Prof. Dr.-Ing. Katharina Breininger

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

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 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 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 Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays (2023) Ammeling J, Schmidt LH, Ganz J, Niedermair T, Brochhausen-Delius C, Schulz C, Breininger K, Aubreville M Conference contribution Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis (2023) Shkëmbi G, Müller J, Li Z, Breininger K, Schüffler P, Kainz B Conference contribution Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge (2023) Ammeling J, Wilm F, Ganz J, Breininger K, Aubreville M Conference contribution Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks (2023) Öttl M, Steenpaß J, Rübner M, Geppert CI, Qiu J, Wilm F, Hartmann A, et al. Conference contribution