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Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97853K. SPIE, (2016)

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Interprofessional Collaborative System to Raise Awareness and Understanding of Dementia using an Action Observation Method., , , , , and . AAAI Spring Symposia, AAAI Press, (2016)A model based method for recognizing psoas major muscles in torso CT images., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76241X. SPIE, (2010)Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97853K. SPIE, (2016)Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images., , , , , , , , , and 1 other author(s). MSKI@MICCAI, volume 11404 of Lecture Notes in Computer Science, page 1-10. Springer, (2018)Model-Based Approach to Recognize the Rectus Abdominis Muscle in CT Images., , , , , and . IEICE Transactions, 96-D (4): 869-871 (2013)Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (11): 1697-1706 (2018)Force sensorless force control using notch-type friction free disturbance observer., , , and . AMC, page 643-648. IEEE, (2018)Force Sensorless Force Control Using Notch-Type Dual Disturbance Observer., , , and . ICM, page 504-509. IEEE, (2019)Dual notch-type high-order frinction-free force observers for force sensorless fine force control., , , , and . IECON, page 6715-6720. IEEE, (2017)Automated segmentation of recuts abdominis muscle using shape model in X-ray CT images., , , , , , , , and . EMBC, page 7993-7996. IEEE, (2011)