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An Aggregation of Aggregation Methods in Computational Pathology


Nov 02, 2022
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir Rajpoot

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* 32 pages, 4 figures 

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Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images


Oct 31, 2022
Imaad Zaffar, Guillaume Jaume, Nasir Rajpoot, Faisal Mahmood

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* 5 pages, 3 figures, 1 table, ISBI 2023 

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Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images


Sep 07, 2022
Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir Rajpoot

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Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge


Aug 26, 2022
Mostafa Jahanifar, Adam Shephard, Neda Zamanitajeddin, Shan E Ahmed Raza, Nasir Rajpoot

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* Method overview regarding MIDOG22 challenge submissions. arXiv admin note: substantial text overlap with arXiv:2109.00853 

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IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification


Aug 23, 2022
Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir Rajpoot

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* Accepted in ECCV2022 MCV Workshop 

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TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge


Jun 23, 2022
Adam Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir Rajpoot, Shan E Ahmed Raza

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* TiGER Challenge entry 

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Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images


Jun 16, 2022
Ruoyu Wang, Syed Ali Khurram, Amina Asif, Lawrence Young, Nasir Rajpoot

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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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Mitosis domain generalization in histopathology images -- The MIDOG challenge


Apr 06, 2022
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger

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* 19 pages, 9 figures, summary paper of the 2021 MICCAI MIDOG challenge 

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One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification


Feb 28, 2022
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz Minhas, David Snead, Nasir Rajpoot

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