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Deep Learning for Musculoskeletal Image Analysis., , , и . CoRR, (2020)GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation., , , и . Comput. Vis. Image Underst., 117 (5): 513-524 (2013)How many models/atlases are needed as priors for capturing anatomic population variations?, , и . Medical Image Anal., (2019)Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome., , , , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10578 из SPIE Proceedings, стр. 1057806. SPIE, (2018)Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses., , и . CoRR, (2019)Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes., , , , , , , , , и 1 other автор(ы). CoRR, (2022)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset., , , , , , , , , и 19 other автор(ы). CoRR, (2020)Anatomy-guided deep learning for object localization in medical images., , , , , , , , , и 5 other автор(ы). Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Automatic anatomy recognition via multi-object-oriented active shape models., , , , и . Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 72594P. SPIE, (2009)Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images., , , , , , , , , и 4 other автор(ы). Medical Imaging: Image-Guided Procedures, том 10576 из SPIE Proceedings, стр. 1057617. SPIE, (2018)