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Evaluation of Brain Image Nonrigid Registration Algorithms Based on Log-euclidean Mr-dti Consistency Measures.

, , , , , and . ISBI, page 45-48. IEEE, (2007)

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An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation., , , , , and . MICCAI (2), volume 5242 of Lecture Notes in Computer Science, page 980-988. Springer, (2008)Validation of Experts versus Atlas-based and Automatic Registration Methods for Subthalamic Nucleus Targeting on MRI., , , , and . Int. J. Comput. Assist. Radiol. Surg., 1 (1): 5-12 (2006)Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework., , , , , , , and . Medical Image Analysis, 15 (6): 787-800 (2011)Cross Validation of Experts Versus Registration Methods for Target Localization in Deep Brain Stimulation., , , , , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 417-424. Springer, (2005)Evaluation of Brain Image Nonrigid Registration Algorithms Based on Log-euclidean Mr-dti Consistency Measures., , , , , and . ISBI, page 45-48. IEEE, (2007)A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms., , , , , , , and . IEEE Trans. Med. Imaging, 25 (11): 1440-1450 (2006)