Prof. Dr.-Ing. Katharina Breininger

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

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 Diagnosis of malignancy in oropharyngeal confocal laser endomicroscopy using GPT 4.0 with vision (2024) Sievert M, Aubreville M, Müller SK, Eckstein M, Breininger K, Iro H, Goncalves M Journal article Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability (2024) Wang R, Bradley C, Herbert P, Hou K, Hager GD, Breininger K, Unberath M, et al. Journal article 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 Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples (2023) Rivera Monroy L, Rist L, Eberhardt M, Ostalecki C, Baur A, Vera J, Breininger K, Maier A 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 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