Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Georgios Tziritas; Nassir Navab (IPMI, 2007)

4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. - Ahmed Besbes; Nikos Komodakis; Ben Glocker; Georgios Tziritas; Nikos Paragios (ISVC (1), 2007)

Towards a computer-aided diagnosis system for colon motility dysfunctions. - Ben Glocker; Sonja Buhmann; Chlodwig Kirchhoff; Thomas Mussack; Maximilian Reiser; Nassir Navab (Computer-Aided Diagnosis, 2007)

Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Christian Glaser; Georgios Tziritas; Nassir Navab (MICCAI (2), 2007)

Effiziente nichtlineare Registrierung mittels diskreter Optimierung. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Georgios Tziritas; Nassir Navab (Bildverarbeitung für die Medizin, 2008)

Optical flow estimation with uncertainties through dynamic MRFs. - Ben Glocker; Nikos Paragios; Nikos Komodakis; Georgios Tziritas; Nassir Navab (CVPR, 2008)

Adaptive parametrization of multivariate B-splines for image registration. - Michael Sass Hansen; Rasmus Larsen 001; Ben Glocker; Nassir Navab (CVPR, 2008)

Computing minimal deformations: application to construction of statistical shape models. - Darko Zikic; Michael Sass Hansen; Ben Glocker; Ali Khamene; Rasmus Larsen 001; Nassir Navab (CVPR, 2008)

Deformable Mosaicing for Whole-Body MRI. - Christian Wachinger; Ben Glocker; Jochen Zeltner; Nikos Paragios; Nikos Komodakis; Michael Sass Hansen; Nassir Navab (MICCAI (2), 2008)

Real-time respiratory motion tracking: roadmap correction for hepatic artery catheterizations. - Selen Atasoy; Martin Groher; Darko Zikic; Ben Glocker; Tobias Waggershauser; Marcus Pfister; Nassir Navab (Image-Guided Procedures, 2008)

Dense image registration through MRFs and efficient linear programming. - Ben Glocker; Nikos Komodakis; Georgios Tziritas; Nassir Navab; Nikos Paragios (Medical Image Anal., 2008)

MRI Composing for Whole Body Imaging. - Ben Glocker; Christian Wachinger; Jochen Zeltner; Nikos Paragios; Nikos Komodakis; Michael Sass Hansen; Nassir Navab (Bildverarbeitung für die Medizin, 2009)

Discrete tracking of parametrized curves. - Tim Hauke Heibel; Ben Glocker; Martin Groher; Nikos Paragios; Nikos Komodakis; Nassir Navab (CVPR, 2009)

Dense Registration with Deformation Priors. - Ben Glocker; Nikos Komodakis; Nassir Navab; Georgios Tziritas; Nikos Paragios (IPMI, 2009)

Linear Image Registration Through MRF Optimization. - Ben Glocker; Darko Zikic; Nikos Komodakis; Nikos Paragios; Nassir Navab (ISBI, 2009)

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Nassir Navab (ISVC (1), 2009)

Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy. - Selen Atasoy; Ben Glocker; Stamatia Giannarou; Diana Mateus; Alexander Meining; Guang-Zhong Yang; Nassir Navab (MICCAI (1), 2009)

Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. - Aristeidis Sotiras; Nikos Komodakis; Ben Glocker; Jean-François Deux; Nikos Paragios (MICCAI (1), 2009)

Sphere extraction in MR images with application to whole-body MRI. - Christian Wachinger; Simon Baumann; Jochen Zeltner; Ben Glocker; Nassir Navab (Image Processing, 2009)

TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods. - Ben Glocker; Tim Hauke Heibel; Nassir Navab; Pushmeet Kohli; Carsten Rother (ECCV (3), 2010)

Needle tracking through higher-order MRF optimization. - Tim Hauke Heibel; Ben Glocker; Nikos Paragios; Nassir Navab (ISBI, 2010)

Simultaneous Geometric - Iconic Registration. - Aristeidis Sotiras; Yangming Ou; Ben Glocker; Christos Davatzikos; Nikos Paragios (MICCAI (2), 2010)

Markov random field optimization for intensity-based 2D-3D registration. - Darko Zikic; Ben Glocker; Oliver Kutter; Martin Groher; Nikos Komodakis; Ali Khamene; Nikos Paragios; Nassir Navab (Image Processing, 2010)

Linear intensity-based image registration by Markov random fields and discrete optimization. - Darko Zikic; Ben Glocker; Oliver Kutter; Martin Groher; Nikos Komodakis; Ali Kamen; Nikos Paragios; Nassir Navab (Medical Image Anal., 2010)

Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. - Olivier Pauly; Ben Glocker; Antonio Criminisi; Diana Mateus; Axel Martinez-Möller; Stephan G. Nekolla; Nassir Navab (MICCAI (3), 2011)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

Random fields for image registration. - Benjamin M. Glocker (2011)

Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. - Ben Glocker; Olivier Pauly; Ender Konukoglu; Antonio Criminisi (ECCV (4), 2012)

Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. - Ben Glocker; Johannes Feulner; Antonio Criminisi; David R. Haynor; Ender Konukoglu (MICCAI (3), 2012)

Neighbourhood Approximation Forests. - Ender Konukoglu; Ben Glocker; Darko Zikic; Antonio Criminisi (MICCAI (3), 2012)

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. - Darko Zikic; Ben Glocker; Ender Konukoglu; Antonio Criminisi; Çagatay Demiralp; Jamie Shotton; Owen M. Thomas; Tilak Das; Raj Jena; Stephen J. Price (MICCAI (3), 2012)

Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes. - Marco Feuerstein; Ben Glocker; Takayuki Kitasaka; Yoshihiko Nakamura; Shingo Iwano; Kensaku Mori (Medical Image Anal., 2012)

Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. - Ender Konukoglu; Ben Glocker; Dong Hye Ye; Antonio Criminisi; Kilian M. Pohl (IEEE Trans. Medical Imaging, 2012)

Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images. - Jamie Shotton; Ben Glocker; Christopher Zach; Shahram Izadi; Antonio Criminisi; Andrew W. Fitzgibbon (CVPR, 2013)

Real-time RGB-D camera relocalization. - Ben Glocker; Shahram Izadi; Jamie Shotton; Antonio Criminisi (ISMAR, 2013)

Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. - Ben Glocker; Darko Zikic; Ender Konukoglu; David R. Haynor; Antonio Criminisi (MICCAI (2), 2013)

Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? - Juan Eugenio Iglesias; Ender Konukoglu; Darko Zikic; Ben Glocker; Koen Van Leemput; Bruce Fischl (MICCAI (1), 2013)

Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. - Dong Hye Ye; Darko Zikic; Ben Glocker; Antonio Criminisi; Ender Konukoglu (MICCAI (1), 2013)

Atlas Encoding by Randomized Forests for Efficient Label Propagation. - Darko Zikic; Ben Glocker; Antonio Criminisi (MICCAI (3), 2013)

Neighbourhood approximation using randomized forests. - Ender Konukoglu; Ben Glocker; Darko Zikic; Antonio Criminisi (Medical Image Anal., 2013)

WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. - Ender Konukoglu; Ben Glocker; Antonio Criminisi; Kilian M. Pohl (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Interventional Tool Tracking Using Discrete Optimization. - Tim Hauke Heibel; Ben Glocker; Martin Groher; Marcus Pfister; Nassir Navab (IEEE Trans. Medical Imaging, 2013)

Multi-output Learning for Camera Relocalization. - Abner Guzmán-Rivera; Pushmeet Kohli; Ben Glocker; Jamie Shotton; Toby Sharp; Andrew W. Fitzgibbon; Shahram Izadi (CVPR, 2014)

Dense planar SLAM. - Renato F. Salas-Moreno; Ben Glocker; Paul H. J. Kelly; Andrew J. Davison (ISMAR, 2014)

Robust Registration of Longitudinal Spine CT. - Ben Glocker; Darko Zikic; David R. Haynor (MICCAI (1), 2014)

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos. - Peter Kontschieder; Jonas F. Dorn; Cecily Morrison; Robert Corish; Darko Zikic; Abigail Sellen; Marcus D'Souza; Christian P. Kamm; Jessica Burggraaff; Prejaas Tewarie; Thomas Vogel 004; Michela Azzarito; et al. (MICCAI (2), 2014)

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

Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios. - Darko Zikic; Ben Glocker; Antonio Criminisi (MCV, 2014)

Encoding atlases by randomized classification forests for efficient multi-atlas label propagation. - Darko Zikic; Ben Glocker; Antonio Criminisi (Medical Image Anal., 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)

Learning to detect and track cells for quantitative analysis of time-lapse microscopic image sequences. - Pedro D. Kostelec; Leo M. Carlin; Ben Glocker (ISBI, 2015)

Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. - David L. Richmond; Dagmar Kainmueller; Ben Glocker; Carsten Rother; Gene Myers (MICCAI (1), 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)

