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Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method.

, , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (7): 977-986 (2018)

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Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models., , , , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 190-197. Springer, (2013)Estimation of attachment regions of hip muscles in CT image using muscle attachment probabilistic atlas constructed from measurements in eight cadavers., , , , , , , , , and 3 other author(s). Int. J. Comput. Assist. Radiol. Surg., 12 (5): 733-742 (2017)Automated Segmentation of the Femur and Pelvis from 3D CT Data of Diseased Hip Using Hierarchical Statistical Shape Model of Joint Structure., , , , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 811-818. Springer, (2009)CT-based automated planning of acetabular cup for total hip arthroplasty (THA) based on hybrid use of two statistical atlases., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (12): 2253-2271 (2016)Statistical shape modeling of compound musculoskeletal structures around the thigh region., , , , , and . ISBI, page 885-888. IEEE, (2016)Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume., , , , , , , , , and 2 other author(s). MSKI@MICCAI, volume 10734 of Lecture Notes in Computer Science, page 85-94. Springer, (2017)Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images., , , , , , , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 656-663. Springer, (2017)Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data., , , , , , and . CLIP, volume 7761 of Lecture Notes in Computer Science, page 67-74. Springer, (2012)Cup Implant Planning Based on 2-D/3-D Radiographic Pelvis Reconstruction - First Clinical Results., , , , , , and . IEEE Trans. Biomed. Eng., 62 (11): 2665-2673 (2015)Shape-based acetabular cartilage segmentation: application to CT and MRI datasets., , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (7): 1247-1265 (2016)