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)

Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). - Philip J. Edwards; Andrew P. King; Calvin R. Maurer Jr.; Darryl A. de Cunha; David J. Hawkes; Derek L. G. Hill; Ronald P. Gaston; Michael R. Fenlon; Subhash Chandra; Anthony J. Strong; Christopher L. Chandler; Aurelia Richards; et al. (MICCAI, 1999)

Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound. - Andrew P. King; Jane M. Blackall; Graeme P. Penney; Philip J. Edwards; Derek L. G. Hill; David J. Hawkes (MICCAI, 2000)

Stereo Augmented Reality in the Surgical Microscope. - Andrew P. King; Philip J. Edwards; Calvin R. Maurer Jr.; Darryl A. de Cunha; Ronald P. Gaston; Matthew J. Clarkson; Derek L. G. Hill; David J. Hawkes; Michael R. Fenlon; Anthony J. Strong; Tim C. S. Cox; Michael J. Gleeson (Presence Teleoperators Virtual Environ., 2000)

Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). - Philip J. Edwards; Andrew P. King; Calvin R. Maurer Jr.; Darryl A. de Cunha; David J. Hawkes; Derek L. G. Hill; Ronald P. Gaston; Michael R. Fenlon; A. Jusczyzck; Anthony J. Strong; Christopher L. Chandler; Michael J. Gleeson (IEEE Trans. Medical Imaging, 2000)

Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound. - Andrew P. King; Philipp G. Batchelor; Graeme P. Penney; Jane M. Blackall; Derek L. G. Hill; David J. Hawkes (IPMI, 2001)

A Statistical Model of Respiratory Motion and Deformation of the Liver. - Jane M. Blackall; Andrew P. King; Graeme P. Penney; Andreas N. Adam; David J. Hawkes (MICCAI, 2001)

A Stochastic Iterative Closest Point Algorithm (stochastICP). - Graeme P. Penney; Philip J. Edwards; Andrew P. King; Jane M. Blackall; Philipp G. Batchelor; David J. Hawkes (MICCAI, 2001)

Tracking alignment of sparse ultrasound with preoperative images of the liver and an interventional plan using models of respiratory motion and deformation. - Jane M. Blackall; Graeme P. Penney; Andrew P. King; Andreas N. Adam; David J. Hawkes (Image-Guided Procedures, 2004)

Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation. - Jane M. Blackall; Graeme P. Penney; Andrew P. King; David J. Hawkes (IEEE Trans. Medical Imaging, 2005)

Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging. - Phani Chinchapatnam; Kawal S. Rhode; Andrew P. King; Gang Gao; YingLiang Ma; Tobias Schaeffter; David J. Hawkes; Reza Razavi; Derek L. G. Hill; Simon R. Arridge; Maxime Sermesant (MICCAI (1), 2007)

Model-based respiratory motion correction using 3-D echocardiography. - Andrew P. King; Christian Jansen; Redha Boubertakh; Kawal S. Rhode; Reza Razavi; Graeme P. Penney (ISBI, 2008)

Validation of the use of photogrammetry to register pre-procedure MR images to intra-procedure patient position for image-guided cardiac catheterization procedures. - Gang Gao; Segolene Tarte; Andy P. King; YingLiang Ma; Phani Chinchapatnam; Tobias Schaeffter; Reza Razavi; Dave Hawkes 001; Derek L. G. Hill; Kawal S. Rhode (Image-Guided Procedures, 2008)

A technique for respiratory motion correction in image guided cardiac catheterisation procedures. - Andrew P. King; Redha Boubertakh; K. L. Ng; YingLiang Ma; Phani Chinchapatnam; Gang Gao; Tobias Schaeffter; David J. Hawkes; Reza Razavi; Kawal S. Rhode (Image-Guided Procedures, 2008)

Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures. - YingLiang Ma; Kawal S. Rhode; Gang Gao; Andrew P. King; Phani Chinchapatnam; Tobias Schaeffter; David J. Hawkes; Reza Razavi; Graeme P. Penney (Image-Guided Procedures, 2008)

Evaluation of the use of multimodality skin markers for the registration of pre-procedure cardiac MR images and intra-procedure x-ray fluoroscopy images for image guided cardiac electrophysiology procedures. - Kawal S. Rhode; YingLiang Ma; Angela Chandrasena; Andrew P. King; Gang Gao; Phani Chinchapatnam; Maxime Sermesant; David J. Hawkes; Tobias Schaeffter; Jaswinder S. Gill; Reza Razavi (Image-Guided Procedures, 2008)

A novel framework for multi-modal intensity-based similarity measures based on internal similarity. - Graeme P. Penney; Lewis D. Griffin; Andrew P. King; David J. Hawkes (Image Processing, 2008)

Time-varying Image Data Visualization Framework for Application in Cardiac Catheterization Procedures. - YingLiang Ma; Kawal S. Rhode; Andy P. King; Gang Gao; Phani Chinchapatnam; Tobias Schaeffter; Reza Razavi; Kurt Saetzler (TPCG, 2008)

Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model. - Andrew P. King; YingLiang Ma; Cheng Yao; Christian Jansen; Reza Razavi; Kawal S. Rhode; Graeme P. Penney (IPMI, 2009)

Echocardiography to magnetic resonance image registration for use in image-guide electrophysiology procedures. - YingLiang Ma; Kawal S. Rhode; Andrew P. King; Dennis Caulfield; Michael Cooklin; Reza Razavi; Graeme P. Penney (Image-Guided Procedures, 2009)

A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures. - Andrew P. King; Redha Boubertakh; Kawal S. Rhode; YingLiang Ma; Phani Chinchapatnam; Gang Gao; T. Tangcharoen; Matthew Ginks; Michael Cooklin; Jaswinder S. Gill; David J. Hawkes; Reza Razavi; et al. (Medical Image Anal., 2009)

An Adaptive and Predictive Respiratory Motion Model for Image-Guided Interventions: Theory and First Clinical Application. - Andrew P. King; Kawal S. Rhode; Reza Razavi; Tobias Schaeffter (IEEE Trans. Medical Imaging, 2009)

Hierarchical adaptive local affine registration for respiratory motion estimation from 3-D MRI. - Christian Buerger; Tobias Schaeffter; Andrew P. King (ISBI, 2010)

Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking. - YingLiang Ma; Andrew P. King; Nicolas Gogin; C. Aldo Rinaldi; Jaswinder S. Gill; Reza Razavi; Kawal S. Rhode (MICCAI (1), 2010)

Cardiac Respiratory Motion Modelling by Simultaneous Registration and Modelling from Dynamic MRI Images. - Andrew P. King; Christian Buerger; Tobias Schaeffter (WBIR, 2010)

Respiratory motion correction for image-guided cardiac interventions using 3-D echocardiography. - Andrew P. King; Christian Jansen; Kawal S. Rhode; Dennis Caulfield; Reza Razavi; Graeme P. Penney (Medical Image Anal., 2010)

Registering Preprocedure Volumetric Images With Intraprocedure 3-D Ultrasound Using an Ultrasound Imaging Model. - Andrew P. King; Kawal S. Rhode; YingLiang Ma; Cheng Yao; Christian Jansen; Reza Razavi; Graeme P. Penney (IEEE Trans. Medical Imaging, 2010)

Comparing Image-Based Respiratory Motion Correction Methods for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures. - YingLiang Ma; Andy P. King; Nicolas Gogin; Geert Gijsbers; C. Aldo Rinaldi; Jaswinder S. Gill; Reza Razavi; Kawal S. Rhode (FIMH, 2011)

Assessment of input signal positioning for cardiac respiratory motion models during different breathing patterns. - F. Savill; Tobias Schaeffter; Andrew P. King (ISBI, 2011)

