Yuri Tolkach

According to our database, Yuri Tolkach authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer.

Clément Grisi, Khrystyna Faryna, Nefise Uysal, Vittorio Agosti, Enrico Munari, Solène-Florence Kammerer-Jacquet, Paulo Guilherme de Oliveira Salles, Yuri Tolkach, Reinhard Büttner, Sofiya Semko, Maksym Pikul, Axel Heidenreich, Jeroen van der Laak, Geert Litjens

CoRR, March, 2026

2024

Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology.

Moritz Fuchs, Mirko Konstantin, Nicolas Schrade, Leonille Schweizer, Yuri Tolkach, Anirban Mukhopadhyay

IEEE J. Biomed. Health Informatics, July, 2024

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer.

Gesa Mittmann, Sara Laiouar-Pedari, Hendrik Alexander 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

CoRR, 2024

2023

Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients.

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

npj Digit. Medicine, 2023

From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models.

Christian Harder, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay

CoRR, 2023

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning.

Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay

CoRR, 2023

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.

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

CoRR, 2023

2022

Federated Stain Normalization for Computational Pathology.

Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

High-accuracy prostate cancer pathology using deep learning.

Yuri Tolkach, Tilmann Dohmgörgen, Marieta Toma, Glen Kristiansen

Nat. Mach. Intell., 2020

2019

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.

Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin

CoRR, 2019

Deep Learning for Prostate Pathology.

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

CoRR, 2019