| 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 | 526 | 2020 |
| 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 | 496 | 2023 |
| Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: A retrospective multicentre cohort … HS Muti, LR Heij, G Keller, M Kohlruss, R Langer, B Dislich, JH Cheong, ... The Lancet Digital Health, 2021 | 109 | 2021 |
| Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application A Echle, NG Laleh, P Quirke, HI Grabsch, HS Muti, OL Saldanha, ... ESMO open 7 (2), 100400, 2022 | 83 | 2022 |
| Classical mathematical models for prediction of response to chemotherapy and immunotherapy N Ghaffari Laleh, CML Loeffler, J Grajek, K Staňková, AT Pearson, ... PLOS Computational Biology 18 (2), e1009822, 2022 | 73 | 2022 |
| Regression-based Deep-Learning predicts molecular biomarkers from pathology slides OSM El Nahhas, CML Loeffler, ZI Carrero, M van Treeck, FR Kolbinger, ... arXiv preprint arXiv:2304.05153, 2023 | 41 | 2023 |
| Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning OL Saldanha, HS Muti, HI Grabsch, R Langer, B Dislich, M Kohlruss, ... Gastric cancer 26 (2), 264-274, 2023 | 26 | 2023 |
| Deep learning detects virus presence in cancer histology JN Kather, J Schulte, HI Grabsch, C Loeffler, H Muti, J Dolezal, ... bioRxiv, 690206, 2019 | 26 | 2019 |
| Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types. CML Loeffler, NT Gaisa, HS Muti, M van Treeck, A Echle, C Trautwein, ... Frontiers in Genetics 12, 806386-806386, 2021 | 21 | 2021 |
| End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study X Jiang, M Hoffmeister, H Brenner, HS Muti, T Yuan, S Foersch, NP West, ... The Lancet Digital Health 6 (1), e33-e43, 2024 | 20 | 2024 |
| The Aachen protocol for deep learning histopathology: a hands-on guide for data preprocessing HS Muti, C Loeffler, A Echle, LR Heij, RD Buelow, J Krause, L Broderius, ... Zenodo, 2020 | 18 | 2020 |
| Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study HS Muti, C Röcken, HM Behrens, CML Loeffler, NG Reitsam, B Grosser, ... European Journal of Cancer, 113335, 2023 | 11 | 2023 |
| Benchmarking foundation models as feature extractors for weakly-supervised computational pathology P Neidlinger, OSM El Nahhas, HS Muti, T Lenz, M Hoffmeister, H Brenner, ... arXiv preprint arXiv:2408.15823, 2024 | 10 | 2024 |
| Characterisation of tumour-immune phenotypes and PD-L1 positivity in squamous bladder cancer M Jung, M Rose, R Knuechel, C Loeffler, H Muti, JN Kather, NT Gaisa, ... BMC cancer 23 (1), 113, 2023 | 10 | 2023 |
| Benchmarking artificial intelligence methods for end-to-end computational pathology NG Laleh, HS Muti, CML Loeffler, A Echle, OL Saldanha, F Mahmood, ... bioRxiv, 2021 | 10 | 2021 |
| Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study GP Veldhuizen, C Röcken, HM Behrens, D Cifci, HS Muti, T Yoshikawa, ... Gastric Cancer, 1-13, 2023 | 9 | 2023 |
| Novel biomarker SARIFA in colorectal cancer: highly prognostic, not genetically driven and histologic indicator of a distinct tumor biology NG Reitsam, V Grozdanov, CML Löffler, HS Muti, B Grosser, JN Kather, ... Cancer Gene Therapy, 1-10, 2023 | 8 | 2023 |
| Direct Image to Subtype Prediction for Brain Tumors using Deep Learning KJ Hewitt, CML Löffler, HS Muti, AS Berghoff, C Eisenlöffel, M van Treeck, ... Neuro-Oncology Advances, vdad139, 2023 | 8 | 2023 |
| Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology NG Laleh, A Echle, HS Muti, KJ Hewitt, S Volkmar, JN Kather MICCAI Workshop on Computational Pathology, 81-93, 2021 | 3 | 2021 |
| Author Correction: 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 (11), 1129-1129, 2020 | 3 | 2020 |
Jakob Nikolas Kather, MD, MScElse Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germanyכתובת אימייל מאומתת בדומיין tu-dresden.de