Docteur de l'université Automatic Segmentation and Shape Analysis ...

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176 BIBLIOGRAPHY L. J. (2007). Hippocampal shape analysis in Alzheimer’s disease: A population- based study. NeuroImage, 36(1):8–18. 2.3.2 Schölkopf, B., Smola, A., and Müller, K. (1998). Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299–1319. 2.2.4 Schölkopf, B. and Smola, A. J. (2002). Learning with kernels: support vector machines, regularization, optimization, and beyond. MIT Press. 5.3 Schott, J., Crutch, S., Frost, C., Warrington, E., Rossor, M., and Fox, N. (2008). Neuropsychological correlates of whole brain atrophy in Alzheimer’s disease. Neuropsychologia, 46(6):1732–1737. 1.1.3.2 Schott, J. M., Fox, N. C., Frost, C., Scahill, R. I., Janssen, J. C., Chan, D., Jenkins, R., and Rossor, M. N. (2003). Assessing the onset of structural change in familial alzheimer’s disease. Annals of Neurology, 53(2):181–188. 2.1.1 Sdika, M. (2010). Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote. Medical Image Analysis, 14(2):219–226. 2.1.2.3, 3.3 Sethian, J. A. (1996). A fast marching level set method for monotonically advanc- ing fronts. Proceedings of the National Academy of Sciences, 93(4):1591 –1595. 2.1.2.1 Sharp, G. C., Lee, S. W., and Wehe, D. K. (2002). ICP registration using invariant features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(1):90–102. 2.2.2 Shelton, C. R. (2000). Morphable surface models. International Journal of Com- puter Vision, 38:75–91. 2.2.3 Shen, D., Moffat, S., Resnick, S. M., and Davatzikos, C. (2002). Measuring size and shape of the hippocampus in MR images using a deformable shape model. NeuroImage, 15(2):422–434. 2.1.2.2
BIBLIOGRAPHY 177 Shen, K., Bourgeat, P., Fripp, J., Meriaudeau, F., Ames, D., Ellis, K. A., Mas- ters, C. L., Villemagne, V. L., Rowe, C. C., and Salvado, O. (2010). Supervised method to build an atlas database for multi-atlas segmentation-propagation. In Karssemeijer, N. and Summers, R. M., editors, SPIE Medical Imaging 2010: Computer-Aided Diagnosis, volume 7624, pages 76241N–8, San Diego, Califor- nia, USA. 2.1.2.3 Shi, F., Liu, B., Zhou, Y., Yu, C., and Jiang, T. (2009). Hippocampal volume and asymmetry in mild cognitive impairment and Alzheimer’s disease: Meta- analyses of MRI studies. Hippocampus, 19(11):1055–1064. 1.1.3.2, 2.3.1 Simon, D. A., Hebert, M., and Kanade, T. (1995). Techniques for fast and accurate intrasurgical registration. Journal of Image Guided Surgery, 1(1):17–29. 2.2.2 Slichter, C. P. (1990). Principles of Magnetic Resonance. Springer. 1.1.3.1 Sluimer, J. D., Bouwman, F. H., Vrenken, H., Blankenstein, M. A., Barkhof, F., van der Flier, W. M., and Scheltens, P. (2010). Whole-brain atrophy rate and CSF biomarker levels in MCI and AD: a longitudinal study. Neurobiology of Aging, 31(5):758–764. 1.1.3.2 Sluimer, J. D., van der Flier, W. M., Karas, G. B., Fox, N. C., Scheltens, P., Barkhof, F., and Vrenken, H. (2008). Whole-Brain atrophy rate and cognitive decline: Longitudinal MR study of memory clinic patients1. Radiology, 248(2):590 –598. 1.1.3.2 Small, C. G. (1996). The statistical theory of shape. Springer, New York. 2.2 Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R. K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J. M., and Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(Supplement 1):S208–S219. 2.1.2.2
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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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LISTE DES FIGURES xvii 5.6 The accu
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