Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. - Marek Wodzinski; Artur Jurgas; Niccolò Marini; Manfredo Atzori; Henning Müller (BrainLes@MICCAI, 2022)

Artifact Augmentation for Learning-based Quality Control of Whole Slide Images. - Artur Jurgas; Marek Wodzinski; Weronika Celniak; Manfredo Atzori; Henning Müller (EMBC, 2023)

Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images. - Artur Jurgas; Marek Wodzinski; Manfredo Atzori; Henning Müller (PCBBE, 2023)

Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation. - Artur Jurgas; Marek Wodzinski; Marina D'Amato; Jeroen van der Laak; Manfredo Atzori; Henning Müller (CoRR, 2024)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (Medical Image Anal., 2024)

Markerless Registration and Visualization of Volumetric Medical Data for Enhanced Surgical Precision Using Head-Mounted Displays. - Artur Jurgas; Michal Trojak; Maciej Stanuch; Andrzej Skalski (VR Workshops, 2025)

Mixed Reality 6D Object Pose Estimation using Deep Learning for Visual Markerless Surgical Navigation. - Michal Trojak; Artur Jurgas; Maciej Stanuch; Lukasz Kownacki; Andrzej Skalski (VR Workshops, 2025)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - Yudi Sang; Yanzhen Liu; Sutuke Yibulayimu; Yunning Wang; Benjamin D. Killeen; Mingxu Liu; Ping-Cheng Ku; Ole Johannsen; Karol Gotkowski; Maximilian Zenk; Klaus H. Maier-Hein; Fabian Isensee; et al. (CoRR, 2025)