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Self-guided training for deep brain stimulation planning using objective assessment.

, , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (7): 1129-1139 (2018)

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Matching 3D MR angiography data and 2D X-ray angiograms., , , , , and . CVRMed, volume 1205 of Lecture Notes in Computer Science, page 129-138. Springer, (1997)Euclidean skeletons., and . Image Vision Comput., 16 (5): 317-327 (1998)Object Representation and Comparison Inferred from Its Medial Axis., , , , and . ICPR, page 1712-1715. IEEE Computer Society, (2000)Intra-Operative Registration for Stereotactic Procedures Driven by a Combined Biomechanical Brain and CSF Model., , , , , and . ISBMS, volume 8789 of Lecture Notes in Computer Science, page 76-85. Springer, (2014)Statistical study of parameters for deep brain stimulation automatic preoperative planning of electrodes trajectories., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (12): 1973-1983 (2015)Self-guided training for deep brain stimulation planning using objective assessment., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (7): 1129-1139 (2018)Improving Registration of 3-D Medical Images Using a Mechanical Based Method., , and . ECCV (2), volume 801 of Lecture Notes in Computer Science, page 131-136. Springer, (1994)Rigid registration of 3-D objects by motion analysis., , and . ICPR (1), page 579-581. IEEE, (1994)PyDBS: an automated image processing workflow for deep brain stimulation surgery., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (2): 117-128 (2015)