ElasticFusion: Dense SLAM Without A Pose Graph. - Thomas Whelan; Stefan Leutenegger; Renato F. Salas-Moreno; Ben Glocker; Andrew J. Davison (Robotics: Science and Systems, 2015)

Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces. - Samunda Perera; Nick Barnes; Xuming He 001; Shahram Izadi; Pushmeet Kohli; Ben Glocker (WACV, 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding. - Ben Glocker; Jamie Shotton; Antonio Criminisi; Shahram Izadi (IEEE Trans. Vis. Comput. Graph., 2015)

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

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

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

Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. - Ender Konukoglu; Ben Glocker (MCV/BAMBI@MICCAI, 2016)

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. - Lena Maier-Hein; Tobias Roß; Janek Gröhl; Ben Glocker; Sebastian Bodenstedt; Christian Stock; Eric Heim; Michael Götz; Sebastian J. Wirkert; Hannes Kenngott; Stefanie Speidel; Klaus H. Maier-Hein (MICCAI (2), 2016)

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

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

Accuracy Estimation for Medical Image Registration Using Regression Forests. - Hessam Sokooti; Gorkem Saygili; Ben Glocker; Boudewijn P. F. Lelieveldt; Marius Staring (MICCAI (3), 2016)

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

ElasticFusion: Real-time dense SLAM and light source estimation. - Thomas Whelan; Renato F. Salas-Moreno; Ben Glocker; Andrew J. Davison; Stefan Leutenegger (Int. J. Robotics Res., 2016)

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. - Ben Glocker; Nikos Paragios; Ramin Zabih (Medical Image Anal., 2016)

(Hyper)-graphical models in biomedical image analysis. - Nikos Paragios; Enzo Ferrante; Ben Glocker; Nikos Komodakis; Sarah Parisot; Evangelia I. Zacharaki (Medical Image Anal., 2016)

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

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

Efficient variational Bayesian neural network ensembles for outlier detection. - Nick Pawlowski; Miguel Jaques; Ben Glocker (ICLR (Workshop), 2017)

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

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)

Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features. - Dimitrios Damopoulos; Ben Glocker; Guoyan Zheng (MSKI@MICCAI, 2017)

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

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

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

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

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

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

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

SubCMap: Subject and Condition Specific Effect Maps. - Ender Konukoglu; Ben Glocker (CoRR, 2017)

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

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

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

Implicit Weight Uncertainty in Neural Networks. - Nick Pawlowski; Martin Rajchl; Ben Glocker (CoRR, 2017)

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

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

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. - Oskar Maier; Bjoern H. Menze; Janina von der Gablentz; Levin Häni; Mattias P. Heinrich; Matthias Liebrand; Stefan Winzeck; Abdul Basit 007; Paul Bentley; Liang Chen 018; Daan Christiaens; Francis Dutil; et al. (Medical Image Anal., 2017)

Robust guidewire tracking under large deformations combining segment-like features (SEGlets). - Alessandro Vandini; Ben Glocker; Mohamad Hamady; Guang-Zhong Yang (Medical Image Anal., 2017)

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. - Guoyan Zheng; Chengwen Chu; Daniel L. Belavy; Bulat Ibragimov; Robert Korez; Tomaz Vrtovec; Hugo Hutt; Richard M. Everson; Judith Meakin; Isabel Lopez Andrade; Ben Glocker; Hao Chen 011; et al. (Medical Image Anal., 2017)

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

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

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

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

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

Unified Tracking and Shape Estimation for Concentric Tube Robots. - Alessandro Vandini; Christos Bergeles; Ben Glocker; Petros Giataganas; Guang-Zhong Yang (IEEE Trans. Robotics, 2017)

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

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

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

Nonparametric Density Flows for MRI Intensity Normalisation. - Daniel Coelho de Castro; Ben Glocker (MICCAI (1), 2018)

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. - Enzo Ferrante; Ozan Oktay; Ben Glocker; Diego H. Milone (MLMI@MICCAI, 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)

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

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

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

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

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

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

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

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

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

Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. - Xiaoran Chen; Nick Pawlowski; Martin Rajchl; Ben Glocker; Ender Konukoglu (CoRR, 2018)

High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks. - Dimitrios Korkinof; Tobias Rijken; Michael O'Neill; Joseph Yearsley; Hugh Harvey; Ben Glocker (CoRR, 2018)

Towards continual learning in medical imaging. - Chaitanya Baweja; Ben Glocker; Konstantinos Kamnitsas (CoRR, 2018)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (CoRR, 2018)

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

Reconstructing subject-specific effect maps. - Ender Konukoglu; Ben Glocker (NeuroImage, 2018)

