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ORCIDBen Glocker
Benjamin M. Glocker
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- affiliation: Imperial College, London, UK
- affiliation: Technical University Munich, Germany
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2020 – today
- 2025
[j58]Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall
, Ben Glocker:
Robust prostate disease classification using transformers with discrete representations. Int. J. Comput. Assist. Radiol. Surg. 20(1): 11-20 (2025)- [c136]Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker:
Rethinking Fair Representation Learning for Performance-Sensitive Tasks. ICLR 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] - [i129]Nairouz Shehata, Carolina Piçarra, Ben Glocker:
Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression. CoRR abs/2501.07994 (2025) - 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) - [c135]Avinash Kori, Ben Glocker, Francesca Toni:
Explaining Image Classifiers with Visual Debates. DS (2) 2024: 200-214 - [c134]Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker:
Grounded Object-Centric Learning. ICLR 2024 - [c133]James Batten, Matthew Sinclair, Ying Bai, Ben Glocker, Michiel Schaap:
Image-To-Tree with Recursive Prompting. ISBI 2024: 1-5 - [c132]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 - [c131]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 - [c130]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 - [c129]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 - [c128]Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker:
Mitigating Attribute Amplification in Counterfactual Image Generation. MICCAI (10) 2024: 546-556 - [c127]Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro:
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. NeurIPS 2024 - [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
- [i128]Fabio De Sousa Ribeiro, Ben Glocker:
Demystifying Variational Diffusion Models. CoRR abs/2401.06281 (2024) - [i127]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) - [i126]Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker:
Mitigating attribute amplification in counterfactual image generation. CoRR abs/2403.09422 (2024) - [i125]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) - [i124]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) - [i123]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) - [i122]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) - [i121]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) - [i120]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) - [i119]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Robust image representations with counterfactual contrastive learning. CoRR abs/2409.10365 (2024) - [i118]Amelia Schueppert, Ben Glocker, Mélanie Roschewitz:
Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects. CoRR abs/2410.03809 (2024) - [i117]Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker:
Rethinking Fair Representation Learning for Performance-Sensitive Tasks. CoRR abs/2410.04120 (2024) - [i116]Mélanie Roschewitz, Raghav Mehta, Charles Jones, Ben Glocker:
Automatic dataset shift identification to support root cause analysis of AI performance drift. CoRR abs/2411.07940 (2024) - [i115]Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk:
Continuous Bayesian Model Selection for Multivariate Causal Discovery. CoRR abs/2411.10154 (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
- [j46]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [j45]Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Normative ascent with local gaussians for unsupervised lesion detection. Medical Image Anal. 74: 102208 (2021) - [j44]Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach:
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning. Nat. Mach. Intell. 3(9): 749-758 (2021) - [j43]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:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [j42]Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation. IEEE Trans. Medical Imaging 40(3): 1065-1077 (2021) - [j41]Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c105]Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu:
Universal Adversarial Robustness of Texture and Shape-Biased Models. ICIP 2021: 799-803 - [c104]Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker:
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. IPMI 2021: 415-427 - [c103]Mobarakol Islam, Ben Glocker:
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. IPMI 2021: 677-688 - [c102]Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel:
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. ISBI 2021: 5-9 - [c101]Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric O. Aboagye, Ben Glocker, Andrea G. Rockall:
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. ML-CDS@MICCAI 2021: 12-21 - [c100]Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. iMIMIC/TDA4MedicalData@MICCAI 2021: 56-64 - [c99]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:
Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. DART/FAIR@MICCAI 2021: 79-89 - [c98]Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas:
Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis. UNSURE/PIPPI@MICCAI 2021: 122-132 - [c97]Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker:
Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift. DART/FAIR@MICCAI 2021: 123-132 - [c96]Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. PRIME@MICCAI 2021: 201-211 - [c95]Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) 2021: 207-217 - [c94]Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert:
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. DGM4MICCAI/DALI@MICCAI 2021: 259-267 - [c93]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:
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. MICCAI (7) 2021: 786-796 - [i80]Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. CoRR abs/2102.10365 (2021) - [i79]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, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i78]Mobarakol Islam, Ben Glocker:
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. CoRR abs/2104.05788 (2021) - [i77]Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker:
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. CoRR abs/2104.13756 (2021) - [i76]Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas:
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis. CoRR abs/2107.02568 (2021) - [i75]Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR abs/2107.02643 (2021) - [i74]Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker:
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift. CoRR abs/2107.05938 (2021) - [i73]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:
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. CoRR abs/2107.07805 (2021) - [i72]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:
Transductive image segmentation: Self-training and effect of uncertainty estimation. CoRR abs/2107.08964 (2021) - [i71]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR abs/2107.09543 (2021) - [i70]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:
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. CoRR abs/2108.00250 (2021) - [i69]Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. CoRR abs/2108.04815 (2021) - [i68]Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. CoRR abs/2108.05386 (2021) - [i67]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:
Active label cleaning: Improving dataset quality under resource constraints. CoRR abs/2109.00574 (2021) - [i66]Mobarakol Islam, Seenivasan Lalithkumar, Hongliang Ren, Ben Glocker:
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition. CoRR abs/2109.05263 (2021) - [i65]Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert:
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. CoRR abs/2110.00109 (2021) - [i64]Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker:
Is MC Dropout Bayesian? CoRR abs/2110.04286 (2021) - [i63]Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc:
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. CoRR abs/2110.13289 (2021) - [i62]Ben Glocker, Stefan Winzeck:
Algorithmic encoding of protected characteristics and its implications on disparities across subgroups. CoRR abs/2110.14755 (2021) - 2020
- [j40]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-Modal Segmentation via Knowledge Distillation. IEEE Trans. Medical Imaging 39(7): 2415-2425 (2020) - [j39]Agostina J. Larrazabal, César Ernesto Martínez, Ben Glocker, Enzo Ferrante:
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders. IEEE Trans. Medical Imaging 39(12): 3813-3820 (2020) - [c92]Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc:
Image Registration via Stochastic Gradient Markov Chain Monte Carlo. UNSURE/GRAIL@MICCAI 2020: 3-12 - [c91]Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante:
Cranial Implant Design via Virtual Craniectomy with Shape Priors. AutoImplant@MICCAI 2020: 37-46 - [c90]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) 2020: 88-97 - [c89]Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante:
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. MICCAI (2) 2020: 390-399 - [c88]Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker:
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) 2020: 710-719 - [c87]Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker:
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. NeurIPS 2020 - [c86]Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker:
Deep Structural Causal Models for Tractable Counterfactual Inference. NeurIPS 2020 - [i61]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. CoRR abs/2001.03111 (2020) - [i60]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i59]Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker:
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. CoRR abs/2006.06015 (2020) - [i58]Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker:
Deep Structural Causal Models for Tractable Counterfactual Inference. CoRR abs/2006.06485 (2020) - [i57]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR abs/2006.13379 (2020) - [i56]Agostina J. Larrazabal, César Ernesto Martínez, Ben Glocker, Enzo Ferrante:
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders. CoRR abs/2006.13791 (2020) - [i55]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:
Bayesian Sampling Bias Correction: Training with the Right Loss Function. CoRR abs/2006.13798 (2020) - [i54]Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker:
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR abs/2006.16741 (2020) - [i53]Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante:
