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164 BIBLIOGRAPHY Hufnagel, H., Pennec, X., Ehrhardt, J., Ayache, N., and Handels, H. (2009). Com- putation of a probabilistic statistical shape model in a maximum-a-posteriori framework. Methods of Information in Medicine, 48(4):314–319. 2.2.3, 4.2 Huxley, J. (1932). Problems of Relative Growth. Methuen, London. 2.2 Hyvärinen, A., Karhunen, J., and Oja, E. (2001). Independent Component Anal- ysis. Wiley-Interscience, 1 edition. 2.2.4 Iosifescu, D. V., Shenton, M. E., Warfield, S. K., Kikinis, R., Dengler, J., Jolesz, F. A., and McCarley, R. W. (1997). An automated registration algorithm for measuring MRI subcortical brain structures,. NeuroImage, 6(1):13–25. 2.1.2.3 Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kok- men, E., and Kurland, L. T. (1992). Mayo’s older americans normative studies: Updated AVLT - norms for ages 56 to 97. Clinical Neuropsychologist, 6(1, Sup- plement 1):83–104. 5.4 Jack, C., Shiung, M., Gunter, J., O’Brien, P., Weigand, S., Knopman, D., Boeve, B., Ivnik, R., Smith, G., Cha, R., Tangalos, E., and Petersen, R. (2004). Com- parison of different MRI brain atrophy rate measures with clinical disease progression in AD. Neurology, 62(4):591–600. 1.1.3.2, 2.3.1 Jack, C. R., Dickson, D. W., Parisi, J. E., Xu, Y. C., Cha, R. H., O’Brien, P. C., Edland, S. D., Smith, G. E., Boeve, B. F., Tangalos, E. G., Kokmen, E., and Petersen, R. C. (2002). Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia. Neurology, 58(5):750 –757. 1.1.3.2 Jack, C. R., Petersen, R. C., Xu, Y., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Tangalos, E. G., and Kokmen, E. (1998). The rate of medial temporal lobe atrophy in typical aging and Alzheimer’s disease. Neurology, 51(4):993–999. 5.6.2 Jack, C. R., Slomkowski, M., Gracon, S., Hoover, T. M., Felmlee, J. P., Stewart, K., Xu, Y., Shiung, M., O’Brien, P. C., Cha, R., Knopman, D., and Petersen,
BIBLIOGRAPHY 165 R. C. (2003). MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD. Neurology, 60(2):253 –260. 1.1.3.2 Järvenpää, T., Laakso, M. P., Rossi, R., Koskenvuo, M., Kaprio, J., Räihä, I., Kurki, T., Laine, M., Frisoni, G. B., and Rinne, J. O. (2004). Hippocampal MRI volumetry in cognitively discordant monozygotic twin pairs. Journal of Neurology, Neurosurgery & Psychiatry, 75(1):116–120. 2.3.1 Jenkinson, M., Bannister, P., Brady, M., and Smith, S. (2002). Improved opti- mization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17(2):825–841. 2.1.2.3 Jian, B. and Vemuri, B. C. (2010). Robust point set registration using gaussian mixture models. IEEE Transactions on Pattern Analysis and Machine Intelli- gence. 4.2 Johnston, D. and Amaral, D. G. (1997). Hippocampus. In Shepherd, G. M., editor, The synaptic organization of the brain, pages 417–458. Oxford University Press, New York. 1.1.2 Jolicoeur, P. and Mosimann, J. E. (1960). Size and shape variation in the painted turtle. a principal component analysis. Growth, 24:339–354. 2.2 Josephs, K. A., Whitwell, J. L., Ahmed, Z., Shiung, M. M., Weigand, S. D., Knopman, D. S., Boeve, B. F., Parisi, J. E., Petersen, R. C., Dickson, D. W., and Jack Jr, C. R. (2008). β‐amyloid burden is not associated with rates of brain atrophy. Annals of Neurology, 63(2):204–212. 1.1.3.2 Jost, T. and Hugli, H. (2003). A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images. In Fourth Inter- national Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings, pages 427– 433. IEEE. 2.2.2 Kelemen, A., Szekely, G., and Gerig, G. (1999). Elastic model-based segmentation of 3-D neuroradiological data sets. IEEE Transactions on Medical Imaging, 18(10):828–839. 2.1.2.2, 2.2.3
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UNIVERSITE DE BOURGOGNE U.F.R. SCIE
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Résumé L’objectif de cette thè
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Abstract The aim of this thesis is
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TABLE DES MATIÈRES Acknowledgement
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TABLE DES MATIÈRES xi 4.1.4.3 Spec
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LISTE DES FIGURES 1.1 Cortical atro
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