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Ben Glocker
Benjamin M. Glocker
Person information
- affiliation: Imperial College, London, UK
- affiliation: Technical University Munich, Germany
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2020 – today
- 2025
- [e19]Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson:
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings. Lecture Notes in Computer Science 15198, Springer 2025, ISBN 978-3-031-72786-3 [contents] - 2024
- [j57]Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
A geometric approach to robust medical image segmentation. Medical Image Anal. 97: 103260 (2024) - [j56]Mengya Xu, Mobarakol Islam, Ben Glocker, Hongliang Ren:
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding. IEEE Trans Autom. Sci. Eng. 21(3): 3170-3181 (2024) - [c133]Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker:
Grounded Object-Centric Learning. ICLR 2024 - [c132]James Batten, Matthew Sinclair, Ying Bai, Ben Glocker, Michiel Schaap:
Image-To-Tree with Recursive Prompting. ISBI 2024: 1-5 - [c131]Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker:
The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. ISBI 2024: 1-5 - [c130]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Counterfactual Contrastive Learning: Robust Representations via Causal Image Synthesis. DEMI@MICCAI 2024: 22-32 - [c129]Kate Cevora, Ben Glocker, Wenjia Bai:
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation. FAIMI/EPIMI@MICCAI 2024: 88-97 - [c128]Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren:
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation. MICCAI (9) 2024: 139-149 - [c127]Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker:
Mitigating Attribute Amplification in Counterfactual Image Generation. MICCAI (10) 2024: 546-556 - [c126]Daniel Grzech, Loïc Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A. Schnabel, Bernhard Kainz:
Unsupervised Similarity Learning for Image Registration with Energy-Based Models. WBIR 2024: 229-240 - [e18]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15001, Springer 2024, ISBN 978-3-031-72377-3 [contents] - [e17]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15002, Springer 2024, ISBN 978-3-031-72068-0 [contents] - [e16]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15003, Springer 2024, ISBN 978-3-031-72383-4 [contents] - [e15]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15004, Springer 2024, ISBN 978-3-031-72082-6 [contents] - [e14]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15005, Springer 2024, ISBN 978-3-031-72085-7 [contents] - [e13]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15006, Springer 2024, ISBN 978-3-031-72088-8 [contents] - [e12]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15007, Springer 2024, ISBN 978-3-031-72103-8 [contents] - [e11]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15008, Springer 2024, ISBN 978-3-031-72110-6 [contents] - [e10]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15009, Springer 2024, ISBN 978-3-031-72113-7 [contents] - [e9]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15010, Springer 2024, ISBN 978-3-031-72116-8 [contents] - [e8]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15011, Springer 2024, ISBN 978-3-031-72119-9 [contents] - [e7]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15012, Springer 2024, ISBN 978-3-031-72389-6 [contents] - [d2]Ben Glocker:
mammo-net. Zenodo, 2024 - [i124]Fabio De Sousa Ribeiro, Ben Glocker:
Demystifying Variational Diffusion Models. CoRR abs/2401.06281 (2024) - [i123]Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren:
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation. CoRR abs/2403.06759 (2024) - [i122]Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker:
Mitigating attribute amplification in counterfactual image generation. CoRR abs/2403.09422 (2024) - [i121]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Counterfactual contrastive learning: robust representations via causal image synthesis. CoRR abs/2403.09605 (2024) - [i120]Nairouz Shehata, Carolina Piçarra, Anees Kazi, Ben Glocker:
The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks. CoRR abs/2405.01270 (2024) - [i119]Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro:
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR abs/2406.07141 (2024) - [i118]Filippo Varini, Francesco Ferretti, Jeremy Jenrette, Joel H. Gayford, Mark E. Bond, Matthew J. Witt, Michael R. Heithaus, Sophie Wilday, Ben Glocker:
SharkTrack: an accurate, generalisable software for streamlining shark and ray underwater video analysis. CoRR abs/2407.20623 (2024) - [i117]Kate Cevora, Ben Glocker, Wenjia Bai:
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation. CoRR abs/2408.04610 (2024) - [i116]Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl:
Latent 3D Brain MRI Counterfactual. CoRR abs/2409.05585 (2024) - [i115]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Robust image representations with counterfactual contrastive learning. CoRR abs/2409.10365 (2024) - 2023
- [j55]Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-curriculum distillation with prediction and label uncertainty for image segmentation. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1875-1883 (2023) - [j54]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, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [j53]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. 84: 102704 (2023) - [j52]Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker:
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging 42(6): 1885-1896 (2023) - [j51]Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging 42(11): 3323-3335 (2023) - [c125]Carolina Piçarra, Ben Glocker:
Analysing Race and Sex Bias in Brain Age Prediction. CLIP/FAIMI/EPIMI@MICCAI 2023: 194-204 - [c124]Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Topology Preserving Compositionality for Robust Medical Image Segmentation. CVPR Workshops 2023: 543-552 - [c123]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker:
Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. CVPR Workshops 2023: 561-570 - [c122]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, Irvine Sihlahla, Oswa Shafei, Anna Goldenberg:
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. FAccT 2023: 1505-1519 - [c121]Mélanie Roschewitz, Ben Glocker:
Distance Matters For Improving Performance Estimation Under Covariate Shift. ICCV (Workshops) 2023: 4551-4561 - [c120]Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. ICLR 2023 - [c119]Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker:
High Fidelity Image Counterfactuals with Probabilistic Causal Models. ICML 2023: 7390-7425 - [c118]Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation. DART@MICCAI 2023: 52-62 - [c117]Mobarakol Islam, Zeju Li, Ben Glocker:
