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Publications about 'Segmentation'

Articles in journal or book chapters

  1. L. Bergouignan, M. Chupin, Y. Czechowska, S. Kinkingnéhun, C. Lemognea, 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 Differencies in Acute Depression?. NeuroImage, 2008. Keyword(s): IFR49, brainvisa, UPR 640, U610. [bibtex-entry]


  2. O. Colliot, G. Chételat, M. Chupin, B. Desgranges, B. Magnin, H. Benali, B. Dubois, L. Garnero, F. Eustache, and S. Lehéricy. Discrimination between Alzheimer Disease, Mild Cognitive Impairment, and Normal Aging by Using Automated Segmentation of the Hippocampus. Radiology, 2008. Keyword(s): IFR49, brainvisa, CENIR, UPR 640, U610, U678. [bibtex-entry]


  3. R. Maroy, R. Boisgard, C. Comtat, V. Frouin, P. Cathier, E. Duchesnay, F. Dollé, P. E.Nielsen, R. Trébossen, and B. Tavitian. Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics. IEEE Trans Med Imaging, 27(3):342-54, 2008. Keyword(s): brainvisa, IFR49. [bibtex-entry]


  4. M. Chupin, A.R. Mukuna Bantumbakulu, D. Hasboun, E. Bardinet, S. Baillet, S. Kinkingnéhun, L. Lemieux, B. Dubois, and L. Garnero. Automated Segmentation of the Hippocampus and the Amygdala Driven by Competition and Anatomical Priors: Method and Validation on Healthy Subjects and Patients with Alzheimer's Disease. NeuroImage, 34:996-1019, 2007. Keyword(s): IFR49, brainvisa, UPR 640, CENIR, U610. [bibtex-entry]


  5. A. Cachia, J.-F. Mangin, D. Rivière, D. Papadopoulos-Orfanos, F. Kherif, I. Bloch, and J. Régis. A generic framework for parcellation of the cortical surface into gyri using geodesic Voronoi diagrams. Medical Image Analysis, 7(4):403-416, 2003. Keyword(s): Sulci, Segmentation, brainvisa, IFR49. [bibtex-entry]


Conference articles

  1. M. Chupin, G. Chételat, L. Lemieux, B. Dubois, L. Garnero, H. Benali, F. Eustache, S. Lehéricy, B. Desgranges, and O. Colliot. Fully Automatic Hippocampus Segmentation Discriminates between Early Alzheimer's Disease and Normal Aging. In Proc. IEEE ISBI, pages 97-100, 2008. Keyword(s): IFR49, brainvisa, UPR 640, CENIR, U610, U678, UPMC. [bibtex-entry]


  2. M. Chupin, R. Cuingnet, L. Lemieux, S. Lehéricy, H. Benali, L. Garnero, and O. Colliot. Fully Automatic Hippocampus Segmentation Discriminates between Alzheimer's Disease and Normal Aging - Data from the ADNI database. In MICCAI, Computational Anatomy and Physiology of the Hippocampus Workshop, 2008. Keyword(s): IFR49, brainvisa, UPR 640, CENIR, U678. [bibtex-entry]


  3. R. Maroy, M. Santiago-Ribeiro, P. Delonlay, F. Brunelle, C. Nihoul-Fékété, B. Tavitian, and R. Trébossen. Automated segmentation for the distinction between forms of hyperinsulinism. In Proc. of European Association of Nuclear Medicine congress, Munich, Germany, 2008. Keyword(s): IFR49, brainvisa, nuclear imaging, CEA SHFJ. [bibtex-entry]


  4. R. Maroy, T. Viel, R. Boisgard, C. Comtat, R. Trébossen, and B. Tavitian. Fast and Accurate PET Preclinical Data Analysis: Segmentation and Partial Volume Effect Correction with no Anatomical priors. In Proc. NSS/MIC, Dresden, Germany, pages 5498-5501, Oct. 2008. Keyword(s): IFR49, brainvisa, nuclear imaging, CEA SHFJ. [bibtex-entry]


  5. M. Chupin, A. Hammers, E. Bardinet, O. Colliot, R.S.N. Liu, J.S. Duncan, L. Garnero, and L. Lemieux. Fully Automatic Segmentation of the Hippocampus and the Amygdala from MRI Using Hybrid Prior Knowledge. In MICCAI, 2007. Keyword(s): IFR49, brainvisa, UPR 640, CENIR. [bibtex-entry]


  6. M. Chupin, D. Hasboun, A.R. Mukuna Bantumbakulu, E. Bardinet, S. Baillet, S. Kinkingnéhun, L. Lemieux, B. Dubois, and L. Garnero. Competitive Segmentation of the Hippocampus and the Amygdala from MRI Data: Validation on Young Healthy Controls and Alzheimer's Disease Patients. In SPIE Medical Imaging, volume 6144, 2006. Keyword(s): IFR49, brainvisa, UPR 640, CENIR, U610. [bibtex-entry]


Miscellaneous

  1. H Laguel. Déploiement sur une plate-forme de visualisation d'un algorithme coopératif pour la segmentation d'images IRM autour d'un système multi-agents.. Master's thesis, Université des sciences et de la technologie Houari Boumédiène -USTHB, 2010. Keyword(s): brainvisa, MRI segmentation. [bibtex-entry]



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Last modified: Fri Feb 17 18:20:22 2012

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