Prof. Dr.-Ing. Katharina Breininger

Juniorprofessur für Artificial Intelligence in Medical Imaging Department Artificial Intelligence in Biomedical Engineering (AIBE)

Leveraging Image Captions for Selective Whole Slide Image Annotation (2024) Qiu J, Aubreville M, Wilm F, Öttl M, Utz J, Schlereth M, Breininger K Conference contribution A comprehensive multi-domain dataset for mitotic figure detection (2023) Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan TA, Jabari S, Veta M, et al. Journal article Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation (2023) Qiu J, Wilm F, Öttl M, Schlereth M, Liu C, Heimann T, Aubreville M, Breininger K Conference contribution, Conference Contribution Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making (2023) Ammeling J, Manger C, Kwaka E, Krügel S, Uhl M, Kießig A, Fritz A, et al. Conference contribution Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography (2023) Denzinger F, Wels M, Taubmann O, Kordon F, Wagner F, Mehltretter S, Gülsün MA, et al. Conference contribution Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples (2023) Rivera Monroy LC, Rist L, Eberhardt M, Ostalecki C, Baur A, Vera J, Breininger K, Maier A Conference contribution Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing (2023) Wölfl AM, Schützenberger A, Breininger K, Kist A Journal article Defining a baseline identification of artifacts in confocal laser endomicroscopy in head and neck cancer imaging (2023) Pan Z, Breininger K, Aubreville M, Stelzle F, Maier A, Oetter N, Mantsopoulos K, et al. Journal article Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry (2023) Wilm F, Ihling C, Méhes G, Terracciano L, Puget C, Klopfleisch R, Schüffler P, et al. Journal article How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography (2023) Denzinger F, Wels M, Breininger K, Taubmann O, Mühlberg A, Allmendinger T, Gülsün MA, et al. Journal article