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

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)

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

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

Graph Convolutional Gaussian Processes. - Ian Walker; Ben Glocker (ICML, 2019)

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. - Loïc Le Folgoc; Daniel Coelho de Castro; Jeremy Tan; Bishesh Khanal; Konstantinos Kamnitsas; Ian Walker; Amir Alansary; Ben Glocker (IPMI, 2019)

Unsupervised Lesion Detection with Locally Gaussian Approximation. - Xiaoran Chen; Nick Pawlowski; Ben Glocker; Ender Konukoglu (MLMI@MICCAI, 2019)

Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. - Matthew C. H. Lee; Ozan Oktay; Andreas Schuh; Michiel Schaap; Ben Glocker (MICCAI (2), 2019)

Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. - Zeju Li; Konstantinos Kamnitsas; Ben Glocker (MICCAI (3), 2019)

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. - Martin Zlocha; Qi Dou 001; Ben Glocker (MICCAI (6), 2019)

Domain Generalization via Model-Agnostic Learning of Semantic Features. - Qi Dou 001; Daniel Coelho de Castro; Konstantinos Kamnitsas; Ben Glocker (NeurIPS, 2019)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (IEEE Access, 2019)

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

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. - M. Jorge Cardoso; Aasa Feragen; Ben Glocker; Ender Konukoglu; Ipek Oguz; Gozde B. Unal; Tom Vercauteren (CoRR, 2019)

Is Texture Predictive for Age and Sex in Brain MRI? - Nick Pawlowski; Ben Glocker (CoRR, 2019)

Needles in Haystacks: On Classifying Tiny Objects in Large Images. - Nick Pawlowski; Suvrat Bhooshan; Nicolas Ballas; Francesco Ciompi; Ben Glocker; Michal Drozdzal (CoRR, 2019)

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. - Ben Glocker; Robert Robinson; Daniel Coelho de Castro; Qi Dou 001; Ender Konukoglu (CoRR, 2019)

Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations. - James McCouat; Ben Glocker (CoRR, 2019)

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (CoRR, 2019)

Causality matters in medical imaging. - Daniel Coelho de Castro; Ian Walker; Ben Glocker (CoRR, 2019)

Special Issue on Machine Vision. - Tae-Kyun Kim 001; Stefanos Zafeiriou; Ben Glocker; Stefan Leutenegger (Int. J. Comput. Vis., 2019)

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. - Daniel Coelho de Castro; Jeremy Tan; Bernhard Kainz; Ender Konukoglu; Ben Glocker (J. Mach. Learn. Res., 2019)

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

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

Quantitative error prediction of medical image registration using regression forests. - Hessam Sokooti; Gorkem Saygili; Ben Glocker; Boudewijn P. F. Lelieveldt; Marius Staring (Medical Image Anal., 2019)

TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. - Matthew C. H. Lee; Kersten Petersen; Nick Pawlowski; Ben Glocker; Michiel Schaap (IEEE Trans. Medical Imaging, 2019)

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

Image Registration via Stochastic Gradient Markov Chain Monte Carlo. - Daniel Grzech; Bernhard Kainz; Ben Glocker; Loïc Le Folgoc (UNSURE/GRAIL@MICCAI, 2020)

Cranial Implant Design via Virtual Craniectomy with Shape Priors. - Franco Matzkin; Virginia F. J. Newcombe; Ben Glocker; Enzo Ferrante (AutoImplant@MICCAI, 2020)

Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. - Franco Matzkin; Virginia F. J. Newcombe; Susan Stevenson; Aneesh Khetani; Tom Newman; Richard Digby; Andrew Stevens; Ben Glocker; Enzo Ferrante (MICCAI (2), 2020)

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

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

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. - Miguel Monteiro; Loïc Le Folgoc; Daniel Coelho de Castro; Nick Pawlowski; Bernardo Marques; Konstantinos Kamnitsas; Mark van der Wilk; Ben Glocker (NeurIPS, 2020)

Deep Structural Causal Models for Tractable Counterfactual Inference. - Nick Pawlowski; Daniel Coelho de Castro; Ben Glocker (NeurIPS, 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

Bayesian Sampling Bias Correction: Training with the Right Loss Function. - Loïc Le Folgoc; Vasileios Baltatzis; Amir Alansary; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Fahdi Kanavati; Arjun Nair; Julia A. Schnabel; Ben Glocker (CoRR, 2020)

Hierarchical Gaussian Processes with Wasserstein-2 Kernels. - Sebastian Popescu; David J. Sharp; James H. Cole; Ben Glocker (CoRR, 2020)

