Deep Learning for Prostate Pathology. - Okyaz Eminaga; Yuri Tolkach; Christian Kunder; Mahmoud Abbas; Ryan Han; Rosalie Nolley; Axel Semjonow; Martin Boegemann; Sebastian Huss; Andreas M. Loening; Robert B. West; Geoffrey A. Sonn; et al. (CoRR, 2019)

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning. - Okyaz Eminaga; Mahmoud Abbas; Yuri Tolkach; Rosalie Nolley; Christian Kunder; Axel Semjonow; Martin Boegemann; Andreas M. Loening; James D. Brooks; Daniel L. Rubin (CoRR, 2019)

Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer. - Okyaz Eminaga; Omran Al-Hamad; Martin Boegemann; Bernhard Breil; Axel Semjonow (Health Informatics J., 2020)

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology. - Okyaz Eminaga; Mahmoud Abbas; Christian Kunder; Yuri Tolkach; Ryan Han; James D. Brooks; Rosalie Nolley; Axel Semjonow; Martin Boegemann; Robert B. West; Jin Long; Richard E. Fan; et al. (CoRR, 2023)