United Kingdom, London School of Hygiene and Tropical Medicine ,
Evaluation of automated brain MR image segmentation and volumetry methods, Human Brain Mapping, vol.22, issue.Part 2, pp.1310-1337, 2009. ,
DOI : 10.1148/radiology.154.1.3964938
URL : https://hal.archives-ouvertes.fr/hal-01622426
A comparison of FreeSurfer-generated data with and without manual intervention, Frontiers in Neuroscience, vol.66, issue.182, 2015. ,
DOI : 10.1001/archgenpsychiatry.2009.160
Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction, NeuroImage: Clinical, vol.1, issue.1, 2012. ,
DOI : 10.1016/j.nicl.2012.08.002
Reduced Gray to White Matter Tissue Intensity Contrast in Schizophrenia, PLoS ONE, vol.19, issue.5, 2012. ,
DOI : 10.1371/journal.pone.0037016.t001
URL : https://doi.org/10.1371/journal.pone.0037016
Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis, NeuroImage, vol.52, issue.4, pp.1261-1268, 2010. ,
DOI : 10.1016/j.neuroimage.2010.05.029
Assessing agerelated gray matter decline with voxel-based morphometry depends significantly on segmentation and normalization procedures, Front Aging Neurosci, 2014. ,
DOI : 10.3389/fnagi.2014.00124
URL : http://journal.frontiersin.org/article/10.3389/fnagi.2014.00124/pdf
Biological and clinical manifestations of Huntington's disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data, The Lancet Neurology, vol.8, issue.9, pp.791-801, 2009. ,
DOI : 10.1016/S1474-4422(09)70170-X
Potential endpoints for clinical trials in premanifest and early Huntington's disease in the TRACK-HD study: analysis of 24 month observational data, The Lancet Neurology, vol.11, issue.1, pp.42-53, 2012. ,
DOI : 10.1016/S1474-4422(11)70263-0
Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington's disease in the TRACK-HD study: analysis of 36-month observational data, The Lancet Neurology, vol.12, issue.7, pp.637-686, 2013. ,
DOI : 10.1016/S1474-4422(13)70088-7
Multi-Modal Neuroimaging in Premanifest and Early Huntington???s Disease: 18 Month Longitudinal Data from the IMAGE-HD Study, PLoS ONE, vol.237, issue.9, 2013. ,
DOI : 10.1371/journal.pone.0074131.s007
Multimodal imaging biomarkers in premanifest and early Huntington's disease: 30-month IMAGE-HD data, Br J Psychiatry, vol.208, pp.571-579, 2016. ,
The progression of regional atrophy in premanifest and early Huntington's disease: a longitudinal voxel-based morphometry study, Journal of Neurology, Neurosurgery & Psychiatry, vol.81, issue.7, pp.756-63, 2009. ,
DOI : 10.1136/jnnp.2009.190702
Biological and clinical changes in premanifest and early stage Huntington's disease in the TRACK-HD study: the 12-month longitudinal analysis, The Lancet Neurology, vol.10, issue.1, pp.31-42, 2011. ,
DOI : 10.1016/S1474-4422(10)70276-3
Frontal lobe volume in patients with Huntington's disease, Neurology, vol.50, issue.1, 1998. ,
DOI : 10.1212/WNL.50.1.252
Prefrontal cortex volume reduction on MRI in preclinical Huntington's disease relates to visuomotor performance and CAG number, Parkinsonism & Related Disorders, vol.15, issue.3, pp.213-222, 2009. ,
DOI : 10.1016/j.parkreldis.2008.05.010
Contrasting gray and white matter changes in preclinical Huntington disease: An MRI study, Neurology, vol.74, issue.15, pp.1208-1224, 2010. ,
DOI : 10.1212/WNL.0b013e3181d8c20a
CAG repeat number governs the development rate of pathology in Huntington's disease, Annals of Neurology, vol.13, issue.5 ,
DOI : 10.1001/archneur.1993.00540080010005
Unified Huntington's Disease Rating Scale: reliability and consistency, Mov Disord, vol.11, pp.136-178, 1996. ,
