Prof. Dr.-Ing. Katharina Breininger

Juniorprofessur für Artificial Intelligence in Medical Imaging Department Artificial Intelligence in Biomedical Engineering

Graph Neural Networks in Multi-Stained Pathological Imaging: Extended Comparative Analysis of Radiomic Features (2025) Rivera Monroy L, Rist L, Ostalecki C, Bauer A, Vera González J, Breininger K, Maier A Unpublished / Preprint Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation (2025) Öttl M, Wilm F, Steenpaß J, Qiu J, Rübner M, Fasching P, Maier A, et al. Unpublished / Preprint Analysing Diffusion Segmentation for Medical Images (2025) Öttl M, Mei S, Wilm F, Steenpaß J, Rübner M, Hartmann A, Beckmann M, et al. Unpublished / Preprint Rethinking U-net Skip Connections for Biomedical Image Segmentation (2025) Wilm F, Ammeling J, Öttl M, Fick RHJ, Aubreville M, Breininger K Unpublished / Preprint Deep learning-based identification of eyes at risk for glaucoma surgery (2024) Wang R, Bradley C, Herbert P, Hou K, Ramulu P, Breininger K, Unberath M, Yohannan J Journal article Author Correction: A comprehensive multi-domain dataset for mitotic figure detection (Scientific Data, (2023), 10, 1, (484), 10.1038/s41597-023-02327-4) (2024) Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan TA, Jabari S, Veta M, et al. Journal article, Erratum Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features (2024) Rivera Monroy L, Rist L, Ostalecki C, Bauer A, Vera J, Breininger K, Maier A Journal article Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma (2024) Gomaa A, Huang Y, Hagag A, Schmitter C, Höfler D, Weissmann T, Breininger K, et al. Journal article, Original article Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis (2024) Schlereth M, Yalcin-Mutlu M, Utz J, Bayat S, Heimann T, Qiu J, Ehring C, et al. Journal article Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge (2024) Aubreville M, Stathonikos N, Donovan TA, Klopfleisch R, Ammeling J, Ganz J, Wilm F, et al. Journal article