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. CoRR abs/2007.03817 (2020) - [i52]Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante:
Cranial Implant Design via Virtual Craniectomy with Shape Priors. CoRR abs/2009.13704 (2020) - [i51]Sebastian Popescu, David J. Sharp, James H. Cole, Ben Glocker:
Hierarchical Gaussian Processes with Wasserstein-2 Kernels. CoRR abs/2010.14877 (2020) - [i50]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. CoRR abs/2012.10533 (2020)
2010 – 2019
- 2019
- [j38]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019) - [j37]Tae-Kyun Kim, Stefanos Zafeiriou, Ben Glocker, Stefan Leutenegger:
Special Issue on Machine Vision. Int. J. Comput. Vis. 127(11-12): 1611-1613 (2019) - [j36]Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. 20: 178:1-178:29 (2019) - [j35]Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. 53: 156-164 (2019) - [j34]Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention gated networks: Learning to leverage salient regions in medical images. Medical Image Anal. 53: 197-207 (2019) - [j33]Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring:
Quantitative error prediction of medical image registration using regression forests. Medical Image Anal. 56: 110-121 (2019) - [j32]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:
Learning-Based Quality Control for Cardiac MR Images. IEEE Trans. Medical Imaging 38(5): 1127-1138 (2019) - [j31]Matthew C. H. Lee, Kersten Petersen, Nick Pawlowski, Ben Glocker, Michiel Schaap:
TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. IEEE Trans. Medical Imaging 38(11): 2596-2606 (2019) - [c85]Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker:
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) 2019: 13-22 - [c84]Ian Walker, Ben Glocker:
Graph Convolutional Gaussian Processes. ICML 2019: 6495-6504 - [c83]Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker:
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. IPMI 2019: 221-234 - [c82]Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker:
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. MICCAI (2) 2019: 337-345 - [c81]Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Unsupervised Lesion Detection with Locally Gaussian Approximation. MLMI@MICCAI 2019: 355-363 - [c80]Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation. MICCAI (3) 2019: 402-410 - [c79]Martin Zlocha, Qi Dou, Ben Glocker:
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. MICCAI (6) 2019: 402-410 - [c78]Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker:
Domain Generalization via Model-Agnostic Learning of Semantic Features. NeurIPS 2019: 6447-6458 - [e5]Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi:
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7 [contents] - [e4]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents] - [i49]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, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker:
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. CoRR abs/1901.09351 (2019) - [i48]Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker:
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. CoRR abs/1903.02429 (2019) - [i47]Ian Walker, Ben Glocker:
Graph Convolutional Gaussian Processes. CoRR abs/1905.05739 (2019) - [i46]Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring:
Quantitative Error Prediction of Medical Image Registration using Regression Forests. CoRR abs/1905.07624 (2019) - [i45]Martin Zlocha, Qi Dou, Ben Glocker:
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. CoRR abs/1906.02283 (2019) - [i44]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR abs/1907.08612 (2019) - [i43]Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker:
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration. CoRR abs/1907.09200 (2019) - [i42]Nick Pawlowski, Ben Glocker:
Is Texture Predictive for Age and Sex in Brain MRI? CoRR abs/1907.10961 (2019) - [i41]Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation. CoRR abs/1907.10982 (2019) - [i40]Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal:
Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR abs/1908.06037 (2019) - [i39]Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu:
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. CoRR abs/1910.04597 (2019) - [i38]James McCouat, Ben Glocker:
Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations. CoRR abs/1910.05911 (2019) - [i37]Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker:
Domain Generalization via Model-Agnostic Learning of Semantic Features. CoRR abs/1910.13580 (2019) - [i36]Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu:
Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. CoRR abs/1911.10364 (2019) - [i35]Daniel Coelho de Castro, Ian Walker, Ben Glocker:
Causality matters in medical imaging. CoRR abs/1912.08142 (2019) - 2018
- [j30]Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert:
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. Medical Image Anal. 48: 117-130 (2018) - [j29]Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert:
Metric learning with spectral graph convolutions on brain connectivity networks. NeuroImage 169: 431-442 (2018) - [j28]Ender Konukoglu, Ben Glocker:
Reconstructing subject-specific effect maps. NeuroImage 181: 521-538 (2018) - [j27]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, Daniel Rueckert:
