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
Three dimensional fast low angle shot imaging and computerized volume measurement of the hippocampus in patients with chronic epilepsy of the temporal lobe, Am. J. Neuroradiol, vol.12, pp.941-947, 1991. ,
An evaluation of four automatic methods of segmenting the subcortical structures in the brain, NeuroImage, vol.47, issue.4, pp.1435-1447, 2009. ,
DOI : 10.1016/j.neuroimage.2009.05.029
Functional Specialization in the Human Medial Temporal Lobe, Journal of Neuroscience, vol.25, issue.44, pp.10239-10246, 2005. ,
DOI : 10.1523/JNEUROSCI.2704-05.2005
Involvement of Medial Temporal Lobe Structures in Memory and Perception, Neuron, vol.61, issue.5, pp.667-677, 2009. ,
DOI : 10.1016/j.neuron.2009.02.007
Manual validation of freesurfer's automated hippocampal segmentation in normal aging, mild cognitive impairment, and alzheimer disease subjects, pp.219-225, 2010. ,
Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical data, NeuroImage, vol.55, issue.3, pp.1009-1019, 2011. ,
DOI : 10.1016/j.neuroimage.2010.12.071
MRI volumetric measurement of amygdala and hippocampus in temporal lobe epilepsy, Neurology, vol.43, issue.4, pp.719-725, 1993. ,
DOI : 10.1212/WNL.43.4.719
Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer???s disease, NeuroImage, vol.34, issue.3, pp.996-1019, 2007. ,
DOI : 10.1016/j.neuroimage.2006.10.035
Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI, Colliot, O., and the Alzheimer's Disease Neuroimaging Initiative, pp.579-587, 2009. ,
DOI : 10.1002/hipo.20626
Experimental Designs, Soil Science, vol.70, issue.2, 1957. ,
DOI : 10.1097/00010694-195008000-00014
Animal, International Journal of Pattern Recognition and Artificial Intelligence, vol.11, issue.8, pp.1271-1294, 1997. ,
DOI : 10.1016/B978-012692535-7/50084-7
Automatic 3-D model-based neuroanatomical segmentation, Human Brain Mapping, vol.16, issue.2, pp.190-208, 1995. ,
DOI : 10.1002/hbm.460030304
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
HIPPOCAMPAL VOLUMETRIC AND MORPHOMETRIC STUDIES IN FRONTAL AND TEMPORAL LOBE EPILEPSY, Brain, vol.115, issue.4, pp.1001-1015, 1992. ,
DOI : 10.1093/brain/115.4.1001
Active appearance model, Proc. European Conf. Computer Vision, pp.484-498, 1998. ,
Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, issue.1, pp.6138-59, 1995. ,
DOI : 10.1006/cviu.1995.1004
URL : https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:1d1862&datastreamId=POST-PEER-REVIEW-PUBLISHERS.PDF
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation, NeuroImage, vol.54, issue.2, 2011. ,
DOI : 10.1016/j.neuroimage.2010.09.018
Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease, NeuroImage, vol.59, issue.4, pp.3736-3747, 2012. ,
DOI : 10.1016/j.neuroimage.2011.10.080
Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945. ,
DOI : 10.2307/1932409
Appearance-Based Segmentation of Medial Temporal Lobe Structures, NeuroImage, vol.17, issue.2, pp.515-531, 2002. ,
DOI : 10.1006/nimg.2002.1188
Hippocampal atrophy in temporal lobe epilepsy is correlated with limbic systems atrophy, Journal of Neurology, vol.58, issue.3, pp.294-300, 2005. ,
DOI : 10.1007/s00415-005-0981-y
Whole Brain Segmentation, Neuron, vol.33, issue.3, pp.341-355, 2002. ,
DOI : 10.1016/S0896-6273(02)00569-X
URL : http://doi.org/10.1016/s0896-6273(02)00569-x
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
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2962759
Visualisation and quantification of rates of atrophy in Alzheimer's disease, The Lancet, vol.348, issue.9020, pp.94-97, 1996. ,
DOI : 10.1016/S0140-6736(96)05228-2
Segmentation of the hippocampus from brain MRI using deformable contours, Computerized Medical Imaging and Graphics, vol.22, issue.3, pp.203-216, 1998. ,
DOI : 10.1016/S0895-6111(98)00026-3
MR determination of hippocampal volume: comparison of three methods, Am. J. Neuroradiol, vol.17, issue.6, pp.1091-1098, 1996. ,
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
Joint level-set shape modeling and appearance modeling for brain structure segmentation, NeuroImage, vol.36, issue.3, pp.672-683, 2007. ,
DOI : 10.1016/j.neuroimage.2006.12.048
Appearance-based modeling for segmentation of hippocampus and amygdala using multi-contrast MR imaging, NeuroImage, vol.58, issue.2, pp.58549-559, 2011. ,
DOI : 10.1016/j.neuroimage.2011.06.054
URL : https://hal.archives-ouvertes.fr/inserm-00610417
MRI-based hippocampal volumetry in the diagnosis of Alzheimer's disease, Neurology, vol.42, issue.1, pp.183-188, 1992. ,
Medial temporal atrophy on mri in normal aging and very mild Alzheimer's disease, Neurology, issue.3, pp.49786-794, 1997. ,
