph V. Hajnal; Julia A. Schnabel (ASMUS/PIPPI@MICCAI, 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)

Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. - Cesare Magnetti; Veronika A. M. Zimmer; Nooshin Ghavami; Emily Skelton; Jacqueline Matthew; Karen Lloyd; Joseph V. Hajnal; Julia A. Schnabel; Alberto Gómez 002 (MIUA, 2020)

Diffusion Tensor Driven Image Registration: A Deep Learning Approach. - Irina Grigorescu; Alena Uus; Daan Christiaens; Lucilio Cordero-Grande; Jana Hutter; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (WBIR, 2020)

Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain. - Alena Uus; Maximilian Pietsch; Irina Grigorescu; Daan Christiaens; Jacques-Donald Tournier; Lucilio Cordero-Grande; Jana Hutter; A. David Edwards; Joseph V. Hajnal; Maria Deprez (WBIR, 2020)

On the need for bundle-specific microstructure kernels in diffusion MRI. - Daan Christiaens; Jelle Veraart; Lucilio Cordero-Grande; Anthony N. Price; Jana Hutter; Joseph V. Hajnal; Jacques-Donald Tournier (NeuroImage, 2020)

Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. - Maria Deprez; Anthony Price; Daan Christiaens; Georgia Lockwood Estrin; Lucilio Cordero-Grande; Jana Hutter; Alessandro Daducci; Jacques-Donald Tournier; Mary A. Rutherford; Serena J. Counsell; Meritxell Bach Cuadra; Joseph V. Hajnal (IEEE Trans. Medical Imaging, 2020)

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI. - Alena Uus; Tong Zhang 017; Laurence H. Jackson; Thomas A. Roberts; Mary A. Rutherford; Joseph V. Hajnal; Maria Deprez (IEEE Trans. Medical Imaging, 2020)

Uncertainty-Aware Deep Learning Based Deformable Registration. - Irina Grigorescu; Alena Uus; Daan Christiaens; Lucilio Cordero-Grande; Jana Hutter; Dafnis Batalle; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (UNSURE/PIPPI@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)

Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI. - Alena Uus; Jacqueline Matthew; Irina Grigorescu; Samuel Jupp; Lucilio Cordero-Grande; Anthony Price; Emer J. Hughes; Prachi A. Patkee; Vanessa Kyriakopoulou; Robert Wright; Thomas A. Roberts; Jana Hutter; et al. (UNSURE/PIPPI@MICCAI, 2021)

Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction. - Lucilio Cordero-Grande; Juan Enrique Ortuño Fisac; Alena Uus; Maria Deprez; Andrés Santos; Joseph V. Hajnal; María-Jesus Ledesma-Carbayo (CoRR, 2021)

dStripe: Slice artefact correction in diffusion MRI via constrained neural network. - Maximilian Pietsch; Daan Christiaens; Joseph V. Hajnal; Jacques-Donald Tournier (Medical Image Anal., 2021)

APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation. - Maximilian Pietsch; Alison Ho; Alessia Bardanzellu; Aya Mutaz Ahmad Zeidan; Lucy C. Chappell; Joseph V. Hajnal; Mary A. Rutherford; Jana Hutter (Medical Image Anal., 2021)

Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. - Paddy J. Slator; Jana Hutter; Razvan V. Marinescu; Marco Palombo; Laurence H. Jackson; Alison Ho; Lucy C. Chappell; Mary A. Rutherford; Joseph V. Hajnal; Daniel C. Alexander (Medical Image Anal., 2021)

Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI. - Daan Christiaens; Lucilio Cordero-Grande; Maximilian Pietsch; Jana Hutter; Anthony N. Price; Emer J. Hughes; Katy Vecchiato; Maria Deprez; A. David Edwards; Joseph V. Hajnal; Jacques-Donald Tournier (NeuroImage, 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)

A Constant-Force End-Effector With Online Force Adjustment for Robotic Ultrasonography. - Xianqiang Bao; Shuangyi Wang; Richard James Housden; Joseph V. Hajnal; Kawal S. Rhode (IEEE Robotics Autom. Lett., 2021)

A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field. - Jordina Aviles; Kathleen Colford; Megan Hall; Massimo Marenzana; Alena Uus; Sharon Giles; Philippa Bridgen; Mary A. Rutherford; Shaihan J. Malik; Joseph V. Hajnal; Raphaël Tomi-Tricot; Jana Hutter (PIPPI@MICCAI, 2022)

Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. - Irina Grigorescu; Alena Uus; Daan Christiaens; Lucilio Cordero-Grande; Jana Hutter; Dafnis Batalle; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (PIPPI@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)

Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts. - Alena Uus; Mohammad-Usamah Ayub; Abi Gartner; Vanessa Kyriakopoulou; Maximilian Pietsch; Irina Grigorescu; Daan Christiaens; Jana Hutter; Lucilio Cordero-Grande; Anthony Price; Dafnis Batalle; Serena J. Counsell; et al. (PIPPI@MICCAI, 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)

Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range. - Alena Uus; Irina Grigorescu; Milou P. M. van Poppel; Johannes K. Steinweg; Thomas A. Roberts; Mary A. Rutherford; Joseph V. Hajnal; David F. A. Lloyd; Kuberan Pushparajah; Maria Deprez (Medical Image Anal., 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)

PRETUS: A plug-in based platform for real-time ultrasound imaging research. - Alberto Gómez 002; Veronika A. Zimmer; Gavin Wheeler; Nicolas Toussaint; Shujie Deng; Robert Wright; Emily Skelton; Jackie Matthews; Bernhard Kainz; Joseph V. Hajnal; Julia A. Schnabel (SoftwareX, 2022)

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)

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)

An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field. - Kelly Payette; Alena Uus; Jordina Aviles Verdera; Carla Avena Zampieri; Megan Hall; Lisa Story; Maria Deprez; Mary A. Rutherford; Joseph V. Hajnal; Sébastien Ourselin; Raphaël Tomi-Tricot; Jana Hutter (MICCAI (7), 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)

A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI. - Helena S. Sousa; Abi Gartner; Alena Uus; Vanessa Kyriakopoulou; Brigita Ziukaite; Isa Anzak; Jonathan O'Muircheartaigh; Joseph V. Hajnal; Jacques-Donald Tournier; Alexander Hammers; Mary A. Rutherford; Maria Deprez (PIPPI@MICCAI, 2023)

Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline. - Alena Uus; Megan Hall; Kelly Payette; Joseph V. Hajnal; Maria Deprez; Mary A. Rutherford; Jana Hutter; Lisa Story (PIPPI@MICCAI, 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)

A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning. - Xianqiang Bao; Shuangyi Wang; Lingling Zheng; Richard James Housden; Joseph V. Hajnal; Kawal S. Rhode (IEEE Trans. Instrum. Meas., 2023)

Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration. - Lucilio Cordero-Grande; Juan Enrique Ortuño Fisac; Alejandra Aguado del Hoyo; Alena Uus; Maria Deprez; Andrés Santos; Joseph V. Hajnal; María J. Ledesma-Carbayo (IEEE Trans. Medical Imaging, 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)

SAPM: Self-Adaptive Parallel Manipulator With Pose and Force Adjustment for Robotic Ultrasonography. - Xianqiang Bao; Shuangyi Wang; Lingling Zheng; Richard James Housden; Joseph V. Hajnal; Kawal S. Rhode (IEEE Trans. Ind. Electron., 2023)

Automatic Assessment of Fetal Multi-echo Diffusion Weighted Scans. - Antonia Bortolazzi; Jordina Aviles Verdera; Kelly Payette; Sara Neves Silva; Mary A. Rutherford; Joseph V. Hajnal; Jana Hutter (PIPPI@MICCAI, 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)

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. - Austin Tapp; Can Zhao 001; Holger R. Roth; Jeffrey Tanedo; Syed Muhammad Anwar; Niall J. Bourke; Joseph V. Hajnal; Victoria Nankabirwa; Sean C. L. Deoni; Natasha Leporé; Marius George Linguraru (MICCAI (3), 2024)

Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI. - Alena Uus; Carla Avena Zampieri; Fenella Downes; Alexia Egloff Collado; Megan Hall; Joseph Davidson; Kelly Payette; Jordina Aviles Verdera; Irina Grigorescu; Joseph V. Hajnal; Maria Deprez; Michael Aertsen; et al. (PIPPI@MICCAI, 2024)

Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration. - Irina Grigorescu; Alena Uus; Daan Christiaens; Lucilio Cordero-Grande; Jana Hutter; Dafnis Batalle; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (WBIR, 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)

A flexible generative algorithm for growing in silico placentas. - Diana C. de Oliveira; Hani Cheikh Sleiman; Kelly Payette; Jana Hutter; Lisa Story; Joseph V. Hajnal; Daniel C. Alexander; Rebecca J. Shipley; Paddy J. Slator (PLoS Comput. Biol., 2024)

Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. - Jacqueline Matthew; Alena Uus; Leah De Souza; Robert Wright; Abi Fukami-Gartner; Gema Priego; Carlo Saija; Maria Deprez; Alexia Egloff Collado; Jana Hutter; Lisa Story; Christina Malamateniou; et al. (BMC Medical Imaging, 2024)

Fetal body organ T2* relaxometry at low field strength (FOREST). - Kelly Payette; Alena Uus; Jordina Aviles Verdera; Megan Hall; Alexia Egloff; Maria Deprez; Raphaël Tomi-Tricot; Joseph V. Hajnal; Mary A. Rutherford; Lisa Story; Jana Hutter (Medical Image Anal., 2025)

Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. - Lorenzo Venturini; Samuel Budd; Alfonso Farruggia; Robert Wright; Jacqueline Matthew; Thomas G. Day; Bernhard Kainz; Reza Razavi; Joseph V. Hajnal (npj Digit. Medicine, 2025)

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation. - Johanna P. Müller; Robert Wright; Thomas G. Day; Lorenzo Venturini; Samuel Budd; Hadrien Reynaud; Joseph V. Hajnal; Reza Razavi; Bernhard Kainz (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)