False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. - Xin Yu 010; Bin Lou; Bibo Shi; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen; et al. (ISBI, 2020)

Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans. - Xin Yu 010; Bin Lou; Donghao Zhang; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen (MICCAI (4), 2020)

Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses. - David J. Winkel; Hanns-Christian Breit; Thomas J. Weikert; Bram Stieltjes (J. Digit. Imaging, 2021)

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets. - Hao Li; Han Liu; Heinrich von Busch; Robert Grimm 002; Henkjan Huisman; Angela Tong; David J. Winkel; Tobias Penzkofer; Ivan Shabunin; Moon Hyung Choi; Qingsong Yang; Dieter Szolar; et al. (CoRR, 2024)