Prof. Dr.-Ing. Katharina Breininger

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

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 Lung, Nodule and Airway Segmentation Using Partially Annotated Data (2023) Querfurth Av, Kordon F, Denzinger F, Breininger K, Kunze H Conference contribution, Abstract of a poster 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 Mitosis domain generalization in histopathology images — The MIDOG challenge (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Journal article Abstract: the MIDOG Challenge 2021 Mitosis Domain Generalization in Histopathology Images (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Conference contribution Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images (2023) Ganz J, Lipnik K, Ammeling J, Richter B, Puget C, Parlak E, Diehl L, et al. Conference contribution