The PREDICT-HD Investigators of the Huntington Study Group the P-HI of the HS. CAG-repeat length and the age of onset in Huntington disease (HD): a review and validation study of statistical approaches, Am J Med Genet B Neuropsychiatr Genet, vol.153, pp.397-408, 2010. ,
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
Intensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils, NeuroImage, vol.39, issue.4, pp.1752-62, 2008. ,
DOI : 10.1016/j.neuroimage.2007.10.026
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2562663/pdf
Voxel-Based Morphometry???The Methods, NeuroImage, vol.11, issue.6, pp.805-826, 2000. ,
DOI : 10.1006/nimg.2000.0582
URL : http://www.stat.wisc.edu/~mchung/teaching/MIA/reading/VBM.ashburner.2000.pdf
Unified segmentation, NeuroImage, vol.26, issue.3, pp.839-51, 2005. ,
DOI : 10.1016/j.neuroimage.2005.02.018
An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data, Neuroinformatics, vol.20, issue.Suppl 1, pp.381-400, 2011. ,
DOI : 10.1109/42.906424
Registration based cortical thickness measurement, NeuroImage, vol.45, issue.3, pp.867-79, 2009. ,
DOI : 10.1016/j.neuroimage.2008.12.016
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836782/pdf
Brain extraction using label propagation and group agreement: pincram, PLoS One, 2015. ,
DOI : 10.1371/journal.pone.0129211
URL : https://doi.org/10.1371/journal.pone.0129211
Robust whole-brain segmentation: Application to traumatic brain injury, Medical Image Analysis, vol.21, issue.1, pp.40-58, 2015. ,
DOI : 10.1016/j.media.2014.12.003
URL : https://doi.org/10.1016/j.media.2014.12.003
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
Whole Brain Segmentation, Neuron, vol.33, issue.3, pp.341-55, 2002. ,
DOI : 10.1016/S0896-6273(02)00569-X
Fast robust automated brain extraction, Human Brain Mapping, vol.20, issue.3, pp.143-55, 2002. ,
DOI : 10.1002/hbm.10062
URL : http://onlinelibrary.wiley.com/doi/10.1002/hbm.10062/pdf
Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review, World Journal of Radiology, vol.6, issue.11, pp.855-64, 2014. ,
DOI : 10.4329/wjr.v6.i11.855
Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements, NeuroImage, vol.99, pp.166-79, 2014. ,
DOI : 10.1016/j.neuroimage.2014.05.044
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, NeuroImage, vol.31, issue.3, pp.968-80, 2006. ,
DOI : 10.1016/j.neuroimage.2006.01.021
The organization of the human cerebellum estimated by intrinsic functional connectivity, Journal of Neurophysiology, vol.106, issue.5, pp.2322-2367, 2011. ,
DOI : 10.1152/jn.00339.2011
The Intraclass Correlation Coefficient as a Measure of Reliability, Psychological Reports, vol.28, issue.1, 1966. ,
DOI : 10.1037/11774-000
Brain morphometry reproducibility in multi-center 3T MRI studies: A comparison of cross-sectional and longitudinal segmentations, NeuroImage, vol.83, pp.472-84, 2013. ,
DOI : 10.1016/j.neuroimage.2013.05.007
URL : https://hal.archives-ouvertes.fr/hal-01097027
The impact of occipital lobe cortical thickness on cognitive task performance: An investigation in Huntington's Disease, Neuropsychologia, vol.79, pp.138-184, 2015. ,
DOI : 10.1016/j.neuropsychologia.2015.10.033
Huntington's Disease (HD): Neurodegeneration of Brodmann's Primary Visual Area 17 (BA17), Brain Pathology, vol.352, issue.6, pp.701-712, 2015. ,
DOI : 10.1016/B978-0-12-547625-6.50027-1
Visual system integrity and cognition in early Huntington's disease, European Journal of Neuroscience, vol.6, issue.Pt 7, pp.2417-2443, 2014. ,
DOI : 10.1002/(SICI)1097-0193(1998)6:5/6<364::AID-HBM6>3.0.CO;2-T
A reproducible evaluation of ANTs similarity metric performance in brain image registration, NeuroImage, vol.54, issue.3, pp.2033-2077, 2011. ,
DOI : 10.1016/j.neuroimage.2010.09.025