Robustness Stress Testing in Medical Image Classification. UNSURE@MICCAI 2023: 167-176 - [c116]Charles Jones, Mélanie Roschewitz, Ben Glocker:
The Role of Subgroup Separability in Group-Fair Medical Image Classification. MICCAI (3) 2023: 179-188 - [c115]Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
A Sheaf Theoretic Perspective for Robust Prostate Segmentation. MICCAI (4) 2023: 249-259 - [c114]Margherita Rosnati, Mélanie Roschewitz, Ben Glocker:
Robust semi-supervised segmentation with timestep ensembling diffusion models. ML4H@NeurIPS 2023: 512-527 - [e6]Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - [d1]James Batten, Ben Glocker, Michiel Schaap:
Simple Synthetic Angiography 0.1. Zenodo, 2023 - [i114]James Batten, Matthew Sinclair, Ben Glocker, Michiel Schaap:
Image To Tree with Recursive Prompting. CoRR abs/2301.00447 (2023) - [i113]Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation. CoRR abs/2302.01049 (2023) - [i112]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i111]Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. CoRR abs/2303.01274 (2023) - [i110]Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR abs/2305.19084 (2023) - [i109]Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker:
High Fidelity Image Counterfactuals with Probabilistic Causal Models. CoRR abs/2306.15764 (2023) - [i108]Charles Jones, Mélanie Roschewitz, Ben Glocker:
The Role of Subgroup Separability in Group-Fair Medical Image Classification. CoRR abs/2307.02791 (2023) - [i107]Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris:
A Causal Ordering Prior for Unsupervised Representation Learning. CoRR abs/2307.05704 (2023) - [i106]Avinash Kori, Francesco Locatello, Francesca Toni, Ben Glocker:
Unsupervised Conditional Slot Attention for Object Centric Learning. CoRR abs/2307.09437 (2023) - [i105]Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro, Ozan Oktay, Melissa D. McCradden, Ben Glocker:
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. CoRR abs/2307.16526 (2023) - [i104]Mobarakol Islam, Zeju Li, Ben Glocker:
Robustness Stress Testing in Medical Image Classification. CoRR abs/2308.06889 (2023) - [i103]Mélanie Roschewitz, Ben Glocker:
Distance Matters For Improving Performance Estimation Under Covariate Shift. CoRR abs/2308.07223 (2023) - [i102]Carolina Piçarra, Ben Glocker:
Analysing race and sex bias in brain age prediction. CoRR abs/2309.10835 (2023) - [i101]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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - [i100]Margherita Rosnati, Mélanie Roschewitz, Ben Glocker:
Robust semi-supervised segmentation with timestep ensembling diffusion models. CoRR abs/2311.07421 (2023) - 2022
- [j50]Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker:
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. Medical Image Anal. 78: 102383 (2022) - [j49]Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j48]Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker:
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. Trans. Mach. Learn. Res. 2022 (2022) - [j47]James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker:
Structured Uncertainty in the Observation Space of Variational Autoencoders. Trans. Mach. Learn. Res. 2022 (2022) - [c113]Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc:
A variational Bayesian method for similarity learning in non-rigid image registration. CVPR 2022: 119-128 - [c112]Mobarakol Islam, Ben Glocker:
Frequency Dropout: Feature-Level Regularization via Randomized Filtering. ECCV Workshops (3) 2022: 281-295 - [c111]Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker:
Deep Structural Causal Shape Models. ECCV Workshops (6) 2022: 400-432 - [c110]Nairouz Shehata, Wulfie Bain, Ben Glocker:
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging. GeoMedIA 2022: 160-171 - [c109]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:
Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury. MLCN@MICCAI 2022: 135-146 - [c108]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Vector Quantisation for Robust Segmentation. MICCAI (4) 2022: 663-672 - [c107]Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker:
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores. MICCAI (8) 2022: 693-703 - [c106]Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker:
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. ML4H@NeurIPS 2022: 290-310 - [i99]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i98]Melanie Bernhardt, Charles Jones, Ben Glocker:
Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias. CoRR abs/2201.07856 (2022) - [i97]James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker:
Structured Uncertainty in the Observation Space of Variational Autoencoders. CoRR abs/2205.12533 (2022) - [i96]Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker:
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. CoRR abs/2205.14094 (2022) - [i95]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i94]Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker:
Distributional Gaussian Processes Layers for Out-of-Distribution Detection. CoRR abs/2206.13346 (2022) - [i93]Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker:
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. CoRR abs/2207.01916 (2022) - [i92]Avinash Kori, Ben Glocker, Francesca Toni:
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. CoRR abs/2207.01917 (2022) - [i91]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Vector Quantisation for Robust Segmentation. CoRR abs/2207.01919 (2022) - [i90]Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker:
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores. CoRR abs/2207.09957 (2022) - [i89]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:
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury. CoRR abs/2208.04114 (2022) - [i88]Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker:
Deep Structural Causal Shape Models. CoRR abs/2208.10950 (2022) - [i87]Ben Glocker, Charles Jones, Melanie Bernhardt, Stefan Winzeck:
Risk of Bias in Chest X-ray Foundation Models. CoRR abs/2209.02965 (2022) - [i86]Mobarakol Islam, Ben Glocker:
Frequency Dropout: Feature-Level Regularization via Randomized Filtering. CoRR abs/2209.09844 (2022) - [i85]Avinash Kori, Ben Glocker, Francesca Toni:
Visual Debates. CoRR abs/2210.09015 (2022) - [i84]Nairouz Shehata, Wulfie Bain, Ben Glocker:
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging. CoRR abs/2210.16670 (2022) - [i83]Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker:
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. CoRR abs/2211.01886 (2022) - [i82]Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker:
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR abs/2212.08423 (2022) - [i81]Mengya Xu, Mobarakol Islam, Ben Glocker, Hongliang Ren:
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding. CoRR abs/2212.11511 (2022) - 2021
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