Unpaired Multi-Modal Segmentation via Knowledge Distillation. - Qi Dou 001; Quande Liu; Pheng-Ann Heng; Ben Glocker (IEEE Trans. Medical Imaging, 2020)

Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders. - Agostina J. Larrazabal; César Ernesto Martínez; Ben Glocker; Enzo Ferrante (IEEE Trans. Medical Imaging, 2020)

Universal Adversarial Robustness of Texture and Shape-Biased Models. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (ICIP, 2021)

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. - Mobarakol Islam; Ben Glocker (IPMI, 2021)

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. - Sebastian G. Popescu; David J. Sharp; James H. Cole; Konstantinos Kamnitsas; Ben Glocker (IPMI, 2021)

Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. - Octavio E. Martinez Manzanera; Sam Ellis; Vasileios Baltatzis; Arjun Nair; Loïc Le Folgoc; Sujal Desai; Ben Glocker; Julia A. Schnabel (ISBI, 2021)

The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. - Vasileios Baltatzis; Kyriaki-Margarita Bintsi; Loïc Le Folgoc; Octavio E. Martinez Manzanera; Sam Ellis; Arjun Nair; Sujal Desai; Ben Glocker; Julia A. Schnabel (PRIME@MICCAI, 2021)

The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. - Vasileios Baltatzis; Loïc Le Folgoc; Sam Ellis; Octavio E. Martinez Manzanera; Kyriaki-Margarita Bintsi; Arjun Nair; Sujal Desai; Ben Glocker; Julia A. Schnabel (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. - Christoph Berger; Magdalini Paschali; Ben Glocker; Konstantinos Kamnitsas (UNSURE/PIPPI@MICCAI, 2021)

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

Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift. - Gregory Filbrandt; Konstantinos Kamnitsas; David Bernstein; Alexandra Taylor; Ben Glocker (DART/FAIR@MICCAI, 2021)

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

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

Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. - Talha Qaiser; Stefan Winzeck; Theodore Barfoot; Tara Barwick; Simon J. Doran; Martin F. Kaiser; Linda Wedlake; Nina Tunariu; Dow-Mu Koh; Christina Messiou; Andrea G. Rockall; Ben Glocker (MICCAI (7), 2021)

Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. - Ainkaran Santhirasekaram; Karen Pinto; Mathias Winkler; Eric O. Aboagye; Ben Glocker; Andrea G. Rockall (ML-CDS@MICCAI, 2021)

Common Limitations of Image Processing Metrics: A Picture Story. - Annika Reinke; Matthias Eisenmann; Minu Dietlinde Tizabi; Carole H. Sudre; Tim Rädsch; Michela Antonelli; Tal Arbel; Spyridon Bakas; M. Jorge Cardoso; Veronika Cheplygina; Keyvan Farahani; Ben Glocker; et al. (CoRR, 2021)

A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (CoRR, 2021)

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. - Loïc Le Folgoc; Vasileios Baltatzis; Amir Alansary; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Fahdi Kanavati; Arjun Nair; Julia A. Schnabel; Ben Glocker (CoRR, 2021)

Active label cleaning: Improving dataset quality under resource constraints. - Melanie Bernhardt; Daniel C. Castro; Ryutaro Tanno; Anton Schwaighofer; Kerem Can Tezcan; Miguel Monteiro; Shruthi Bannur; Matthew P. Lungren; Aditya V. Nori; Ben Glocker; Javier Alvarez-Valle; Ozan Oktay (CoRR, 2021)

Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition. - Mobarakol Islam; Seenivasan Lalithkumar; Hongliang Ren 001; Ben Glocker (CoRR, 2021)

Is MC Dropout Bayesian? - Loïc Le Folgoc; Vasileios Baltatzis; Sujal Desai; Anand Devaraj; Sam Ellis; Octavio E. Martinez Manzanera; Arjun Nair; Huaqi Qiu; Julia A. Schnabel; Ben Glocker (CoRR, 2021)

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. - Daniel Grzech; Mohammad Farid Azampour; Huaqi Qiu; Ben Glocker; Bernhard Kainz; Loïc Le Folgoc (CoRR, 2021)

Algorithmic encoding of protected characteristics and its implications on disparities across subgroups. - Ben Glocker; Stefan Winzeck (CoRR, 2021)

Normative ascent with local gaussians for unsupervised lesion detection. - Xiaoran Chen; Nick Pawlowski; Ben Glocker; Ender Konukoglu (Medical Image Anal., 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

