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Journal Articles
- 2024
[j3]Moritz Fuchs
, Mirko Konstantin, Nicolas Schrade, Leonille Schweizer, Yuri Tolkach, Anirban Mukhopadhyay:
Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology. IEEE J. Biomed. Health Informatics 28(7): 4094-4104 (2024)- 2023
- [j2]Sebastian Klein, Nora Wuerdemann, Imke Demers, Christopher Kopp, Jennifer Quantius, Arthur Charpentier, Yuri Tolkach, Klaus Brinker, Shachi Jenny Sharma, Julie George, Jochen Hess, Fabian Stögbauer, Martin Lacko, Marijn Struijlaart, Mari F. C. M. van den Hout, Steffen Wagner, Claus Wittekindt, Christine Langer, Christoph Arens, Reinhard Büttner, Alexander Quaas, Hans Christian Reinhardt, Ernst-Jan Speel, Jens Peter Klussmann:
Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. npj Digit. Medicine 6 (2023) - 2020
- [j1]Yuri Tolkach, Tilmann Dohmgörgen, Marieta Toma, Glen Kristiansen:
High-accuracy prostate cancer pathology using deep learning. Nat. Mach. Intell. 2(7): 411-418 (2020)
Conference and Workshop Papers
- 2022
- [c1]Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
Federated Stain Normalization for Computational Pathology. MICCAI (2) 2022: 14-23
Informal and Other Publications
- 2024
- [i7]Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda, Nadine T. Gaisa, Mathias Wagner, Gilbert Georg Klamminger, Tilman T. Rau, Christina Neppl, Eva Maria Compérat, Andreas Gocht, Monika Hämmerle, Niels J. Rupp, Jula Westhoff, Irene Krücken, Maximillian Seidl, Christian M. Schürch, Marcus Bauer, Wiebke Solass, Yu Chun Tam, Florian Weber, Rainer Grobholz, Jaroslaw Augustyniak, Thomas Kalinski, Christian Hörner, Kirsten D. Mertz, Constanze Döring, Andreas Erbersdobler, Gabriele Deubler, Felix Bremmer, Ulrich Sommer, Michael Brodhun, Jon Griffin, Maria Sarah L. Lenon, Kiril Trpkov, Liang Cheng, Fei Chen, Angelique Levi, Guoping Cai, Tri Q. Nguyen, Ali Amin, Alessia Cimadamore, Ahmed Shabaik, Varsha Manucha, Nazeel Ahmad, Nidia Messias, Francesca Sanguedolce, Diana Taheri, Ezra Baraban, Liwei Jia, Rajal B. Shah, Farshid Siadat, Nicole Swarbrick, Kyung Park, Oudai Hassan, Siamak Sakhaie, Michelle R. Downes, Hiroshi Miyamoto, Sean R. Williamson, Tim Holland-Letz, Carolin V. Schneider, Jakob Nikolas Kather, Yuri Tolkach, Titus J. Brinker:
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer. CoRR abs/2410.15012 (2024) - 2023
- [i6]Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach, Ryan Han, James D. Brooks, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Robert B. West, Jin Long, Richard E. Fan, Olaf Bettendorf:
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology. CoRR abs/2308.11992 (2023) - [i5]Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay:
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. CoRR abs/2309.00688 (2023) - [i4]Christian Harder, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models. CoRR abs/2310.16695 (2023) - 2022
- [i3]Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
Federated Stain Normalization for Computational Pathology. CoRR abs/2209.14849 (2022) - 2019
- [i2]Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmoud Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas M. Loening, Robert B. West, Geoffrey A. Sonn, Richard E. Fan, Olaf Bettendorf, James D. Brooks, Daniel L. Rubin:
Deep Learning for Prostate Pathology. CoRR abs/1910.04918 (2019) - [i1]Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin:
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning. CoRR abs/1910.09100 (2019)
Coauthor Index
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