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 37(2): 384-395 (2018) - [j26]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging 37(8): 1737-1750 (2018) - [c77]Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori:
Semi-Supervised Learning via Compact Latent Space Clustering. ICML 2018: 2464-2473 - [c76]Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert:
Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. GRAIL/Beyond-MIC@MICCAI 2018: 3-13 - [c75]Daniel Coelho de Castro, Ben Glocker:
Nonparametric Density Flows for MRI Intensity Normalisation. MICCAI (1) 2018: 206-214 - [c74]Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) 2018: 277-285 - [c73]Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone:
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. MLMI@MICCAI 2018: 294-302 - [c72]Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. MLMI@MICCAI 2018: 346-354 - [c71]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, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-Time Prediction of Segmentation Quality. MICCAI (4) 2018: 578-585 - [c70]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) 2018: 756-764 - [c69]Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. WACV 2018: 547-556 - [e3]Ben Glocker, Jianhua Yao, Tomaz Vrtovec, Alejandro F. Frangi, Guoyan Zheng:
Computational Methods and Clinical Applications in Musculoskeletal Imaging - 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10734, Springer 2018, ISBN 978-3-319-74112-3 [contents] - [i34]Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Paul M. Matthews, Daniel Rueckert:
Learning-Based Quality Control for Cardiac MR Images. CoRR abs/1803.09354 (2018) - [i33]Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, Matthew C. H. Lee, Mattias P. Heinrich, Kazunari Misawa, Kensaku Mori, Steven G. McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention U-Net: Learning Where to Look for the Pancreas. CoRR abs/1804.03999 (2018) - [i32]Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection. CoRR abs/1804.05338 (2018) - [i31]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. CoRR abs/1805.01026 (2018) - [i30]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. CoRR abs/1806.00363 (2018) - [i29]Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert:
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. CoRR abs/1806.01738 (2018) - [i28]Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert:
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. CoRR abs/1806.01764 (2018) - [i27]Daniel Coelho de Castro, Ben Glocker:
Nonparametric Density Flows for MRI Intensity Normalisation. CoRR abs/1806.02613 (2018) - [i26]Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori:
Semi-Supervised Learning via Compact Latent Space Clustering. CoRR abs/1806.02679 (2018) - [i25]Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR abs/1806.03228 (2018) - [i24]Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker:
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines. CoRR abs/1806.04224 (2018) - [i23]Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu:
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. CoRR abs/1806.05452 (2018) - [i22]Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-time Prediction of Segmentation Quality. CoRR abs/1806.06244 (2018) - [i21]Dimitrios Korkinof, Tobias Rijken, Michael O'Neill, Joseph Yearsley, Hugh Harvey, Ben Glocker:
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks. CoRR abs/1807.03401 (2018) - [i20]Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes. CoRR abs/1807.11368 (2018) - [i19]Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images. CoRR abs/1808.08114 (2018) - [i18]Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. CoRR abs/1809.10780 (2018) - [i17]Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas:
Towards continual learning in medical imaging. CoRR abs/1811.02496 (2018) - [i16]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018) - 2017
- [j25]Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [j24]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, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - [j23]Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker:
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Anal. 36: 61-78 (2017) - [j22]Alessandro Vandini, Ben Glocker, Mohamad Hamady, Guang-Zhong Yang:
Robust guidewire tracking under large deformations combining segment-like features (SEGlets). Medical Image Anal. 38: 150-164 (2017) - [j21]Veronika A. M. Zimmer, Ben Glocker, Nadine Hahner, Elisenda Eixarch, Gerard Sanromá, Eduard Gratacós, Daniel Rueckert, Miguel Ángel González Ballester, Gemma Piella:
Learning and combining image neighborhoods using random forests for neonatal brain disease classification. Medical Image Anal. 42: 189-199 (2017) - [j20]Sarah Parisot, Ben Glocker, Sofia Ira Ktena, Salim Arslan, Markus D. Schirmer, Daniel Rueckert:
A flexible graphical model for multi-modal parcellation of the cortex. NeuroImage 162: 226-248 (2017) - [j19]Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Supervoxel classification forests for estimating pairwise image correspondences. Pattern Recognit. 63: 561-569 (2017) - [j18]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:
