Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset. - Daniel Hieber; Georg Prokop; Maximilian Karthan; Felix Holl; Hans A. Kestler; Gregor Grambow; Bruno Märkl; Rüdiger Pryss; Friederike Liesche-Starnecker; Johannes Schobel (CBMS, 2023)

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. - Dominik Müller; Philip Meyer; Lukas Rentschler; Robin Manz; Daniel Hieber; Jonas Bäcker; Samantha Cramer; Christoph Wengenmayr; Bruno Märkl; Ralf Huss; Frank Kramer 001; Iñaki Soto Rey; et al. (MIE, 2024)

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks. - Dominik Müller; Philip Meyer; Lukas Rentschler; Robin Manz; Jonas Bäcker; Samantha Cramer; Christoph Wengenmayr; Bruno Märkl; Ralf Huss; Iñaki Soto Rey; Johannes Raffler (CoRR, 2024)

Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. - Paul Schmidt-Barbo; Gabriel Kalweit; Mehdi Naouar; Lisa Paschold; Edith Willscher; Christoph Schultheiß; Bruno Märkl; Stefan Dirnhofer; Alexandar Tzankov; Mascha Binder; Maria Kalweit (PLoS Comput. Biol., 2024)