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

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

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. - Zeju Li; Konstantinos Kamnitsas; Ben Glocker (IEEE Trans. Medical Imaging, 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

A variational Bayesian method for similarity learning in non-rigid image registration. - Daniel Grzech; Mohammad Farid Azampour; Ben Glocker; Julia A. Schnabel; Nassir Navab; Bernhard Kainz; Loïc Le Folgoc (CVPR, 2022)

Frequency Dropout: Feature-Level Regularization via Randomized Filtering. - Mobarakol Islam; Ben Glocker (ECCV Workshops (3), 2022)

Deep Structural Causal Shape Models. - Rajat Rasal; Daniel C. Castro; Nick Pawlowski; Ben Glocker (ECCV Workshops (6), 2022)

A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging. - Nairouz Shehata; Wulfie Bain; Ben Glocker (GeoMedIA, 2022)

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. - Zeju Li; Konstantinos Kamnitsas; Mobarakol Islam; Chen Chen 042; Ben Glocker (MICCAI (8), 2022)

Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury. - Margherita Rosnati; Eyal Soreq; Miguel Monteiro; Lucia M. Li; Neil S. N. Graham; Karl Zimmerman; Carlotta Rossi; Greta Carrara; Guido Bertolini; David J. Sharp; Ben Glocker (MLCN@MICCAI, 2022)

Vector Quantisation for Robust Segmentation. - Ainkaran Santhirasekaram; Avinash Kori; Mathias Winkler; Andrea G. Rockall; Ben Glocker (MICCAI (4), 2022)

Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. - Margherita Rosnati; Fabio De Sousa Ribeiro; Miguel Monteiro; Daniel Coelho de Castro; Ben Glocker (ML4H@NeurIPS, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias. - Melanie Bernhardt; Charles Jones; Ben Glocker (CoRR, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Distributional Gaussian Processes Layers for Out-of-Distribution Detection. - Sebastian G. Popescu; David J. Sharp; James H. Cole; Konstantinos Kamnitsas; Ben Glocker (CoRR, 2022)

Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. - Ainkaran Santhirasekaram; Avinash Kori; Andrea G. Rockall; Mathias Winkler; Francesca Toni; Ben Glocker (CoRR, 2022)

GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. - Avinash Kori; Ben Glocker; Francesca Toni (CoRR, 2022)

Risk of Bias in Chest X-ray Foundation Models. - Ben Glocker; Charles Jones; Melanie Bernhardt; Stefan Winzeck (CoRR, 2022)

Visual Debates. - Avinash Kori; Ben Glocker; Francesca Toni (CoRR, 2022)

Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. - Matthew Sinclair; Andreas Schuh; Karl Hahn; Kersten Petersen; Ying Bai; James Batten; Michiel Schaap; Ben Glocker (Medical Image Anal., 2022)

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

Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. - Melanie Bernhardt; Fabio De Sousa Ribeiro; Ben Glocker (Trans. Mach. Learn. Res., 2022)

Structured Uncertainty in the Observation Space of Variational Autoencoders. - James Langley; Miguel Monteiro; Charles Jones; Nick Pawlowski; Ben Glocker (Trans. Mach. Learn. Res., 2022)

Analysing Race and Sex Bias in Brain Age Prediction. - Carolina Piçarra; Ben Glocker (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. - Ainkaran Santhirasekaram; Avinash Kori; Mathias Winkler; Andrea G. Rockall; Francesca Toni; Ben Glocker (CVPR Workshops, 2023)

Topology Preserving Compositionality for Robust Medical Image Segmentation. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (CVPR Workshops, 2023)

What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB. - Melissa D. McCradden; Oluwadara Odusi; Shalmali Joshi; Ismail Akrout; Kagiso Ndlovu; Ben Glocker; Gabriel Maicas; Xiaoxuan Liu; Mjaye Mazwi; Tee Garnett; Lauren Oakden-Rayner; Myrtede Alfred; et al. (FAccT, 2023)

Distance Matters For Improving Performance Estimation Under Covariate Shift. - Mélanie Roschewitz; Ben Glocker (ICCV (Workshops), 2023)

Measuring axiomatic soundness of counterfactual image models. - Miguel Monteiro; Fabio De Sousa Ribeiro; Nick Pawlowski; Daniel C. Castro; Ben Glocker (ICLR, 2023)

High Fidelity Image Counterfactuals with Probabilistic Causal Models. - Fabio De Sousa Ribeiro; Tian Xia; Miguel Monteiro; Nick Pawlowski; Ben Glocker (ICML, 2023)

