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Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation.

, , , , , and . IEEE Trans. Medical Imaging, 34 (8): 1663-1675 (2015)

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2D segmentation of intervertebral discs and its degree of degeneration from T2-weighted magnetic resonance images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903517. SPIE, (2014)3D active shape models of human brain structures: application to patient-specific mesh generation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94142D. SPIE, (2015)Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models., , , , , and . IEEE Trans. Medical Imaging, 34 (8): 1627-1639 (2015)Intervertebral disc classification by its degree of degeneration from T2-weighted magnetic resonance images, , , , and . Eur Spine J, 25 (9): 2721--2727 (2016)Automatic construction of patient-specific finite-element mesh of the spine from IVDs and vertebra segmentations., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97881U. SPIE, (2016)Statistical shape and appearance models in osteoporosis, , , , , and . Curr Osteoporos Rep, 12 (2): 163--173 (2014)Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation., , , , , and . IEEE Trans. Medical Imaging, 34 (8): 1663-1675 (2015)Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach., , , , and . IVCNZ, page 1-6. IEEE, (2021)3D reconstruction of intervertebral discs from T1-weighted magnetic resonance images., , , , , and . ISBI, page 1695-1698. IEEE, (2012)