Publications

Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian-C Jung, Dagmar Krefting, Andreas Kühn, Yuan Peng, Ines Reinecke, Julia Scheel, Tobias Schmidt, Paul Schmücker, Christina Schüttler, Dagmar Waltemath, Michele Zoch, and Martin Sedlmayr. Ten topics to get started in medical informatics research. J. Med. Internet Res., (25):e45948, July 2023. [PUMA: clinical communication; data data; digital health health; informatics; interdisciplinary medical research]

Céline N Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, and Jakob Nikolas Kather. The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups. Histopathology, (80)7:1121--1127, Wiley, June 2022. [PUMA: artificial digital intelligence; pathology; survey]

David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, and Jakob Nikolas Kather. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: AI, Artificial CNN, Communications DICOM, Diagnosis; Digital HCC, Imaging Individual ML, MVI, Medicine; NAFLD, NASH, Prognosis Reporting TACE, TRIPOD, Transparent WSIs, a and artificial carcinoma; chemoembolisation; convolutional data deep diagnostic disease; fatty for hepatocellular images; imaging; in integration intelligence; invasion; learning; liver machine microvascular model multimodal multivariable network; neural non-alcoholic of or prediction slide steatohepatitis; support system; transarterial whole]

Peter Leonard Schrammen, Narmin Ghaffari Laleh, Amelie Echle, Daniel Truhn, Volkmar Schulz, Titus J Brinker, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Alexander Brobeil, Matthias Kloor, Lara R Heij, Dirk Jäger, Christian Trautwein, Heike I Grabsch, Philip Quirke, Nicholas P West, Michael Hoffmeister, and Jakob Nikolas Kather. Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. J. Pathol., (256)1:50--60, Wiley, January 2022. [PUMA: Lynch artificial cancer; colorectal computational deep digital instability intelligence; learning; microsatellite pathology; syndrome;]

Scarlet Brockmoeller, Amelie Echle, Narmin Ghaffari Laleh, Susanne Eiholm, Marie Louise Malmstrøm, Tine Plato Kuhlmann, Katarina Levic, Heike Irmgard Grabsch, Nicholas P West, Oliver Lester Saldanha, Katerina Kouvidi, Aurora Bono, Lara R Heij, Titus J Brinker, Ismayil Gögenür, Philip Quirke, and Jakob Nikolas Kather. Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, March 2022. [PUMA: AI; LNM adipose and artificial biomarker; bowel cancer; colorectal deep digital early inflamed intelligence; learning; metastasis; new pT1 pT2 pathology; prediction predictive tissue;]