Klinik für Gastroenterologie, Hepatologie und Infektiologie

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Publications on deep learning


This is a list of publications on deep learning by members of our team:

Calderaro J, Kather JN. Artificial intelligence-based pathology for gastrointestinal and hepatobiliary cancers.Gut, 2020 doi: 10.1136/gutjnl-2020-322880. Epub ahead of print.

Kather JN, Calderaro J. Development of AI-based pathology biomarkers in gastrointestinal and liver cancer.Nat Rev Gastroenterol Hepatol, 2020, 17(10):591-592. doi: 10.1038/s41575-020-0343-3.

Kather JN, Heij LR , Grabsch HI , Loeffler C , Echle A , Muti HS, Krause J, Niehues JM, Sommer KA, Bankhead P, Kooreman LFS, Schulte J, Cipriani NA , Bülow RD, Boor P, Ortiz Bruechle N, Hanby AM, Speirs V, Kochanny, Patnaik A, Srisuwananukorn A, Brenner H, Hoffmeister M, van den Brandt PA, Jaeger D, Trautwein C, Pearson AT, Luedde T. Pan-cancer image-based detection of clinically actionable genetic alterations.Nature Cancer, 2020, doi: 10.1038/s43018-020-0087-6

Echle A, Grabsch HI, Quirke P, van den Brandt PA, West NP, Hutchins GGA, Heij LR, Tan X, Richman SD, Krause J, Alwers E, Jenniskens J, Offermans K, Gray R, Brenner H, Chang-Claude J, Trautwein C, Pearson AT, Boor P, Luedde T, Gaisa NT, Hoffmeister M, Kather JN. Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.Gastroenterology, 2020, doi: 10.1053/j.gastro.2020.06.021

Kather JN, Pearson AT, Halama N, Jaeger D, Krause J, Loosen SH, Marx A, Boor P, Tacke F, Neumann UP, Grabsch HI, Yoshikawa T, Brenner H, Chang-Claude J, Hoffmeister M, Trautwein C, Luedde T. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.Nature Medicine, 2019, doi: 10.1038/s41591-019-0462-y

Kather JN, Krisam J, Charoentong P, Luedde T, Herpel E, Weis CA, Gaiser T, Marx A, Valous NA, Ferber D, Jansen L, Reyes-Aldasoro CC, Zörnig I, Jäger D, Brenner H, Chang-Clause J, Hoffmeister M, Halama N. Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.PLOS Medicine, 2019, doi: 10.1371/journal.pmed.1002730

Kather JN, Weis CA, Bianconi F, Melchers SM, Schad LR, Gaiser T, Marx A, Zöllner FG. Multi-class texture analysis in colorectal cancer histology.Scientific Reports, 2016, doi: 10.1038/srep27988

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