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Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations.

, , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)

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Abdominal muscle segmentation from CT using a convolutional neural network., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170L. SPIE, (2020)Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome Measures., , , , , , , , , and 1 other author(s). Adv. Artif. Intell. Mach. Learn., 2 (4): 540-556 (2022)Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Kinematic simulations of static radiographs provides discriminating features of multiple hip pathologies., , , , and . EMBC, page 4992-4995. IEEE, (2020)