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CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation


Jan 08, 2022
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeon Gyu 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, Sebastien Ourselin, Jonathan Shapey, Tom Vercauteren

* Submitted to Medical Image Analysis 

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Algorithmic encoding of protected characteristics and its implications on disparities across subgroups


Oct 27, 2021
Ben Glocker, Stefan Winzeck

* Code available on https://github.com/biomedia-mira/chexploration 

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Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo


Oct 25, 2021
Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc

* MELBA Special Issue: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) 2020 

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Is MC Dropout Bayesian?


Oct 08, 2021
Loic Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia Schnabel, Ben Glocker


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DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization


Sep 30, 2021
Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert

* Accepted for the DALI workshop at MICCAI 2021 (full oral) 

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Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition


Sep 11, 2021
Mobarakol Islam, Lalithkumar Seenivasan, Hongliang Ren, Ben Glocker

* Presented at the ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning 

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Active label cleaning: Improving dataset quality under resource constraints


Sep 01, 2021
Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

* Currently under peer-review 

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The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification


Aug 11, 2021
Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loic Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel

* Accepted at PRIME, MICCAI 2021 

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The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data


Aug 10, 2021
Vasileios Baltatzis, Loic Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel

* Accepted at iMIMIC, MICCAI 2021 

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Transductive image segmentation: Self-training and effect of uncertainty estimation


Aug 02, 2021
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

* Published at Domain Adaptation and Representation Transfer (DART) wshop at MICCAI 2021. This version improves methods' names and adds 1 experiment in Tab.3a 

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Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data


Jul 31, 2021
Loic Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia Schnabel, Ben Glocker


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A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions


Jul 20, 2021
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir

* 64 pages, v1, preprint submitted to Elsevier, Oliver Diaz and Karim Lekadir contributed equally to this work 

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Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification


Jul 16, 2021
Talha Qaiser, Stefan Winzeck, Theodore Barfoot, Tara Barwick, Simon J. Doran, Martin F. Kaiser, Linda Wedlake, Nina Tunariu, Dow-Mu Koh, Christina Messiou, Andrea Rockall, Ben Glocker

* Accepted at MICCAI 2021 

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Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift


Jul 13, 2021
Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker


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Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps


Jul 06, 2021
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

* MICCAI'21 Main Conference 

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Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis


Jul 06, 2021
Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas

* 11 pages, 3 figures 

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Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation


Apr 28, 2021
Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker


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Common Limitations of Image Processing Metrics: A Picture Story


Apr 13, 2021
Annika Reinke, Matthias Eisenmann, Minu D. 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 Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Bjoern 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

* This is a dynamic paper on limitations of commonly used metrics. The current version discusses segmentation metrics only, while future versions will also include metrics for classification and detection. For missing use cases, comments or questions, please contact [email protected] or [email protected]. Substantial contributions to this document will be acknowledged with a co-authorship 

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Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations


Apr 12, 2021
Mobarakol Islam, Ben Glocker

* Accepted at IPMI 2021 

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Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation


Feb 20, 2021
Zeju Li, Konstantinos Kamnitsas, Ben Glocker

* Published in IEEE Transactions on Medical Imaging 

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Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks


Dec 18, 2020
Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker

* 33 pages, 15 figures 

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Hierarchical Gaussian Processes with Wasserstein-2 Kernels


Oct 28, 2020
Sebastian Popescu, David Sharp, James Cole, Ben Glocker


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Cranial Implant Design via Virtual Craniectomy with Shape Priors


Sep 29, 2020
Franco Matzkin, Virginia Newcombe, Ben Glocker, Enzo Ferrante


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Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy


Jul 11, 2020
Franco Matzkin, Virginia Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante

* Accepted for publication in MICCAI 2020. Update: Figure 1 corrected to match description 

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Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders


Jun 24, 2020
Agostina J Larrazabal, César Martínez, Ben Glocker, Enzo Ferrante

* IEEE Transactions on Medical Imaging (IEEE TMI), 2020 
* Accepted for publication in IEEE Transactions on Medical Imaging (IEEE TMI) 

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Deep Generative Model-based Quality Control for Cardiac MRI Segmentation


Jun 23, 2020
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai

* The paper is accepted to MICCAI 2020 

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