Capturing breathing motion variability using two signal motion models of the heart. - Nicholas McGlashan; Andrew P. King (MIUA, 2011)

Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation. - Christian Buerger; Tobias Schaeffter; Andrew P. King (Medical Image Anal., 2011)

3D Medical Imaging. - Philip G. Batchelor; P. J. Eddie Edwards; Andrew P. King (3D Imaging, Analysis and Applications, 2012)

Automatic image-based retrospective gating of interventional cardiac X-ray images. - Maria Panayiotou; Andrew P. King; YingLiang Ma; C. Aldo Rinaldi; Jaspal Gill; Michael Cooklin; Mark D. O'Neill; Kawal S. Rhode (EMBC, 2012)

Estimating and resolving uncertainty in cardiac respiratory motion modelling. - Devis Peressutti; Erik-Jan Rijkhorst; Dean C. Barratt; Graeme P. Penney; Andy P. King (ISBI, 2012)

Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator. - Andrew P. King; Christian Buerger; Charalampos Tsoumpas; Paul K. Marsden; Tobias Schaeffter (Medical Image Anal., 2012)

Clinical Evaluation of Respiratory Motion Compensation for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures. - YingLiang Ma; Andy P. King; Nicolas Gogin; Geert Gijsbers; C. Aldo Rinaldi; Jaswinder S. Gill; Reza Razavi; Kawal S. Rhode (IEEE Trans. Biomed. Eng., 2012)

Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI. - Christian Buerger; Rachel E. Clough; Andrew P. King; Tobias Schaeffter; Claudia Prieto (IEEE Trans. Medical Imaging, 2012)

Three-Modality Registration for Guidance of Minimally Invasive Cardiac Interventions. - Richard James Housden; Mandeep Basra; YingLiang Ma; Andrew P. King; Roland Bullens; Nick Child; Jaswinder S. Gill; C. Aldo Rinaldi; Victoria Parish; Kawal S. Rhode (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)

A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. - Devis Peressutti; Graeme P. Penney; Christoph Kolbitsch; Richard James Housden; Alberto Gómez 002; Kawal S. Rhode; Andrew P. King (ISBI, 2013)

Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning. - Maria Panayiotou; Andrew P. King; Kanwal K. Bhatia; Richard James Housden; YingLiang Ma; C. Aldo Rinaldi; Jaswinder S. Gill; Michael Cooklin; Mark D. O'Neill; Kawal S. Rhode (STACOM, 2013)

Respiratory motion models: A review. - Jamie McClelland; David J. Hawkes; Tobias Schaeffter; Andrew P. King (Medical Image Anal., 2013)

A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. - Devis Peressutti; Graeme P. Penney; Richard James Housden; Christoph Kolbitsch; Alberto Gómez 002; Erik-Jan Rijkhorst; Dean C. Barratt; Kawal S. Rhode; Andrew P. King (Medical Image Anal., 2013)

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

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

Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures. - Maria Panayiotou; Andrew P. King; Richard James Housden; YingLiang Ma; Michael V. Truong; Michael Cooklin; Mark D. O'Neill; Jaswinder S. Gill; C. Aldo Rinaldi; Kawal S. Rhode (STACOM, 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)

Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. - Devis Peressutti; Graeme P. Penney; Christoph Kolbitsch; Andrew P. King (Medical Image Anal., 2014)

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)

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)

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)

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)

Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration. - Mazen Alhrishy; Andreas Varnavas; Alexis Guyot; Tom Carrell; Andrew P. King; Graeme P. Penney (Image Processing, 2015)

Respiratory Motion Modelling Using Supervised Principal Component Analysis. - Woo-Jin Cho Kim; Andrew P. King; Devis Peressutti (MIUA, 2015)

Interventional digital tomosynthesis from a standard fluoroscopy system using 2D-3D registration. - Mazen Alhrishy; Andreas Varnavas; Tom Carrell; Andrew P. King; Graeme P. Penney (Medical Image Anal., 2015)

