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Concomitant variability of the central sulcus morphology and adjacent connectivity patterns.

, , , , , , and . ISBI, page 445-448. IEEE, (2015)

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From the diffusion coefficient to the diffusion tensor., and . NMR Biomed, 15 (7-8): 431--434 (2002)Comparison of diffusion-weighted fMRI and BOLD fMRI responses in a verbal working memory task., , , and . NeuroImage, (2013)MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects., , , , , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 196-204. Springer, (2005)fMRI contrast at high and ultrahigh magnetic fields: Insight from complementary methods., , , , , and . NeuroImage, (2015)Inferring the Brain Connectivitiy from MR Diffusion Tensor Data., , , , , and . MICCAI, volume 1679 of Lecture Notes in Computer Science, page 453-462. Springer, (1999)Regularization of MR Diffusion Tensor Maps for Tracking Brain White Matter Bundles., , , , , , , and . MICCAI, volume 1496 of Lecture Notes in Computer Science, page 489-498. Springer, (1998)An intrinsic diffusion response function for analyzing diffusion functional MRI time series., , , , , and . NeuroImage, 47 (4): 1487-1495 (2009)Validation of consistent inter-subject connectivity-based parcellation., , , , , , , , and . ISBI, page 923-926. IEEE, (2014)Diffusion Tensor Imaging: Concepts and Applications, , , , , , and . Journal of Magnetic Resonance Imaging, (2001)Concomitant variability of the central sulcus morphology and adjacent connectivity patterns., , , , , , and . ISBI, page 445-448. IEEE, (2015)