J. L. Andersson, S. Skare, and J. Ashburner, How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging, NeuroImage, vol.20, issue.2, pp.870-88, 2003.
DOI : 10.1016/S1053-8119(03)00336-7

C. Destrieux, B. Fischl, A. Dale, and E. Halgren, Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature, NeuroImage, vol.53, issue.1, pp.1-15, 2010.
DOI : 10.1016/j.neuroimage.2010.06.010

J. C. Dunn, A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics, vol.3, issue.3, pp.32-57, 1973.
DOI : 10.1080/01969727308546046

B. Fischl, Automatically Parcellating the Human Cerebral Cortex, Cerebral Cortex, vol.14, issue.1, pp.11-22, 2004.
DOI : 10.1093/cercor/bhg087

E. Garyfallidis, M. Brett, B. Amirbekian, A. Rokem, S. Van-der-walt et al., Dipy, a library for the analysis of diffusion MRI data, Frontiers in Neuroinformatics, vol.29, issue.22, 2014.
DOI : 10.1109/TMI.2010.2045126

G. Girard, K. Whittingstall, R. Deriche, and M. Descoteaux, Towards quantitative connectivity analysis: reducing tractography biases, NeuroImage, vol.98, pp.266-278, 2014.
DOI : 10.1016/j.neuroimage.2014.04.074
URL : https://hal.archives-ouvertes.fr/hal-00991846

P. Hagmann, M. Kurant, X. Gigandet, P. Thiran, V. J. Wedeen et al., Mapping human whole­brain structural networks with diffusion MRI, PloS one, vol.2, issue.7, 2007.

M. Jenkinson and S. Smith, A global optimisation method for robust affine registration of brain images, Medical Image Analysis, vol.5, issue.2, pp.143-156, 2001.
DOI : 10.1016/S1361-8415(01)00036-6

J. ­. Tournier, F. Calamante, and A. Connelly, MRtrix: Diffusion tractography in crossing fiber regions, International Journal of Imaging Systems and Technology, vol.56, issue.1, pp.53-66, 2012.
DOI : 10.1002/ima.22005

Y. Zhang, M. Brady, and S. Smith, Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm, IEEE Transactions on Medical Imaging, vol.20, issue.1, pp.45-57, 2001.
DOI : 10.1109/42.906424