Publications

Calderaro J, Ghaffari Laleh N, Zeng Q, Maille P, Favre L, Pujals A, … Tantipisit J, Kaewdech A, Shen J, Paradis V, Caruso S, Kather JN. Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma. Nature Communications, 2023, doi: 10.1038/s41467-023-43749-3.

Seraphin TP, Luedde M, Roderburg C, van Treeck M, Scheider P, Buelow RD, Boor P, Loosen SH, Provaznik Z, Mendelsohn D, Berisha F, Magnussen C, Westermann D, Luedde T, Brochhausen C, Sossalla S, Kather JN. Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning. Eur Heart J Digit Health. 2023 doi: 10.1093/ehjdh/ztad016

Saldanha OL, Loeffler CML, Niehues JM, van Treeck M, Seraphin TP, Hewitt KJ, Cifci D, Veldhuizen GP, Ramesh S, Pearson AT, Kather JN. Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology. NPJ Precis Oncol. 2023 doi: 10.1038/s41698-023-00365-0.

Muti HS, Heij LR, Keller G, Kohlruss M, Langer R, Dislich B, … Ebert MP, Jäger D, Trautwein C, Gaisa NT, Grabsch HI, Kather JN. Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study. The Lancet Digital Health, 2021, doi: 10.1016/S2589-7500(21)00133-3.

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