Towards a multimodal cardiac motion atlas. - Esther Puyol-Antón; Devis Peressutti; Paul Aljabar; Mathieu De Craene; Paolo Piro; Andrew P. King (ISBI, 2016)

Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment. - Xin Chen 003; Muhammad Usman 014; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (MICCAI (3), 2016)

Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images. - Maria Panayiotou; Devis Peressutti; Andrew P. King; Kawal S. Rhode; Richard James Housden (STACOM@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)

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)

Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. - Xin Chen 003; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (MICCAI (2), 2017)

Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. - Esther Puyol-Antón; Matthew Sinclair; Bernhard Gerber; Mihaela Silvia Amzulescu; Hélène Langet; Mathieu De Craene; Paul Aljabar; Julia A. Schnabel; Paolo Piro; Andrew P. King (STACOM@MICCAI, 2017)

Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. - Bram Ruijsink; Esther Puyol-Antón; Muhammad Usman 014; Joshua van Amerom; Phuoc Duong; Mari Nieves Velasco Forte; Kuberan Pushparajah; Alessandra Frigiola; David A. Nordsletten; Andrew P. King; Reza Razavi (CMMI/RAMBO/SWITCH@MICCAI, 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)

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)

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)

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. - Esther Puyol-Antón; Matthew Sinclair; Bernhard Gerber; Mihaela Silvia Amzulescu; Hélène Langet; Mathieu De Craene; Paul Aljabar; Paolo Piro; Andrew P. King (Medical Image Anal., 2017)

Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric. - Devis Peressutti; Alberto Gómez 002; Graeme P. Penney; Andrew P. King (IEEE Trans. Biomed. Eng., 2017)

High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment. - Xin Chen 003; Muhammad Usman 014; Christian F. Baumgartner; Daniel R. Balfour; Paul K. Marsden; Andrew J. Reader; Claudia Prieto; Andrew P. King (IEEE Trans. Medical Imaging, 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)

PET-MR respiratory signal estimation using semi-supervised manifold alignment. - Daniel R. Balfour; James R. Clough; Xin Chen 003; Martin A. Belzunce; Claudia Prieto; Paul K. Marsden; Andrew J. Reader; Andrew P. King (ISBI, 2018)

MRI slice stacking using manifold alignment and wave kernel signatures. - James R. Clough; Daniel R. Balfour; Paul K. Marsden; Claudia Prieto; Andrew J. Reader; Andrew P. King (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)

Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. - Esther Puyol-Antón; Bram Ruijsink; Wenjia Bai; Hélène Langet; Mathieu De Craene; Julia A. Schnabel; Paolo Piro; Andrew P. King; Matthew Sinclair (ISBI, 2018)

Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. - James R. Clough; Daniel R. Balfour; Claudia Prieto; Andrew J. Reader; Paul K. Marsden; Andrew P. King (MLCN/DLF/iMIMIC@MICCAI, 2018)

Left-Ventricle Quantification Using Residual U-Net. - Eric Kerfoot; James R. Clough; Ilkay Öksüz; Jack Lee; Andrew P. King; Julia A. Schnabel (STACOM@MICCAI, 2018)

Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. - Eric Kerfoot; Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Andrew P. King; Julia A. Schnabel (RAMBO+BIA+TIA@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)

Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. - Esther Puyol-Antón; Bram Ruijsink; Hélène Langet; Mathieu De Craene; Paolo Piro; Julia A. Schnabel; Andrew P. King (STACOM@MICCAI, 2018)

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Lisa M. Koch; Andrew P. King; Ender Konukoglu; Marc Pollefeys (ShapeMI@MICCAI, 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)

Mechanically Powered Motion Imaging Phantoms: Proof of Concept. - Alberto Gómez 002; Cornelia Schmitz; Markus Henningsson; James Housden; Yohan Noh; Veronika A. Zimmer; James R. Clough; Ilkay Öksüz; Nicolas Toussaint; Andrew P. King; Julia A. Schnabel (EMBC, 2019)

Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Ilkay Öksüz; Nicholas Byrne; Julia A. Schnabel; Andrew P. King (IPMI, 2019)

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. - Ilkay Öksüz; Gastão Cruz; James R. Clough; Aurélien Bustin; Nicolo Fuin; René M. Botnar; Claudia Prieto; Andrew P. King; Julia A. Schnabel (ISBI, 2019)

Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (SUSI/PIPPI@MICCAI, 2019)

Global and Local Interpretability for Cardiac MRI Classification. - James R. Clough; Ilkay Öksüz; Esther Puyol-Antón; Bram Ruijsink; Andrew P. King; Julia A. Schnabel (MICCAI (4), 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)

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)

High-quality segmentation of low quality cardiac MR images using k-space artefact correction. - Ilkay Öksüz; James R. Clough; Wenjia Bai; Bram Ruijsink; Esther Puyol-Antón; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (MIDL, 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)

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)

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)

Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. - Esther Puyol-Antón; Bram Ruijsink; Bernhard Gerber; Mihaela Silvia Amzulescu; Hélène Langet; Mathieu De Craene; Julia A. Schnabel; Paolo Piro; Andrew P. King (IEEE Trans. Biomed. Eng., 2019)

Transitivity Types Predict Communicative Abilities in Infants at Risk of Autism*. - Rebekka Schleier; Jana M. Iverson; Andrew P. King; Meredith J. West (J. Soc. Struct., 2019)

Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol. - Marta Varela; Sandro F. Queirós; Mustafa Anjari; Teresa Correia; Andrew P. King; Anil A. Bharath; Jack Lee (EMBC, 2020)

A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. - Nick Byrne; James R. Clough; Giovanni Montana; Andrew P. King (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. - Ana Lourenço; Eric Kerfoot; Connor Dibblin; Ebraham Alskaf; Mustafa Anjari; Anil A. Bharath; Andrew P. King; Henry Chubb; Teresa Correia; Marta Varela (M&Ms and EMIDEC/STACOM@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)

Quality-Aware Semi-supervised Learning for CMR Segmentation. - Bram Ruijsink; Esther Puyol-Antón; Ye Li; Wenjia Bai; Eric Kerfoot; Reza Razavi; Andrew P. King (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Probabilistic 3D Surface Reconstruction from Sparse MRI Information. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Andrew P. King; Marc Pollefeys; Ender Konukoglu (MICCAI (1), 2020)

Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. - Zhen Yuan; Esther Puyol-Antón; Haran Jogeesvaran; Catriona Reid; Baba Inusa; Andrew P. King (ASMUS/PIPPI@MICCAI, 2020)

In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning. - Sofia Monaci; Marina Strocchi; Cristóbal Rodero; Karli Gillette; John Whitaker; Ronak Rajani; Christopher A. Rinaldi; Mark D. O'Neill; Gernot Plank; Andrew P. King; Martin J. Bishop 001 (Comput. Biol. Medicine, 2020)

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. - Esther Puyol-Antón; Bram Ruijsink; Christian F. Baumgartner; Matthew Sinclair; Ender Konukoglu; Reza Razavi; Andrew P. King (CoRR, 2020)

Channel Attention Networks for Robust MR Fingerprinting Matching. - Refik Soyak; Ebru Navruz; Eda Ozgu Ersoy; Gastão Cruz; Claudia Prieto; Andrew P. King; Devrim Ünay; Ilkay Öksüz (CoRR, 2020)

Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. - James R. Clough; Daniel R. Balfour; Gastão Cruz; Paul K. Marsden; Claudia Prieto; Andrew J. Reader; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2020)

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. - Esther Puyol-Antón; Bram Ruijsink; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Reza Razavi; Andrew P. King (MICCAI (3), 2021)

Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance. - Dewmini Hasara Wickremasinghe; Natallia Khenkina; Pier-Giorgio Masci; Andrew P. King; Esther Puyol-Antón (MIUA, 2021)

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. - Tareen Dawood; Chen Chen 042; Robin Andlauer; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; C. Aldo Rinaldi; Esther Puyol-Antón; Reza Razavi; et al. (STACOM@MICCAI, 2021)

Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. - Jorge Mariscal Harana; Naomi Kifle; Reza Razavi; Andrew P. King; Bram Ruijsink; Esther Puyol-Antón (STACOM@MICCAI, 2021)

Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. - Inês Machado; Esther Puyol-Antón; Kerstin Hammernik; Gastão Cruz; Devran Ugurlu; Bram Ruijsink; Miguel Castelo-Branco; Alistair A. Young; Claudia Prieto; Julia A. Schnabel; Andrew P. King (STACOM@MICCAI, 2021)

The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. - Devran Ugurlu; Esther Puyol-Antón; Bram Ruijsink; Alistair A. Young; Inês Machado; Kerstin Hammernik; Andrew P. King; Julia A. Schnabel (STACOM@MICCAI, 2021)

Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech. - Matthieu Ruthven; Marc E. Miquel; Andrew P. King (Comput. Methods Programs Biomed., 2021)

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. - Nick Byrne; James R. Clough; Isra Valverde; Giovanni Montana; Andrew P. King (CoRR, 2021)

Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations. - Christopher J. Arthurs; Andrew P. King (J. Comput. Phys., 2021)

Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation. - Shaheim Ogbomo-Harmitt; Ahmed Qureshi; Andrew P. King; Oleg V. Aslanidi (CinC, 2022)

Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI. - Paula Ramirez Gilliland; Alena Uus; Milou P. M. van Poppel; Irina Grigorescu; Johannes K. Steinweg; David F. A. Lloyd; Kuberan Pushparajah; Andrew P. King; Maria Deprez (PIPPI@MICCAI, 2022)

Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning. - Laia Humbert-Vidan; Vinod Patel; Robin Andlauer; Andrew P. King; Teresa Guerrero Urbano (AMAI@MICCAI, 2022)

A Study of Demographic Bias in CNN-Based Brain MR Segmentation. - Stefanos Ioannou; Hana Chockler; Alexander Hammers; Andrew P. King (MLCN@MICCAI, 2022)

Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. - Germain Morilhat; Naomi Kifle; Sandra FinesilverSmith; Bram Ruijsink; Vittoria Vergani; Habtamu Tegegne Desita; Zerubabel Tegegne Desita; Esther Puyol-Antón; Aaron Carass; Andrew P. King (DeCaF/FAIR@MICCAI, 2022)

TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium. - Shaheim Ogbomo-Harmitt; Jakub Grzelak; Ahmed Qureshi; Andrew P. King; Oleg V. Aslanidi (LAScarQS@MICCAI, 2022)

AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. - Esther Puyol-Antón; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Haotian Gu; Christopher A. Rinaldi; Martin R. Cowie; Philip J. Chowienczyk; Reza Razavi; et al. (ASMUS@MICCAI, 2022)

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. - Emily Chan; Ciaran O'Hanlon; Carlota Asegurado Marquez; Marwenie Petalcorin; Jorge Mariscal Harana; Haotian Gu; Raymond J. Kim; Robert M. Judd; Philip J. Chowienczyk; Julia A. Schnabel; Reza Razavi; Andrew P. King; et al. (STACOM@MICCAI, 2022)

A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Miaojing Shi; Andrew P. King (STACOM@MICCAI, 2022)

Deep learning-based quality-controlled spleen assessment from ultrasound images. - Zhen Yuan; Esther Puyol-Antón; Haran Jogeesvaran; Nicola Smith; Baba Inusa; Andrew P. King (Biomed. Signal Process. Control., 2022)

AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. - Esther Puyol-Antón; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Haotian Gu; Miguel Xochicale; Alberto Gómez 002; Christopher A. Rinaldi; Martin R. Cowie; et al. (CoRR, 2022)

Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. - Jorge Mariscal Harana; Clint Asher; Vittoria Vergani; Maleeha Rizvi; Louise Keehn; Raymond J. Kim; Robert M. Judd; Steffen E. Petersen; Reza Razavi; Andrew P. King; Bram Ruijsink; Esther Puyol-Antón (CoRR, 2022)

A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries. - Miguel Xochicale; Louise Thwaites; Sophie Yacoub; Luigi Pisani; Phung Tran Huy Nhat; Hamideh Kerdegari; Andrew P. King; Alberto Gómez 002 (CoRR, 2022)

A multimodal deep learning model for cardiac resynchronisation therapy response prediction. - Esther Puyol-Antón; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Andrew P. King (Medical Image Anal., 2022)

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. - James R. Clough; Nicholas Byrne; Ilkay Öksüz; Veronika A. Zimmer; Julia A. Schnabel; Andrew P. King (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Channel Attention Networks for Robust MR Fingerprint Matching. - Refik Soyak; Ebru Navruz; Eda Ozgu Ersoy; Gastão Cruz; Claudia Prieto; Andrew P. King; Devrim Ünay; Ilkay Öksüz (IEEE Trans. Biomed. Eng., 2022)

Analysis of Non-imaging Data. - Nicolas Duchateau; Oscar Camara 001; Rafael Sebastián; Andrew P. King (AI and Big Data in Cardiology, 2023)

AI and Machine Learning: The Basics. - Nicolas Duchateau; Esther Puyol-Antón; Bram Ruijsink; Andrew P. King (AI and Big Data in Cardiology, 2023)

Introduction. - Andrew P. King; Nicolas Duchateau (AI and Big Data in Cardiology, 2023)

Conclusions. - Andrew P. King; Nicolas Duchateau (AI and Big Data in Cardiology, 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)

An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. - Mohamed Huti; Tiarna Lee; Elinor Sawyer; Andrew P. King (CLIP/FAIMI/EPIMI@MICCAI, 2023)

An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Keana Aitcheson; Miaojing Shi; Andrew P. King (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. - Tareen Dawood; Emily Chan; Reza Razavi; Andrew P. King; Esther Puyol-Antón (ISBI, 2023)

Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling. - Paula Ramirez Gilliland; Uxio Hermida; Alena Uus; Milou P. M. van Poppel; Irina Grigorescu; Johannes K. Steinweg; David F. A. Lloyd; Kuberan Pushparajah; Adelaide de Vecchi; Andrew P. King; Pablo Lamata; Maria Deprez (PIPPI@MICCAI, 2023)

Automatic Retrieval of Corresponding US Views in Longitudinal Examinations. - Hamideh Kerdegari; Tran Huy Nhat Phung; Nguyen Van Hao; Thi Phuong Thao Truong; Ngoc Minh Thu Le; Thanh Phuong Le; Thi Mai Thao Le; Luigi Pisani; Linda Denehy; Reza Razavi; Louise Thwaites; Sophie Yacoub; et al. (MICCAI (1), 2023)

Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation. - Shaheim Ogbomo-Harmitt; George Obada; Nele Vandersickel; Andrew P. King; Oleg V. Aslanidi (STACOM@MICCAI, 2023)

A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech. - Matthieu Ruthven; Marc E. Miquel; Andrew P. King (Biomed. Signal Process. Control., 2023)

Automatic retrieval of corresponding US views in longitudinal examinations. - Hamideh Kerdegari; Tran Huy Nhat Phung; Nguyen Van Hao; Thi Phuong Thao Truong; Ngoc Minh Thu Le; Thanh Phuong Le; Thi Mai Thao Le; Luigi Pisani; Linda Denehy; VITAL Consortium; Reza Razavi; Louise Thwaites; et al. (CoRR, 2023)

Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views. - Zhen Yuan; Esther Puyol-Antón; Haran Jogeesvaran; Baba Inusa; Andrew P. King (CoRR, 2023)

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhua; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (CoRR, 2023)

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI. - Paula Ramirez Gilliland; Alena Uus; Milou P. M. van Poppel; Irina Grigorescu; Johannes K. Steinweg; David F. A. Lloyd; Kuberan Pushparajah; Andrew P. King; Maria Deprez (CoRR, 2023)

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. - Nick Byrne; James R. Clough; Israel Valverde; Giovanni Montana; Andrew P. King (IEEE Trans. Medical Imaging, 2023)

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (Medical Image Anal., 2023)

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. - Iman Islam; Esther Puyol-Antón; Bram Ruijsink; Andrew J. Reader; Andrew P. King (ASMUS@MICCAI, 2024)

Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation. - Dewmini Hasara Wickremasinghe; Yiyang Xu; Esther Puyol-Antón; Paul Aljabar; Reza Razavi; Andrew P. King (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. - Tareen Dawood; Bram Ruijsink; Reza Razavi; Andrew P. King; Esther Puyol-Antón (CoRR, 2024)

An investigation into the causes of race bias in AI-based cine CMR segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Sebastien Roujol; Theodore Barfoot; Shaheim Ogbomo-Harmitt; Miaojing Shi; Andrew P. King (CoRR, 2024)

DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images. - Zhen Yuan; David Stojanovski; Lei Li 020; Alberto Gómez 002; Haran Jogeesvaran; Esther Puyol-Antón; Baba Inusa; Andrew P. King (CoRR, 2024)

Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling. - George Webber; Yuya Mizuno; Oliver D. Howes; Alexander Hammers; Andrew P. King; Andrew J. Reader (CoRR, 2024)

Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction. - George Webber; Yuya Mizuno; Oliver D. Howes; Alexander Hammers; Andrew P. King; Andrew J. Reader (CoRR, 2024)

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction. - George Webber; Yuya Mizuno; Oliver D. Howes; Alexander Hammers; Andrew P. King; Andrew J. Reader (CoRR, 2024)

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. - Inês Machado; Esther Puyol-Antón; Kerstin Hammernik; Gastão Cruz; Devran Ugurlu; Ihsane Olakorede; Ilkay Öksüz; Bram Ruijsink; Miguel Castelo-Branco; Alistair A. Young; Claudia Prieto; Julia A. Schnabel; et al. (IEEE Trans. Biomed. Eng., 2024)

DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images. - Zhen Yuan; David Stojanovski; Lei Li 020; Alberto Gómez 002; Haran Jogeesvaran; Esther Puyol-Antón; Baba Inusa; Andrew P. King (Medical Image Anal., 2025)

Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Miaojing Shi; Andrew P. King (CoRR, 2025)

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction. - George Webber; Alexander Hammers; Andrew P. King; Andrew J. Reader (CoRR, 2025)

Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging. - Mubaraq Yakubu; Navodini Wijethilake; Jonathan Shapey; Andrew P. King; Alexander Hammers (CoRR, 2025)

Supervised Diffusion-Model-Based PET Image Reconstruction. - George Webber; Alexander Hammers; Andrew P. King; Andrew J. Reader (CoRR, 2025)

Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction. - Zhennan Xiao; Katharine Brudkiewicz; Zhen Yuan; Rosalind Aughwane; Magdalena J. Sokolska; Joanna Chappell; Trevor Gaunt; Anna L. David; Andrew P. King; Andrew Melbourne (CoRR, 2025)

Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration. - Mubaraq Yakubu; Udunna Anazodo; Maruf Adewole; Theodore Barfoot; Tiarna Lee; Tom Vercauteren; Jonathan Shapey; Andrew P. King; Alexander Hammers (CoRR, 2025)