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

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168 BIBLIOGRAPHY Lein, E. S., Callaway, E. M., Albright, T. D., and Gage, F. H. (2005). Redefining the boundaries of the hippocampal CA2 subfield in the mouse using gene expres- sion and 3‐dimensional reconstruction. The Journal of Comparative Neurology, 485(1):1–10. 1.1.2 Leung, K. K., Barnes, J., Ridgway, G. R., Bartlett, J. W., Clarkson, M. J., Mac- donald, K., Schuff, N., Fox, N. C., and Ourselin, S. (2010). Automated cross- sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer’s disease. NeuroImage, 51(4):1345–1359. 2.1.2.3 Levitt, M. H. (2008). Spin Dynamics: Basics of Nuclear Magnetic Resonance. Wiley, 2 edition. 1.1.3.1 Li, S., Shi, F., Pu, F., Li, X., Jiang, T., Xie, S., and Wang, Y. (2007). Hippocampal shape analysis of Alzheimer disease based on machine learning methods. AJNR Am J Neuroradiol, 28(7):1339–1345. 2.3.2 Lorensen, W. E. and Cline, H. E. (1987). Marching cubes: A high resolution 3D surface construction algorithm. SIGGRAPH Computer Graphics, 21(4):163–169. 2.2.1, 4.1 Lorente de Nó, R. (1934). Studies on the structure of the cerebral cortex. II. Continuation of the study of the ammonic system. Journal für Psychologie und Neurologie, 46:113–177. 1.1.2 Lötjönen, J. M., Wolz, R., Koikkalainen, J. R., Thurfjell, L., Waldemar, G., Soini- nen, H., and Rueckert, D. (2010). Fast and robust multi-atlas segmentation of brain magnetic resonance images. NeuroImage, 49(3):2352–2365. 2.1.2.3 Loughrey, J. and Cunningham, P. (2005). Overfitting in wrapper-based feature subset selection: The harder you try the worse it gets. In Research and Devel- opment in Intelligent Systems XXI, pages 33–43. 5.3 Lynch, M. A. (2004). Long-term potentiation and memory. Physiological Reviews, 84(1):87 –136. 1.1.2
BIBLIOGRAPHY 169 Mahony, R. and Manton, J. H. (2002). The geometry of the newton method on non-compact lie groups. Journal of Global Optimization, 23:309–327. 3.1.1.2 Makris, N., Kennedy, D. N., Meyer, J., Worth, A., Jr., V. S. C., Seidman, L., Goldstein, J., Goodman, J., Hoge, E., Macpherson, C., Tourville, J., Klaveness, S., Hodge, S. M., Melrose, R., Rauch, S., Kim, H., Harris, G., Boehland, A., Glode, B., Koch, J., Segal, E., Sonricker, A., Dieterich, M., Papadimitriou, G., Normandin, J. J., Cullen, N., Boriel, D., and Sanders, H. (2004). General Brain Segmentation: Method and Utilization. Center for Morphometric Analysis, Massachusetts General Hospital. 2.1.1, 2.3, 3.2.1 Malis, E. (2004). Improving vision-based control using efficient second-order min- imization techniques. In 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA ’04, volume 2, pages 1843– 1848 Vol.2. IEEE. 3.1.1.2 Malykhin, N. V., Bouchard, T. P., Camicioli, R., and Coupland, N. J. (2008). Aging hippocampus and amygdala. NeuroReport, 19(5):543–547. 5.6.2 Martini, F. H., Timmons, M. J., and Tallitsch, R. B. (2002). Human Anatomy. Benjamin Cummings, 4th edition. 1.3 Martucci, S. A. (1994). Symmetric convolution and the discrete sine and cosine transforms. IEEE Transactions on Signal Processing, 42(5):1038–1051. 4.1.3.3 Maruyama, K., Nori, F., and Vedral, V. (2009). Colloquium: The physics of Maxwell’s demon and information. Reviews of Modern Physics, 81(1):1. 1 Matheny, A. and Goldgof, D. B. (1995). The use of three- and four-dimensional surface harmonics for rigid and nonrigid shape recovery and representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(10):967–981. 2.2.1 Maurer, K., Volk, S., and Gerbaldo, H. (1997). Auguste D and Alzheimer’s disease. The Lancet, 349(9064):1546–1549. 1.1.1
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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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LISTE DES FIGURES xvii 5.6 The accu
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2 Chapter 1 Introduction The resear
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