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Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning., , , , , , , , and . Bildverarbeitung für die Medizin, page 137-142. Springer, (2024)Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images., , , , , , , , , and 3 other author(s). CoRR, (2022)Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides., , , , , , , , , and . CoRR, (2024)Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images., , , , , , , , , and 3 other author(s). Bildverarbeitung für die Medizin, page 226-231. Springer, (2023)Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment., , , , , , , , , and 18 other author(s). Bildverarbeitung für die Medizin, page 241-246. Springer, (2021)Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors., , , , , , , , , and 10 other author(s). CoRR, (2023)How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment., , , , , , , , , and 16 other author(s). CoRR, (2020)