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. IEEE Trans. Medical Imaging 36(1): 332-342 (2017) - [j17]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Trans. Medical Imaging 36(8): 1597-1606 (2017) - [j16]Alessandro Vandini, Christos Bergeles, Ben Glocker, Petros Giataganas, Guang-Zhong Yang:
Unified Tracking and Shape Estimation for Concentric Tube Robots. IEEE Trans. Robotics 33(4): 901-915 (2017) - [c68]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:
Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. FIMH 2017: 73-82 - [c67]Nick Pawlowski, Miguel Jaques, Ben Glocker:
Efficient variational Bayesian neural network ensembles for outlier detection. ICLR (Workshop) 2017 - [c66]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:
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI 2017: 597-609 - [c65]Dimitrios Damopoulos, Ben Glocker, Guoyan Zheng:
Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features. MSKI@MICCAI 2017: 59-71 - [c64]Fahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation. MLMI@MICCAI 2017: 79-87 - [c63]Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert:
Spectral Graph Convolutions for Population-Based Disease Prediction. MICCAI (3) 2017: 177-185 - [c62]Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert:
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. MICCAI (2) 2017: 253-260 - [c61]Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. MICCAI (2) 2017: 296-304 - [c60]Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker:
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI 2017: 450-462 - [c59]Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert:
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. MICCAI (1) 2017: 469-477 - [c58]Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker:
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. MICCAI (1) 2017: 720-727 - [i15]Ender Konukoglu, Ben Glocker:
SubCMap: Subject and Condition Specific Effect Maps. CoRR abs/1701.02610 (2017) - [i14]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. CoRR abs/1702.03407 (2017) - [i13]Benjamin Hou, Amir Alansary, Steven G. McDonagh, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. CoRR abs/1702.08891 (2017) - [i12]Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert:
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks. CoRR abs/1703.02161 (2017) - [i11]Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert:
Spectral Graph Convolutions for Population-based Disease Prediction. CoRR abs/1703.03020 (2017) - [i10]Nick Pawlowski, Miguel Jaques, Ben Glocker:
Efficient variational Bayesian neural network ensembles for outlier detection. CoRR abs/1703.06749 (2017) - [i9]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, Ben Glocker, Daniel Rueckert:
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR abs/1705.08302 (2017) - [i8]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. CoRR abs/1709.06341 (2017) - [i7]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, José Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert:
Human-level CMR image analysis with deep fully convolutional networks. CoRR abs/1710.09289 (2017) - [i6]Nick Pawlowski, Martin Rajchl, Ben Glocker:
Implicit Weight Uncertainty in Neural Networks. CoRR abs/1711.01297 (2017) - [i5]Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker:
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. CoRR abs/1711.01468 (2017) - [i4]Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl:
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. CoRR abs/1711.06853 (2017) - 2016
- [j15]Thomas Whelan, Renato F. Salas-Moreno, Ben Glocker, Andrew J. Davison, Stefan Leutenegger:
ElasticFusion: Real-time dense SLAM and light source estimation. Int. J. Robotics Res. 35(14): 1697-1716 (2016) - [j14]Ben Glocker, Nikos Paragios, Ramin Zabih:
Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis. Medical Image Anal. 27: 1-2 (2016) - [j13]Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Learning clinically useful information from images: Past, present and future. Medical Image Anal. 33: 13-18 (2016) - [j12]Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki:
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33: 102-106 (2016) - [c57]Emma C. Robinson, Ben Glocker, Martin Rajchl, Daniel Rueckert:
Discrete Optimisation for Group-Wise Cortical Surface Atlasing. CVPR Workshops 2016: 442-448 - [c56]Ender Konukoglu, Ben Glocker:
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. MCV/BAMBI@MICCAI 2016: 3-13 - [c55]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:
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. MLMI@MICCAI 2016: 104-112 - [c54]Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P. F. Lelieveldt, Marius Staring:
Accuracy Estimation for Medical Image Registration Using Regression Forests. MICCAI (3) 2016: 107-115 - [c53]Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker:
DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI 2016: 138-149 - [c52]Sarah Parisot, Ben Glocker, Markus Schirmer, Daniel Rueckert:
GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves. MICCAI (1) 2016: 148-156 - [c51]Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert:
Correction of Fat-Water Swaps in Dixon MRI. MICCAI (3) 2016: 536-543 - [c50]Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz:
Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. MICCAI (2) 2016: 589-597 - [c49]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:
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. MICCAI (2) 2016: 616-623 - [c48]Archontis Giannakidis, Konstantinos Kamnitsas, Veronica Spadotto, Jennifer Keegan, Gillian Smith, Ben Glocker, Daniel Rueckert, Sabine Ernst, Michael A. Gatzoulis, Dudley J. Pennell, Sonya Babu-Narayan, David N. Firmin:
Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network. SITIS 2016: 42-46 - [e2]Tomaz Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro F. Frangi, Guoyan Zheng, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9402, Springer 2016, ISBN 978-3-319-41826-1 [contents] - [e1]Jianhua Yao, Tomaz Vrtovec, Guoyan Zheng, Alejandro F. Frangi, Ben Glocker, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10182, Springer 2016, ISBN 978-3-319-55049-7 [contents] - [i3]Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker:
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation. CoRR abs/1603.05959 (2016) - [i2]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:
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR abs/1612.08894 (2016) - 2015
- [j11]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, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [j10]Ben Glocker, Jamie Shotton, Antonio Criminisi, Shahram Izadi:
Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding. IEEE Trans. Vis. Comput. Graph. 21(5): 571-583 (2015) - [c47]Amir Alansary, Matthew C. H. Lee, Kevin Keraudren, Bernhard Kainz, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert:
Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. MLMMI@ICML 2015: 13-22 - [c46]Pedro D. Kostelec, Leo M. Carlin, Ben Glocker:
Learning to detect and track cells for quantitative analysis of time-lapse microscopic image sequences. ISBI 2015: 1544-1547 - [c45]Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. MLMI 2015: 94-101 - [c44]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:
Learning and Combining Image Similarities for Neonatal Brain Population Studies. MLMI 2015: 110-117 - [c43]David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers:
Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. MICCAI (1) 2015: 653-660 - [c42]Thomas Whelan, Stefan Leutenegger, Renato F. Salas-Moreno, Ben Glocker, Andrew J. Davison:
ElasticFusion: Dense SLAM Without A Pose Graph. Robotics: Science and Systems 2015 - [c41]Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker:
Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces. WACV 2015: 1046-1053 - 2014
- [j9]Darko Zikic, Ben Glocker, Antonio Criminisi:
Encoding atlases by randomized classification forests for efficient multi-atlas label propagation. Medical Image Anal. 18(8): 1262-1273 (2014) - [c40]Abner Guzmán-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon, Shahram Izadi:
Multi-output Learning for Camera Relocalization. CVPR 2014: 1114-1121 - [c39]Renato F. Salas-Moreno, Ben Glocker, Paul H. J. Kelly, Andrew J. Davison:
Dense planar SLAM. ISMAR 2014: 157-164 - [c38]Renato F. Salas-Moreno, Ben Glocker, Paul H. J. Kelly, Andrew J. Davison:
Dense planar SLAM. ISMAR 2014: 367-368 - [c37]Darko Zikic, Ben Glocker, Antonio Criminisi:
Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios. MCV 2014: 116-124 - [c36]Ben Glocker, Darko Zikic, David R. Haynor:
Robust Registration of Longitudinal Spine CT. MICCAI (1) 2014: 251-258 - [c35]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, Michela Azzarito, Ben Glocker, Peter Chin, Frank Dahlke, Chris Polman, Ludwig Kappos, Bernard M. J. Uitdehaag, Antonio Criminisi:
Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos. MICCAI (2) 2014: 429-437 - [c34]Zehan Wang, Kanwal K. Bhatia, Ben Glocker, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, Daniel Rueckert:
Geodesic Patch-Based Segmentation. MICCAI (1) 2014: 666-673 - 2013
- [j8]Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood approximation using randomized forests. Medical Image Anal. 17(7): 790-804 (2013) - [j7]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2284-2297 (2013) - [j6]Tim Hauke Heibel, Ben Glocker, Martin Groher, Marcus Pfister, Nassir Navab:
Interventional Tool Tracking Using Discrete Optimization. IEEE Trans. Medical Imaging 32(3): 544-555 (2013) - [c33]Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew W. Fitzgibbon:
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images. CVPR 2013: 2930-2937 - [c32]Ben Glocker, Shahram Izadi, Jamie Shotton, Antonio Criminisi:
Real-time RGB-D camera relocalization. ISMAR 2013: 173-179 - [c31]Darko Zikic, Ben Glocker, Antonio Criminisi:
Atlas Encoding by Randomized Forests for Efficient Label Propagation. MICCAI (3) 2013: 66-73 - [c30]Ben Glocker, Darko Zikic, Ender Konukoglu, David R. Haynor, Antonio Criminisi:
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. MICCAI (2) 2013: 262-270 - [c29]Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu:
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) 2013: 606-613 - [c28]Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl:
Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? MICCAI (1) 2013: 631-638 - 2012
- [j5]Marco Feuerstein, Ben Glocker, Takayuki Kitasaka, Yoshihiko Nakamura, Shingo Iwano, Kensaku Mori:
Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes. Medical Image Anal. 16(1): 63-74 (2012) - [j4]Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl:
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31(12): 2278-2289 (2012) - [c27]Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi:
