Prof. Dr.-Ing. Katharina Breininger

Juniorprofessur für Artificial Intelligence in Medical Imaging

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of Radiomic Features (2025) Rivera Monroy L, Rist L, Ostalecki C, Bauer A, Vera González J, Breininger K, Maier A Unpublished / Preprint Deep learning-based identification of eyes at risk for glaucoma surgery (2024) Wang R, Bradley C, Herbert P, Hou K, Ramulu P, Breininger K, Unberath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 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 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 Oral mucosa - an examination map for confocal laser endomicroscopy within the oral cavity: an experimental clinical study (2024) Oetter N, Pröll J, Sievert M, Goncalves M, Rohde M, Nobis CP, Knipfer C, et al. Journal article Multi-level cancer profiling through joint cell-graph representations (2024) Rivera Monroy L, Rist L, Wilm F, Ostalecki C, Baur A, Vera González J, Breininger K, Maier A Journal article Appearance-based Debiasing of Deep Learning Models in Medical Imaging (2024) Wilm F, Reimann MK, Taubmann O, Mühlberg A, Breininger K Conference contribution, Conference Contribution Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning (2024) Ganz J, Puget C, Ammeling J, Parlak E, Kiupel M, Bertram CA, Breininger K, et al. Conference contribution, Conference Contribution Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors (2024) Aubreville M, Pan Z, Sievert M, Ammeling J, Ganz J, Oetter N, Stelzle F, et al. Conference contribution, Conference Contribution Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks (2024) Rivera Monroy L, Rist L, Eberhardt M, Ostalecki C, Bauer A, Vera J, Breininger K, Maier A Conference contribution