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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

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

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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI


Mar 11, 2022
Lyndon Boone, Mahdi Biparva, Parisa Mojiri Forooshani, Joel Ramirez, Mario Masellis, Robert Bartha, Sean Symons, Stephen Strother, Sandra E. Black, Chris Heyn, Anne L. Martel, Richard H. Swartz, Maged Goubran

* 30 pages, 13 figures. For associated GitHub repository, see https://github.com/AICONSlab/roodmri 

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Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling


Mar 09, 2022
Jianan Chen, Anne L. Martel


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BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports


Oct 14, 2021
Grey Kuling, Dr. Belinda Curpen, Anne L. Martel


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Resource and data efficient self supervised learning


Sep 03, 2021
Ozan Ciga, Tony Xu, Anne L. Martel


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Self-supervised driven consistency training for annotation efficient histopathology image analysis


Feb 09, 2021
Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel


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AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases


Dec 12, 2020
Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel


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Overcoming the limitations of patch-based learning to detect cancer in whole slide images


Dec 01, 2020
Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel


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Self supervised contrastive learning for digital histopathology


Nov 27, 2020
Ozan Ciga, Anne L. Martel, Tony Xu


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Learning to segment images with classification labels


Dec 28, 2019
Ozan Ciga, Anne L. Martel


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