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Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports.

, , , , , , , , , , , , , and . J. Digit. Imaging, 35 (3): 524-533 (2022)

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Making Biomedical Ontologies and Ontology Repositories Work., , and . IEEE Intelligent Systems, 19 (6): 78-81 (2004)Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI., , , , , and . CoRR, (2019)Research Paper: Automated Semantic Indexing of Figure Captions to Improve Radiology Image Retrieval., and . JAMIA, 16 (3): 380-386 (2009)Using ontologies linked with geometric models to reason about penetrating injuries., , , , , and . Artif. Intell. Medicine, 37 (3): 167-176 (2006)Adaptive local window for level set segmentation of CT and MRI liver lesions., , , , , , and . Medical Image Anal., (2017)Ontology Development for a Pharmacogenetics Knowledge Base., , , , , and . Pacific Symposium on Biocomputing, page 65-76. (2002)Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease., , , , and . PLoS Comput. Biol., (2008)Accounting for data variability in multi-institutional distributed deep learning for medical imaging., , , and . J. Am. Medical Informatics Assoc., 27 (5): 700-708 (2020)Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles., , , and . Medical Image Anal., (2016)Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies., , , and . J. Digit. Imaging, 33 (2): 287-303 (2020)