S. Allassonnì-ere, E. Kuhn, and A. Trouvé, Construction of Bayesian deformable models via a stochastic approximation algorithm: A convergence study, Bernoulli, vol.16, issue.3, pp.641-678, 2010.
DOI : 10.3150/09-BEJ229

A. Andrade, F. Kherif, J. F. Mangin, K. J. Worsley, A. L. Paradis et al., Detection of fMRI activation using Cortical Surface Mapping, Human Brain Mapping, vol.4, issue.2, pp.79-93, 2001.
DOI : 10.1002/1097-0193(200102)12:2<79::AID-HBM1005>3.0.CO;2-I
URL : https://hal.archives-ouvertes.fr/hal-00349824

J. Ashburner and K. J. Friston, Unified segmentation, NeuroImage, vol.26, issue.3, pp.839-851, 2005.
DOI : 10.1016/j.neuroimage.2005.02.018

K. J. Friston, A. P. Holmes, C. J. Price, C. Büchel, and K. J. Worsley, Multisubject fMRI Studies and Conjunction Analyses, NeuroImage, vol.10, issue.4, pp.385-396, 1999.
DOI : 10.1006/nimg.1999.0484
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.9302

K. J. Friston, A. P. Holmes, K. J. Worsley, J. B. Poline, C. D. Firith et al., Statistical parametric maps in functional imaging: A general linear approach, Human Brain Mapping, vol.26, issue.4, pp.189-210, 1995.
DOI : 10.1002/hbm.460020402

S. Gouttard, M. Styner, S. Joshi, R. G. Smith, H. Cody et al., Subcortical structure segmentation using probabilistic atlas priors, Medical Imaging 2007: Image Processing, 2007.
DOI : 10.1117/12.708626

K. V. Leemput, F. Maes, D. Vandermeulen, A. Colchester, and P. Suetens, Automated segmentation of multiple sclerosis lesions by model outlier detection, IEEE Transactions on Medical Imaging, vol.20, issue.8, pp.677-688, 2001.
DOI : 10.1109/42.938237

W. Ou, I. Wells, W. M. Golland, and P. , Combining spatial priors and anatomical information for fMRI detection, Medical Image Analysis, vol.14, issue.3, pp.318-331, 2010.
DOI : 10.1016/j.media.2010.02.007
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786450

P. Pinel, B. Thirion, S. Meriaux, A. Jobert, J. Serres et al., Fast reproducible identification and large-scale databasing of individual functional cognitive networks, BMC Neuroscience, vol.8, issue.1, 2007.
DOI : 10.1186/1471-2202-8-91
URL : https://hal.archives-ouvertes.fr/hal-00784462

A. Ribbens, J. Hermans, F. Maes, D. Vandermeulen, and P. Suetens, SPARC: Unified framework for automatic segmentation, probabilistic atlas construction, registration and clustering of brain MR images, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.856-859, 2010.
DOI : 10.1109/ISBI.2010.5490121

M. R. Sabuncu, B. D. Singer, B. Conroy, R. E. Bryan, P. J. Ramadge et al., Function-based Intersubject Alignment of Human Cortical Anatomy, Cerebral Cortex, vol.20, issue.1, pp.130-140, 2010.
DOI : 10.1093/cercor/bhp085

B. Thirion, P. Pinel, S. Mériaux, A. Roche, S. Dehaene et al., Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses, NeuroImage, vol.35, issue.1, pp.105-120, 2007.
DOI : 10.1016/j.neuroimage.2006.11.054
URL : https://hal.archives-ouvertes.fr/cea-00371089

H. Xu, B. Thirion, and S. Allassonnì-ere, Probabilistic atlas and geometric variability estimation to drive tissue segmentation, Statistics in Medicine, vol.27, issue.1
DOI : 10.1002/sim.6156
URL : https://hal.archives-ouvertes.fr/hal-01094739

B. Yeo, M. R. Sabuncu, T. Vercauteren, N. Ayache, B. Fischl et al., Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration, IEEE Transactions on Medical Imaging, vol.29, issue.3, pp.650-668, 2010.
DOI : 10.1109/TMI.2009.2030797
URL : https://hal.archives-ouvertes.fr/inria-00616102