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SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification., , , , , , , , , и 1 other автор(ы). PRIME@MICCAI, том 14277 из Lecture Notes in Computer Science, стр. 46-57. Springer, (2023)Doubly Weak Supervision of Deep Learning Models for Head CT., , , , , , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 811-819. Springer, (2019)Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Automatic inference of BI-RADS final assessment categories from narrative mammography report findings., , , , , и . J. Biomed. Informatics, (2019)CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models., , , , , , , и . CoRR, (2024)Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , и 1 other автор(ы). Patterns, 1 (2): 100019 (2020)The utility of general purpose versus specialty clinical databases for research: Warfarin dose estimation from extracted clinical variables., и . J. Biomed. Informatics, 43 (5): 747-751 (2010)A General Framework for Dose Optimization., , , , и . AMIA, AMIA, (2009)