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Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset., , , , , , , , and . CoRR, (2022)Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning., , , , , , , , and . Bildverarbeitung für die Medizin, page 137-142. Springer, (2024)Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 136. Springer, (2024)Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning., , , , , , , , , and 8 other author(s). Bildverarbeitung für die Medizin, page 10. Springer, (2024)Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 260. Springer, (2021)Iterative Cross-Scanner Registration for Whole Slide Images., , , , , , , and . ICCVW, page 582-590. IEEE, (2021)Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks., , , and . BIOIMAGING, page 30-37. SciTePress, (2019)978-989-758-353-7.Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides., , , , , , , , , and 6 other author(s). CoRR, (2019)Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment., , , , , and . CoRR, (2019)Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset., , , , , and . CoRR, (2020)