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PyDBS: an automated image processing workflow for deep brain stimulation surgery.

, , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (2): 117-128 (2015)

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PyDBS: an automated image processing workflow for deep brain stimulation surgery., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (2): 117-128 (2015)Preoperative trajectory planning for percutaneous procedures in deformable environments., , , and . Comp. Med. Imag. and Graph., (2016)Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach., , , , and . Int. J. Comput. Assist. Radiol. Surg., 7 (4): 517-532 (2012)Automatic preoperative planning of DBS electrode placement using anatomo-clinical atlases and volume of tissue activated., , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (7): 1117-1128 (2018)Anticipation of brain shift in Deep Brain Stimulation automatic planning., , , , and . EMBC, page 3635-3638. IEEE, (2015)Automatic planning of needle placement for robot-assisted percutaneous procedures., , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (9): 1429-1438 (2018)Pareto Front vs. Weighted Sum for Automatic Trajectory Planning of Deep Brain Stimulation., , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 534-541. (2016)Automatic Computation of Electrodes Trajectory for Deep Brain Stimulation., , and . MIAR, volume 6326 of Lecture Notes in Computer Science, page 149-158. Springer, (2010)Introducing Pareto-based MOEA to Neurosurgery Preoperative Path Planning., , and . GECCO (Companion), page 125-126. ACM, (2016)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)