Optimal weights for local multi-atlas fusion using supervised learning and dynamic information (SuperDyn): Validation on hippocampus segmentation, NeuroImage, vol.56, issue.1, pp.126-139, 2011. ,
DOI : 10.1016/j.neuroimage.2011.01.078
Non-rigid registration based active appearance models for 3D medical image segmentation, Journal of Imaging Science and Technology, vol.48, issue.2, pp.166-171, 2004. ,
Cognitive-Emotional Interactions in the Brain, Cognition & Emotion, vol.14, issue.4, pp.267-289, 1989. ,
DOI : 10.1037/0003-066X.35.2.151
Fast and robust multi-atlas segmentation of brain magnetic resonance images, NeuroImage, vol.49, issue.3, pp.2352-2365, 2010. ,
DOI : 10.1016/j.neuroimage.2009.10.026
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM), Philosophical Transactions of the Royal Society B: Biological Sciences, vol.356, issue.1412, pp.1293-1322, 2001. ,
DOI : 10.1098/rstb.2001.0915
A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes, NeuroImage, vol.45, issue.3, pp.855-866, 2009. ,
DOI : 10.1016/j.neuroimage.2008.12.033
Medial temporal structures relate to memory impairment in Alzheimer's disease: an MRI volumetric study, Journal of Neurology, Neurosurgery & Psychiatry, vol.63, issue.2, pp.214-221, 1997. ,
DOI : 10.1136/jnnp.63.2.214
Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls, NeuroImage, vol.43, issue.1, pp.59-68, 2008. ,
DOI : 10.1016/j.neuroimage.2008.07.003
A Bayesian model of shape and appearance for subcortical brain segmentation, NeuroImage, vol.56, issue.3, pp.56907-922, 2011. ,
DOI : 10.1016/j.neuroimage.2011.02.046
Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures, NeuroImage, vol.39, issue.1, pp.238-247, 2008. ,
DOI : 10.1016/j.neuroimage.2007.05.063
Volumetry of Hippocampus and Amygdala with High-resolution MRI and Three-dimensional Analysis Software: Minimizing the Discrepancies between Laboratories, Cerebral Cortex, vol.10, issue.4, pp.433-442, 2000. ,
DOI : 10.1093/cercor/10.4.433
Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood, J. of Neuroscience, vol.21, issue.1, pp.194-200, 2001. ,
Volumetry of Temporopolar, Perirhinal, Entorhinal and Parahippocampal Cortex from High-resolution MR Images: Considering the Variability of the Collateral Sulcus, Cerebral Cortex, vol.12, issue.12, pp.1342-1353, 2002. ,
DOI : 10.1093/cercor/12.12.1342
Shape-Based Averaging for Combination of Multiple Segmentations, Proc. of 8 th MICCAI, pp.838-845, 2005. ,
DOI : 10.1007/11566489_103
A Supervised Patch-Based Approach for Human Brain Labeling, IEEE Transactions on Medical Imaging, vol.30, issue.10, pp.1852-1862, 2011. ,
DOI : 10.1109/TMI.2011.2156806
URL : https://hal.archives-ouvertes.fr/hal-00631458
A Generative Model for Image Segmentation Based on Label Fusion, IEEE Transactions on Medical Imaging, vol.29, issue.10, pp.291714-1729, 2010. ,
DOI : 10.1109/TMI.2010.2050897
Construction of a 3D probabilistic atlas of human cortical structures, NeuroImage, vol.39, issue.3, 2008. ,
DOI : 10.1016/j.neuroimage.2007.09.031
Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model, NeuroImage, vol.15, issue.2, pp.422-434, 2002. ,
DOI : 10.1006/nimg.2001.0987
Intraclass correlations: Uses in assessing rater reliability., Psychological Bulletin, vol.86, issue.2, pp.420-428, 1979. ,
DOI : 10.1037/0033-2909.86.2.420
Volumetric MRI analysis of the amygdala and the hippocampus in subjects with age-associated memory impairment: Correlation to visual and verbal memory, Neurology, vol.44, issue.9, pp.1660-1668, 1994. ,
DOI : 10.1212/WNL.44.9.1660
Brain Magnetic Resonance Imaging of Structural Abnormalities in Bipolar Disorder, Archives of General Psychiatry, vol.56, issue.3, pp.254-260, 1999. ,
DOI : 10.1001/archpsyc.56.3.254
Multi-feature landmark-free active appearance models: application to prostate MRI segmentation, IEEE Trans. Med. Imaging, 2012. ,
Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts, NeuroImage, vol.43, issue.4, pp.708-720, 2008. ,
DOI : 10.1016/j.neuroimage.2008.07.058
A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation, Disease Neuroimaging Initiative, pp.968-985, 2011. ,
DOI : 10.1016/j.neuroimage.2011.01.006
Regression-based label fusion for multi-atlas segmentation, CVPR 2011, pp.1113-1120, 2011. ,
DOI : 10.1109/CVPR.2011.5995382
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3343877
Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004. ,
DOI : 10.1109/TIP.2003.819861
Anatomic basis of amygdaloid and hippocampal volume measurement by magnetic resonance imaging, Neurology, vol.42, issue.9, pp.1743-1750, 1992. ,
DOI : 10.1212/WNL.42.9.1743
Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD, Neurology, vol.54, issue.9, pp.541760-1767, 2000. ,
DOI : 10.1212/WNL.54.9.1760