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Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation


Oct 31, 2022
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel

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* Accepted to MELBA 

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Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers


Aug 03, 2022
Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios Tsaftaris, Tal Arbel

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* Accepted to the MIABID workshop at MICCAI 2022 

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Information Gain Sampling for Active Learning in Medical Image Classification


Aug 01, 2022
Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel

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* Paper accepted at UNSURE 2022 workshop at MICCAI 2022 

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Metrics reloaded: Pitfalls and recommendations for image analysis validation


Jun 03, 2022
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 D. Tizabi, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth 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 Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir 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

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* Shared first authors: Lena Maier-Hein, Annika Reinke. arXiv admin note: substantial text overlap with arXiv:2104.05642 

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Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI


Apr 01, 2022
Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel

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* Accepted to MIDL 2022 

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Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation


Aug 02, 2021
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios Tsaftaris, Douglas L. Arnold, Tal Arbel

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* Accepted at DART 2021 

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Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting


Jul 27, 2021
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel

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* Accepted at MIDL 2021 

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HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images


Apr 09, 2021
Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel

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* Accepted at Medical Imaging with Deep Learning (MIDL) 2021 

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