Multimodal artificial intelligence models from baseline histopathology to predict prognosis in HR+ HER2- early breast cancer: Subgroup analysis.
2024 · Journal of Clinical Oncology · 2 citations
https://doi.org/10.1200/jco.2024.42.16_suppl.101
D
Daniel Kates-Harbeck
LMU Klinikum(DE)
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Daniel Kates-Harbeck is an academic researcher from LMU Klinikum. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Breast Cancer Treatment Studies. The author has an h-index of 1, co-authored 5 publications.
ORCID: 0009-0001-5160-5777Papers by this author
worksUse of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer.
2025 · Journal of Clinical Oncology · 0 citations
https://doi.org/10.1200/jco.2025.43.16_suppl.e13652
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer
2025 · JCO Clinical Cancer Informatics · 0 citations
https://doi.org/10.1200/cci-24-00287
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