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Semi-automatic muscle segmentation in MR images using deep registration-based label propagation.

, , , , , , , , and . Pattern Recognit., (August 2023)

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Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders., , , , and . CoRR, (2019)Normative Three-Dimensional Patellofemoral and Tibiofemoral Kinematics: A Dynamic, in Vivo Study., and . IEEE Trans. Biomed. Eng., 54 (7): 1333-1341 (2007)Semi-automatic muscle segmentation in MR images using deep registration-based label propagation., , , , , , , , and . Pattern Recognit., (August 2023)Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability., , , , and . ISBI, page 36-39. IEEE, (2019)Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders., , , , and . Comput. Medical Imaging Graph., (2020)A Visualization Tool to convey Quantitative in vivo, 3D Knee Joint Kinematics., and . AIPR, page 18. IEEE Computer Society, (2006)Patellar segmentation from 3D magnetic resonance images using guided recursive ray-tracing for edge pattern detection., , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97880C. SPIE, (2016)