Robustness Stress Testing in Medical Image Classification. - Mobarakol Islam; Zeju Li; Ben Glocker (UNSURE@MICCAI, 2023)

The Role of Subgroup Separability in Group-Fair Medical Image Classification. - Charles Jones; Mélanie Roschewitz; Ben Glocker (MICCAI (3), 2023)

A Sheaf Theoretic Perspective for Robust Prostate Segmentation. - Ainkaran Santhirasekaram; Karen Pinto; Mathias Winkler; Andrea G. Rockall; Ben Glocker (MICCAI (4), 2023)

Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (DART@MICCAI, 2023)

Robust semi-supervised segmentation with timestep ensembling diffusion models. - Margherita Rosnati; Mélanie Roschewitz; Ben Glocker (ML4H@NeurIPS, 2023)

Image To Tree with Recursive Prompting. - James Batten; Matthew Sinclair; Ben Glocker; Michiel Schaap (CoRR, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

A Causal Ordering Prior for Unsupervised Representation Learning. - Avinash Kori; Pedro Sanchez; Konstantinos Vilouras; Ben Glocker; Sotirios A. Tsaftaris (CoRR, 2023)

Unsupervised Conditional Slot Attention for Object Centric Learning. - Avinash Kori; Francesco Locatello; Francesca Toni; Ben Glocker (CoRR, 2023)

No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. - Charles Jones; Daniel C. Castro; Fabio De Sousa Ribeiro; Ozan Oktay; Melissa D. McCradden; Ben Glocker (CoRR, 2023)

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

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (Medical Image Anal., 2023)

Context Label Learning: Improving Background Class Representations in Semantic Segmentation. - Zeju Li; Konstantinos Kamnitsas; Cheng Ouyang; Chen Chen 042; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

Paced-curriculum distillation with prediction and label uncertainty for image segmentation. - Mobarakol Islam; Lalithkumar Seenivasan; S. P. Sharan; V. K. Viekash; Bhavesh Gupta; Ben Glocker; Hongliang Ren 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Simple Synthetic Angiography 0.1. - James Batten; Ben Glocker; Michiel Schaap (Zenodo, 2023)

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. - Zeju Li; Konstantinos Kamnitsas; Qi Dou 001; Chen Qin; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

Explaining Image Classifiers with Visual Debates. - Avinash Kori; Ben Glocker; Francesca Toni (DS (2), 2024)

Grounded Object-Centric Learning. - Avinash Kori; Francesco Locatello; Fabio De Sousa Ribeiro; Francesca Toni; Ben Glocker (ICLR, 2024)

Image-To-Tree with Recursive Prompting. - James Batten; Matthew Sinclair; Ying Bai; Ben Glocker; Michiel Schaap (ISBI, 2024)

The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. - Nairouz Shehata; Carolina Piçarra; Anees Kazi; Ben Glocker (ISBI, 2024)

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation. - Theodore Barfoot; Luis C. García-Peraza-Herrera; Ben Glocker; Tom Vercauteren (MICCAI (9), 2024)

Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation. - Kate Cevora; Ben Glocker; Wenjia Bai (FAIMI/EPIMI@MICCAI, 2024)

Counterfactual Contrastive Learning: Robust Representations via Causal Image Synthesis. - Mélanie Roschewitz; Fabio De Sousa Ribeiro; Tian Xia; Galvin Khara; Ben Glocker (DEMI@MICCAI, 2024)

Mitigating Attribute Amplification in Counterfactual Image Generation. - Tian Xia; Mélanie Roschewitz; Fabio De Sousa Ribeiro; Charles Jones; Ben Glocker (MICCAI (10), 2024)

Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. - Avinash Kori; Francesco Locatello; Ainkaran Santhirasekaram; Francesca Toni; Ben Glocker; Fabio De Sousa Ribeiro (NeurIPS, 2024)

Unsupervised Similarity Learning for Image Registration with Energy-Based Models. - Daniel Grzech; Loïc Le Folgoc; Mohammad Farid Azampour; Athanasios Vlontzos; Ben Glocker; Nassir Navab; Julia A. Schnabel; Bernhard Kainz (WBIR, 2024)

SharkTrack: an accurate, generalisable software for streamlining shark and ray underwater video analysis. - Filippo Varini; Francesco Ferretti; Jeremy Jenrette; Joel H. Gayford; Mark E. Bond; Matthew J. Witt; Michael R. Heithaus; Sophie Wilday; Ben Glocker (CoRR, 2024)

