1. L. Bergouignan, M. Chupin, Y. Czechowska, S. Kinkingnehun, C. Lemogne, G. Le Bastard, M. Lepage, L. Garnero, O. Colliot, and P. Fossati. Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?. Neuroimage, 45(1):29-37, 2009. Note: Evaluation StudiesJournal ArticleResearch Support, N.I.H., ExtramuralUnited States. [WWW] Keyword(s): Algorithms, *Artificial Intelligence, Depressive Disorder, Major/*pathology, Female, Hippocampus/*pathology, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/*methods, Imaging, Three-Dimensional/*methods, Magnetic Resonance Imaging/*methods, Male, Middle Aged, Pattern Recognition, Automated/*methods, Reproducibility of Results, Sensitivity and Specificity, Young Adult.



2. M. Chupin, E. Gerardin, R. Cuingnet, C. Boutet, L. Lemieux, S. Lehericy, H. Benali, L. Garnero, and O. Colliot. Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus, 2009. Note: Alzheimer's Disease Neuroimaging InitiativeJournal article. [WWW]



3. M. Chupin, A. Hammers, R. S. Liu, O. Colliot, J. Burdett, E. Bardinet, J. S. Duncan, L. Garnero, and L. Lemieux. Automatic Segmentation of the Hippocampus and the Amygdala Driven by Hybrid Constraints: Method and Validation. Neuroimage, 2009. Note: Journal article. [WWW]



4. E. Gerardin, G. Chetelat, M. Chupin, R. Cuingnet, B. Desgranges, H. S. Kim, M. Niethammer, B. Dubois, S. Lehericy, L. Garnero, F. Eustache, and O. Colliot. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. Neuroimage, 2009. Note: The Alzheimer's Disease Neuroimaging InitiativeJournal article. [WWW]



5. R. Rodionov, M. Chupin, E. Williams, A. Hammers, C. Kesavadas, and L. Lemieux. Evaluation of atlas-based segmentation of hippocampi in healthy humans. Magn Reson Imaging, 27(8):1104-9, 2009. Note: Medical Research Council/United KingdomJournal ArticleResearch Support, Non-U.S. Gov'tNetherlands. [WWW]



6. R. Toro, M. Chupin, L. Garnero, G. Leonard, M. Perron, B. Pike, A. Pitiot, L. Richer, S. Veillette, Z. Pausova, and T. Paus. Brain volumes and Val66Met polymorphism of the BDNF gene: local or global effects?. Brain Struct Funct, 2009. Note: Journal article. [WWW]



7. L. Bergouignan, M. Chupin, Y. Czechowska, S. Kinkingnehun, C. Lemogne, G. Le Bastard, M. Lepage, L. Garnero, O. Colliot, and P. Fossati. Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?. Neuroimage, 2008. Note: Journal article. [WWW]



8. O. Colliot, G. Chetelat, M. Chupin, B. Desgranges, B. Magnin, H. Benali, B. Dubois, L. Garnero, F. Eustache, and S. Lehericy. Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus. Radiology, 248(1):194-201, 2008. Note: Evaluation StudiesJournal ArticleUnited States. [WWW] Keyword(s): Aged, Aging/*pathology, Algorithms, Alzheimer Disease/*diagnosis, Artificial Intelligence, Cognition Disorders/*diagnosis, Diagnosis, Differential, Female, Hippocampus/*pathology, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/*methods, Magnetic Resonance Imaging/*methods, Male, Middle Aged, Pattern Recognition, Automated/*methods, Reproducibility of Results, Sensitivity and Specificity.



9. Y. Attal, M. Bhattacharjee, J. Yelnik, B. Cottereau, J. Lefevre, Y. Okada, E. Bardinet, M. Chupin, and S. Baillet. Modeling and Detecting Deep Brain Activity with MEG & EEG. Conf Proc IEEE Eng Med Biol Soc, 1:4937-40, 2007. Note: Journal ArticleUnited States... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. [WWW]



10. M. Chupin, A. Hammers, E. Bardinet, O. Colliot, R. S. Liu, J. S. Duncan, L. Garnero, and L. Lemieux. Fully automatic segmentation of the hippocampus and the amygdala from MRI using hybrid prior knowledge. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, 10(Pt 1):875-82, 2007. Note: Journal ArticleResearch Support, Non-U.S. Gov'tGermanyMICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. [WWW] Keyword(s): Algorithms, Amygdala/*pathology, Animals, *Artificial Intelligence, Epilepsy/*diagnosis, Hippocampus/*pathology, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/*methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging/*methods, Models, Biological, Pattern Recognition, Automated/*methods, Reproducibility of Results, Sensitivity and Specificity.



11. M. Chupin, A. R. Mukuna-Bantumbakulu, D. Hasboun, E. Bardinet, S. Baillet, S. Kinkingnehun, L. Lemieux, B. Dubois, and L. Garnero. 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, 34(3):996-1019, 2007. Note: Evaluation StudiesJournal ArticleResearch Support, Non-U.S. Gov'tValidation StudiesUnited States. [WWW] Keyword(s): Adult, Aged, Aged, 80 and over, Algorithms, Alzheimer Disease/*pathology, Amygdala/*pathology, Artificial Intelligence, Female, Hippocampus/*pathology, Humans, Image Enhancement/*methods, Image Interpretation, Computer-Assisted/*methods, Imaging, Three-Dimensional/methods, Information Storage and Retrieval/methods, Magnetic Resonance Imaging/*methods, Male, Pattern Recognition, Automated/*methods, Reference Values, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique.



12. N. Hevia-Montiel, C. Rosso, M. Chupin, S. Deltour, E. Bardinet, D. ;. Dormont, Y. Samson, and Baillet S.. Automatic prediction of infarct growth in acute ischemic stroke from MR apparent diffusion coefficient maps.. Academic Radiology, 2007.



13. M. Chupin, D. Hasboun, E. Bardinet, S. Baillet, L. Lemieux, and L. Garnero. Competitive Segmentation of the Hippocampus and the Amigdala from MRI Scans. Traitement du Signal, 23(5):503-516, 2006.



14. N. Hevia-Montiel, C. Rosso, M. Chupin, S. Deltour, E. Bardinet, D. Dormont, Y. Samson, and S. Baillet. Automatic prediction of infarct growth in acute ischemic stroke from MR apparent diffusion maps. International J computer Assisted Radiology and Surgery, 1(s7):115-117, 2006.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

This document was translated from BibT_EX by bibtex2html