Kather, Jakob Nikolas

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Journal Article

Albrecht, Thomas; Rossberg, Annik; Albrecht, Jana Dorothea; Nicolay, Jan Peter; Straub, Beate Katharina; Gerber, Tiemo Sven; Albrecht, Michael; Brinkmann, Fritz; Charbel, Alphonse; Schwab, Constantin; Schreck, Johannes; Brobeil, Alexander; Flechtenmacher, Christa; von Winterfeld, Moritz; Köhler, Bruno Christian; Springfeld, Christoph; Mehrabi, Arianeb; Singer, Stephan; Vogel, Monika Nadja; Neumann, Olaf; ... (2023). Deep learning-enabled diagnosis of liver adenocarcinoma. Gastroenterology, 165(5), pp. 1262-1275. Elsevier 10.1053/j.gastro.2023.07.026

Saldanha, Oliver Lester; Muti, Hannah Sophie; Grabsch, Heike I; Langer, Rupert; Dislich, Bastian; Kohlruss, Meike; Keller, Gisela; van Treeck, Marko; Hewitt, Katherine Jane; Kolbinger, Fiona R; Veldhuizen, Gregory Patrick; Boor, Peter; Foersch, Sebastian; Truhn, Daniel; Kather, Jakob Nikolas (2023). Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning. Gastric cancer, 26(2), pp. 264-274. Springer 10.1007/s10120-022-01347-0

Ghaffari Laleh, Narmin; Muti, Hannah Sophie; Loeffler, Chiara Maria Lavinia; Echle, Amelie; Saldanha, Oliver Lester; Mahmood, Faisal; Lu, Ming Y; Trautwein, Christian; Langer, Rupert; Dislich, Bastian; Buelow, Roman D; Grabsch, Heike Irmgard; Brenner, Hermann; Chang-Claude, Jenny; Alwers, Elizabeth; Brinker, Titus J; Khader, Firas; Truhn, Daniel; Gaisa, Nadine T; Boor, Peter; ... (2022). Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical image analysis, 82(102622), p. 102622. Elsevier 10.1016/j.media.2022.102622

Ghaffari Laleh, Narmin; Truhn, Daniel; Veldhuizen, Gregory Patrick; Han, Tianyu; van Treeck, Marko; Buelow, Roman D; Langer, Rupert; Dislich, Bastian; Boor, Peter; Schulz, Volkmar; Kather, Jakob Nikolas (2022). Adversarial attacks and adversarial robustness in computational pathology. Nature Communications, 13(1), p. 5711. Springer Nature 10.1038/s41467-022-33266-0

Ghaffari Laleh, Narmin; Muti, Hannah Sophie; Loeffler, Chiara Maria Lavinia; Echle, Amelie; Saldanha, Oliver Lester; Mahmood, Faisal; Lu, Ming Y; Trautwein, Christian; Langer, Rupert; Dislich, Bastian; Buelow, Roman D; Grabsch, Heike Irmgard; Brenner, Hermann; Chang-Claude, Jenny; Alwers, Elizabeth; Brinker, Titus J; Khader, Firas; Truhn, Daniel; Gaisa, Nadine T; Boor, Peter; ... (2022). Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical image analysis, 79, p. 102474. Elsevier 10.1016/j.media.2022.102474

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