Latent 3D Brain MRI Counterfactual. - Wei Peng 009; Tian Xia; Fabio De Sousa Ribeiro; Tomas M. Bosschieter; Ehsan Adeli-Mosabbeb; Qingyu Zhao; Ben Glocker; Kilian M. Pohl (CoRR, 2024)

Automatic dataset shift identification to support root cause analysis of AI performance drift. - Mélanie Roschewitz; Raghav Mehta; Charles Jones; Ben Glocker (CoRR, 2024)

Continuous Bayesian Model Selection for Multivariate Causal Discovery. - Anish Dhir; Ruby Sedgwick; Avinash Kori; Ben Glocker; Mark van der Wilk (CoRR, 2024)

A geometric approach to robust medical image segmentation. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (Medical Image Anal., 2024)

mammo-net. - Ben Glocker (Zenodo, 2024)

Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding. - Mengya Xu; Mobarakol Islam; Ben Glocker; Hongliang Ren 001 (IEEE Trans Autom. Sci. Eng., 2024)

Rethinking Fair Representation Learning for Performance-Sensitive Tasks. - Charles Jones; Fabio De Sousa Ribeiro; Mélanie Roschewitz; Daniel C. Castro; Ben Glocker (ICLR, 2025)

Radio-Opaque Artefacts in Digital Mammography: Automatic Detection and Analysis of Downstream Effects. - Amelia Schueppert; Ben Glocker; Mélanie Roschewitz (ISBI, 2025)

Demystifying Variational Diffusion Models. - Fabio De Sousa Ribeiro; Ben Glocker (Found. Trends Comput. Graph. Vis., 2025)

Robust image representations with counterfactual contrastive learning. - Mélanie Roschewitz; Fabio De Sousa Ribeiro; Tian Xia; Galvin Khara; Ben Glocker (Medical Image Anal., 2025)

Robust prostate disease classification using transformers with discrete representations. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (Int. J. Comput. Assist. Radiol. Surg., 2025)

Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression. - Nairouz Shehata; Carolina Piçarra; Ben Glocker (CoRR, 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)

Subgroups Matter for Robust Bias Mitigation. - Anissa Alloula; Charles Jones; Ben Glocker; Bartlomiej W. Papiez (CoRR, 2025)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs. - Raghav Mehta; Karthik Gopinath; Ben Glocker; Juan Eugenio Iglesias (CoRR, 2025)

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation. - Theodore Barfoot; Luis C. García-Peraza-Herrera; Samet Akcay; Ben Glocker; Tom Vercauteren (CoRR, 2025)

Identifiable Object Representations under Spatial Ambiguities. - Avinash Kori; Francesca Toni; Ben Glocker (CoRR, 2025)

Diffusion Counterfactual Generation with Semantic Abduction. - Rajat Rasal; Avinash Kori; Fabio De Sousa Ribeiro; Tian Xia; Ben Glocker (CoRR, 2025)

Vector Representations of Vessel Trees. - James Batten; Michiel Schaap; Matthew Sinclair; Ying Bai; Ben Glocker (CoRR, 2025)

Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models. - Tian Xia; Fabio De Sousa Ribeiro; Rajat Rasal; Avinash Kori; Raghav Mehta; Ben Glocker (CoRR, 2025)

Object-Centric Neuro-Argumentative Learning. - Abdul Rahman Jacob; Avinash Kori; Emanuele De Angelis; Ben Glocker; Maurizio Proietti; Francesca Toni (CoRR, 2025)

CF-Seg: Counterfactuals meet Segmentation. - Raghav Mehta; Fabio De Sousa Ribeiro; Tian Xia; Mélanie Roschewitz; Ainkaran Santhirasekaram; Dominic C. Marshall; Ben Glocker (CoRR, 2025)

Causal Representation Learning with Observational Grouping for CXR Classification. - Rajat Rasal; Avinash Kori; Ben Glocker (CoRR, 2025)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT. - Ajay Mittal; Raghav Mehta; Omar Todd; Philipp Seeböck; Georg Langs; Ben Glocker (CoRR, 2025)

Where are we with calibration under dataset shift in image classification? - Mélanie Roschewitz; Raghav Mehta; Fabio De Sousa Ribeiro; Ben Glocker (CoRR, 2025)

Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification. - Emma A. M. Stanley; Raghav Mehta; Mélanie Roschewitz; Nils D. Forkert; Ben Glocker (CoRR, 2025)

Flow Stochastic Segmentation Networks. - Fabio De Sousa Ribeiro; Omar Todd; Charles Jones; Avinash Kori; Raghav Mehta; Ben Glocker (CoRR, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)