Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy, NeuroImage, vol.46, issue.3, pp.726-738, 2009. ,
DOI : 10.1016/j.neuroimage.2009.02.018
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion, NeuroImage, vol.33, issue.1, pp.115-126, 2006. ,
DOI : 10.1016/j.neuroimage.2006.05.061
Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion, NeuroImage, vol.52, issue.4, pp.1355-1366, 2010. ,
DOI : 10.1016/j.neuroimage.2010.04.193
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation, NeuroImage, vol.54, issue.2, pp.940-954, 2011. ,
DOI : 10.1016/j.neuroimage.2010.09.018
URL : https://hal.archives-ouvertes.fr/inserm-00541534
Unbiased average age-appropriate atlases for pediatric studies, NeuroImage, vol.54, issue.1, pp.313-327, 2011. ,
DOI : 10.1016/j.neuroimage.2010.07.033
A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Transactions on Medical Imaging, vol.17, issue.1, pp.87-97, 1998. ,
DOI : 10.1109/42.668698
Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space, Journal of Computer Assisted Tomography, vol.18, issue.2, pp.192-205, 1994. ,
DOI : 10.1097/00004728-199403000-00005
Automatic 3-D model-based neuroanatomical segmentation, Human Brain Mapping, vol.16, issue.2, pp.190-208, 1995. ,
DOI : 10.1002/hbm.460030304
Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis, IEEE Transactions on Medical Imaging, vol.25, issue.11, pp.25-1451, 2006. ,
DOI : 10.1109/TMI.2006.880587