Evaluating Optical Flow Vectors Under Varying Computer-Generated Snow Intensities and Pixel Density for Autonomous Vehicles. - Vikas Agrawal; Marcel Frueh; Oliver Bringmann 001; Wolfgang Rosenstiel (DSN Workshops, 2018)

Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision. - Marcel Frueh; Andreas Schilling 001; Sergios Gatidis; Thomas Küstner (IEEE Access, 2022)

Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort. - Marcel Frueh; Thomas Küstner; Marcel Nachbar; Daniela Thorwarth; Andreas Schilling 001; Sergios Gatidis (Comput. Methods Programs Biomed., 2022)

Label Efficient Deep Learning in Medical Imaging - Marcel Frueh (2023)

Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40, 000 Subjects of the UK Biobank. - Veronika Ecker; Marcel Früh; Bin Yang 009; Sergios Gatidis; Thomas Küstner (ICASSP, 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)