Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes. - Christof Winter; Glen Kristiansen; Stephan Kersting; Janine Roy; Daniela Aust; Thomas Knösel; Petra Rümmele; Beatrix Jahnke; Vera Hentrich; Felix Rückert; Marco Niedergethmann; Wilko Weichert; et al. (PLoS Comput. Biol., 2012)

Prostate malignancy grading using gland-related shape descriptors. - Ulf-Dietrich Braumann; Patrick Scheibe; Markus Loeffler; Glen Kristiansen; Nicolas Wernert (Digital Pathology, 2014)

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. - Peter Ström; Kimmo Kartasalo; Henrik Olsson; Leslie Solorzano; Brett Delahunt; Daniel M. Berney; David G. Bostwick; Andrew J. Evans; David J. Grignon; Peter A. Humphrey; Kenneth A. Iczkowski; James G. Kench; et al. (CoRR, 2019)

Neural Network for Analyzing Prostate Cancer Tissue Microarrays. - Markus Bauer; Sebastian Zürner; Georg Popp; Glen Kristiansen; Ulf-Dietrich Braumann (Bildverarbeitung für die Medizin, 2020)

High-accuracy prostate cancer pathology using deep learning. - Yuri Tolkach; Tilmann Dohmgörgen; Marieta Toma; Glen Kristiansen (Nat. Mach. Intell., 2020)

An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. - Markus Bauer; Lennart Schneider; Marit Bernhardt; Christoph Augenstein; Glen Kristiansen; Bogdan Franczyk (ICEIS (1), 2024)