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

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162 BIBLIOGRAPHY Gutman, B., Wang, Y., et al. (2009). Disease classification with hippocampal shape invariants. Hippocampus, 19(6):572–578. 2.3.2 Haacke, E. M., Brown, R. W., Thompson, M. R., and Venkatesan, R. (1999). Magnetic Resonance Imaging: Physical Principles and Sequence Design. Wiley- Liss, 1st edition. 1.1.3.1 Hachinski, V. C., Lassen, N. A., and Marshall, J. (1974). Multi-infarct dementia: A cause of mental deterioration in the elderly. The Lancet, 304(7874):207–209. 1.1.1 Haker, S., Angenent, S., Tannenbaum, A., Kikinis, R., Sapiro, G., and Halle, M. (2000). Conformal surface parameterization for texture mapping. IEEE Transactions on Visualization and Computer Graphics, 6(2):181–189. 2.2.3 Haller, J. W., Banerjee, A., Christensen, G. E., Gado, M., Joshi, S., Miller, M. I., Sheline, Y., Vannier, M. W., and Csernansky, J. G. (1997). Three-dimensional hippocampal MR morphometry with high-dimensional transformation of a neu- roanatomic atlas. Radiology, 202(2):504 –510. 2.1.2.3 Haller, J. W., Christensen, G. E., Joshi, S. C., Newcomer, J. W., Miller, M. I., Csernansky, J. G., and Vannier, M. W. (1996). Hippocampal MR imaging morphometry by means of general pattern matching. Radiology, 199(3):787 –791. 2.1.2.3 Harding, A. J., Halliday, G. M., and Kril, J. J. (1998). Variation in hippocampal neuron number with age and brain volume. Cerebral Cortex, 8(8):710 –718. 5.13 Hartmann, S. L., Parks, M. H., Martin, P. R., and Dawant, B. M. (1999). Au- tomatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. II. valida- tion on severely atrophied brains. IEEE Transactions on Medical Imaging, 18(10):917–926. 2.1.2.3
BIBLIOGRAPHY 163 Heckemann, R. A., Hajnal, J. V., Aljabar, P., Rueckert, D., and Hammers, A. (2006). Automatic anatomical brain MRI segmentation combining label propa- gation and decision fusion. NeuroImage, 33(1):115–126. 2.1.2.3 Heimann, T. and Meinzer, H. (2009). Statistical shape models for 3D medical image segmentation: A review. Medical Image Analysis, 13(4):543–563. 2.2.1, 2.2.3, 2.2.4, 5.5.3 Henson, R. (2005). A mini-review of fMRI studies of human medial temporal lobe activity associated with recognition memory. The Quarterly Journal of Experimental Psychology. B, Comparative and Physiological Psychology, 58(3- 4):340–360. 5.6.4 Heun, R., Mazanek, M., Atzor, K. R., Tintera, J., Gawehn, J., Burkart, M., Gän- sicke, M., Falkai, P., and Stoeter, P. (1997). Amygdala-hippocampal atrophy and memory performance in dementia of Alzheimer type. Dementia and Geri- atric Cognitive Disorders, 8(6):329–336. 5.4 Hladůvka, J. and Bühler, K. (2005). MDL spline models: Gradient and polynomial reparameterisations. In Clocksin, W. F., Fitzgibbon, A. W., and Torr, P. H. S., editors, BMVC ’05. British Machine Vision Association. 2.2.3, 4.1.3.2 Hogan, R. E., Mark, K. E., Wang, L., Joshi, S., Miller, M. I., and Bucholz, R. D. (2000). Mesial temporal sclerosis and temporal lobe epilepsy: MR imaging deformation-based segmentation of the hippocampus in five patients1. Radiol- ogy, 216(1):291 –297. 2.1.2.3 Horn, B. K. and Schunck, B. G. (1981). Determining optical flow. Artificial Intelligence, 17(1-3):185–203. 3.1.1.2 Hsu, Y.-Y., Schuff, N., Du, A.-T., Mark, K., Zhu, X., Hardin, D., and Weiner, M. W. (2002). Comparison of automated and manual MRI volumetry of hippocampus in normal aging and dementia. Journal of Magnetic Resonance Imag- ing, 16(3):305–310. 2.1.1, 2.3.1, 3.4.2.1
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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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Page 164 and 165: 146 BIBLIOGRAPHY Alzheimer, A. (191
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