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. ECCV (4) 2012: 870-881 - [c26]Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood Approximation Forests. MICCAI (3) 2012: 75-82 - [c25]Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price:
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) 2012: 369-376 - [c24]Ben Glocker, Johannes Feulner, Antonio Criminisi, David R. Haynor, Ender Konukoglu:
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. MICCAI (3) 2012: 590-598 - [i1]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity. CoRR abs/1208.5016 (2012) - 2011
- [b1]Benjamin M. Glocker:
Random fields for image registration. Technical University Munich, 2011, pp. 1-103 - [j3]Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [c23]Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez-Möller, Stephan G. Nekolla, Nassir Navab:
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. MICCAI (3) 2011: 239-247 - 2010
- [j2]Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab:
Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Anal. 14(4): 550-562 (2010) - [c22]Ben Glocker, Tim Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother:
TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods. ECCV (3) 2010: 272-285 - [c21]Tim Hauke Heibel, Ben Glocker, Nikos Paragios, Nassir Navab:
Needle tracking through higher-order MRF optimization. ISBI 2010: 624-627 - [c20]Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios:
Simultaneous Geometric - Iconic Registration. MICCAI (2) 2010: 676-683 - [c19]Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab:
Markov random field optimization for intensity-based 2D-3D registration. Image Processing 2010: 762334
2000 – 2009
- 2009
- [c18]Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
MRI Composing for Whole Body Imaging. Bildverarbeitung für die Medizin 2009: 420-424 - [c17]Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab:
Discrete tracking of parametrized curves. CVPR 2009: 1754-1761 - [c16]Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios:
Dense Registration with Deformation Priors. IPMI 2009: 540-551 - [c15]Ben Glocker, Darko Zikic, Nikos Komodakis, Nikos Paragios, Nassir Navab:
Linear Image Registration Through MRF Optimization. ISBI 2009: 422-425 - [c14]Ben Glocker, Nikos Komodakis, Nikos Paragios, Nassir Navab:
Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. ISVC (1) 2009: 1101-1109 - [c13]Selen Atasoy, Ben Glocker, Stamatia Giannarou, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab:
Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy. MICCAI (1) 2009: 499-506 - [c12]Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios:
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) 2009: 672-679 - [c11]Christian Wachinger, Simon Baumann, Jochen Zeltner, Ben Glocker, Nassir Navab:
Sphere extraction in MR images with application to whole-body MRI. Image Processing 2009: 72594J - 2008
- [j1]Ben Glocker, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Nikos Paragios:
Dense image registration through MRFs and efficient linear programming. Medical Image Anal. 12(6): 731-741 (2008) - [c10]Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab:
Effiziente nichtlineare Registrierung mittels diskreter Optimierung. Bildverarbeitung für die Medizin 2008: 87-91 - [c9]Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab:
Optical flow estimation with uncertainties through dynamic MRFs. CVPR 2008 - [c8]Michael Sass Hansen, Rasmus Larsen, Ben Glocker, Nassir Navab:
Adaptive parametrization of multivariate B-splines for image registration. CVPR 2008 - [c7]Darko Zikic, Michael Sass Hansen, Ben Glocker, Ali Khamene, Rasmus Larsen, Nassir Navab:
Computing minimal deformations: application to construction of statistical shape models. CVPR 2008 - [c6]Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
Deformable Mosaicing for Whole-Body MRI. MICCAI (2) 2008: 113-121 - [c5]Selen Atasoy, Martin Groher, Darko Zikic, Ben Glocker, Tobias Waggershauser, Marcus Pfister, Nassir Navab:
Real-time respiratory motion tracking: roadmap correction for hepatic artery catheterizations. Image-Guided Procedures 2008: 691815 - 2007
- [c4]Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab:
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. IPMI 2007: 408-420 - [c3]Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios:
4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. ISVC (1) 2007: 189-198 - [c2]Ben Glocker, Sonja Buhmann, Chlodwig Kirchhoff, Thomas Mussack, Maximilian Reiser, Nassir Navab:
Towards a computer-aided diagnosis system for colon motility dysfunctions. Computer-Aided Diagnosis 2007: 65140B - [c1]Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab:
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. MICCAI (2) 2007: 536-543
Coauthor Index
Daniel C. Castro
aka: Daniel Coelho de Castro
aka: Daniel Coelho de Castro
[i101] [j49] [j44] [j43] [c99] [c95] [c94] [i75] [i72] [i65] [c90] [c88] [i57] [i54] [j35] [j34] [j32] [c85] [i49] [j30] [j29] [j27] [j26] [c77] [c76] [c74] [c72] [c71] [c70] [c69] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i22] [i20] [i19] [j23] [j21] [j20] [j19] [j18] [j17] [c68] [c66] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i5] [i4] [j13] [c57] [c55] [c53] [c52] [c51] [c50] [c48] [i3] [i2] [c47] [c45] [c44] [c34]
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