Jakob Nikolas Kather, MD, MSc
Jakob Nikolas Kather, MD, MSc
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
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Cited by
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Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
JN Kather, AT Pearson, N Halama, D Jäger, J Krause, SH Loosen, A Marx, ...
Nature medicine 25 (7), 1054-1056, 2019
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
JN Kather, J Krisam, P Charoentong, T Luedde, E Herpel, CA Weis, ...
PLoS medicine 16 (1), e1002730, 2019
Multi-class texture analysis in colorectal cancer histology
JN Kather, CA Weis, F Bianconi, SM Melchers, LR Schad, T Gaiser, ...
Scientific Reports 6, 27988, 2016
Pan-cancer image-based detection of clinically actionable genetic alterations
JN Kather, LR Heij, HI Grabsch, C Loeffler, A Echle, HS Muti, J Krause, ...
Nature cancer 1 (8), 789-799, 2020
Deep learning in cancer pathology: a new generation of clinical biomarkers
A Echle, NT Rindtorff, TJ Brinker, T Luedde, AT Pearson, JN Kather
British journal of cancer 124 (4), 686-696, 2021
Topography of cancer-associated immune cells in human solid tumors
JN Kather, M Suarez-Carmona, P Charoentong, CA Weis, D Hirsch, ...
Elife 7, e36967, 2018
Clinical-grade detection of microsatellite instability in colorectal tumors by deep learning
A Echle, HI Grabsch, P Quirke, PA van den Brandt, NP West, ...
Gastroenterology 159 (4), 1406-1416. e11, 2020
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
MA Schulz, BTT Yeo, JT Vogelstein, J Mourao-Miranada, JN Kather, ...
Nature communications 11 (1), 4238, 2020
The impact of site-specific digital histology signatures on deep learning model accuracy and bias
FM Howard, J Dolezal, S Kochanny, J Schulte, H Chen, L Heij, D Huo, ...
Nature communications 12 (1), 4423, 2021
The future landscape of large language models in medicine
J Clusmann, FR Kolbinger, HS Muti, ZI Carrero, JN Eckardt, NG Laleh, ...
Communications medicine 3 (1), 141, 2023
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
A Shmatko, N Ghaffari Laleh, M Gerstung, JN Kather
Nature cancer 3 (9), 1026-1038, 2022
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
S Haggenmüller, RC Maron, A Hekler, JS Utikal, C Barata, RL Barnhill, ...
European Journal of Cancer 156, 202-216, 2021
100,000 histological images of human colorectal cancer and healthy tissue
JN Kather, N Halama, A Marx
Zenodo10 5281 (9), 2018
Genomics and emerging biomarkers for immunotherapy of colorectal cancer
JN Kather, N Halama, D Jaeger
Seminars in cancer biology 52, 189-197, 2018
Swarm learning for decentralized artificial intelligence in cancer histopathology
OL Saldanha, P Quirke, NP West, JA James, MB Loughrey, HI Grabsch, ...
Nature medicine 28 (6), 1232-1239, 2022
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
NG Laleh, HS Muti, CML Loeffler, A Echle, OL Saldanha, F Mahmood, ...
Medical image analysis 79, 102474, 2022
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
D Nam, J Chapiro, V Paradis, TP Seraphin, JN Kather
Jhep Reports 4 (4), 100443, 2022
In Silico Modeling of Immunotherapy and Stroma-Targeting Therapies in Human Colorectal Cancer
JN Kather, J Poleszczuk, M Suarez-Carmona, J Krisam, P Charoentong, ...
Cancer research 77 (22), 6442-6452, 2017
Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review
S Kuntz, E Krieghoff-Henning, JN Kather, T Jutzi, J Höhn, L Kiehl, ...
European Journal of Cancer 155, 200-215, 2021
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
S Foersch, C Glasner, AC Woerl, M Eckstein, DC Wagner, S Schulz, ...
Nature medicine 29 (2), 430-439, 2023
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