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

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150 BIBLIOGRAPHY of post mortem magnetic resonance imaging-determined hippocampal volume in Alzheimer’s disease. Neuroscience, 95(3):721–725. 1.1.3.2 Bookstein, F. (1991). Morphometric tools for landmark data : geometry and biology. Cambridge University Press, Cambridge, New York. 2.2 Bookstein, F. L. (1978a). Linear machinery for morphological distortion. Com- puters and Biomedical Research, 11(5):435–458. 2.2 Bookstein, F. L. (1978b). The measurement of biological shape and shape change. Springer-Verlag, Berlin, New York. 2.2 Bookstein, F. L. (1986). Size and shape spaces for landmark data in two dimen- sions. Statistical Science, 1(2):181–222. 2.2 Bookstein, F. L. (1996). Biometrics, biomathematics and the morphometric syn- thesis. Bulletin of Mathematical Biology, 58(2):313–365. 4 Bouix, S., Pruessner, J. C., Collins, D. L., and Siddiqi, K. (2005). Hippocampal shape analysis using medial surfaces. NeuroImage, 25(4):1077–1089. 2.3.2 Braak, H. and Braak, E. (1991). Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica, 82(4):239–259. 1.1.2 Brechbühler, C., Gerig, G., and Kübler, O. (1995). Parametrization of closed surfaces for 3-D shape description. Computer Vision and Image Understanding, 61(2):154–170. 2.2.1, 2.2.3, 4.1.1, 5, 6, 4.2 Breiman, L. (1996a). Bagging predictors. Machine Learning, 24(2):123–140. 5.3 Breiman, L. (1996b). Out-of-bag estimation. Technical report, Statistics Depart- ment, University of California. 5.3 Brett, A. D. and Taylor, C. J. (2000). A method of automated landmark gen- eration for automated 3D PDM construction. Image and Vision Computing, 18(9):739–748. 2.2.3
BIBLIOGRAPHY 151 Bro-Nielsen, M. and Gramkow, C. (1996). Fast fluid registration of medical images. In Höhne, K. H. and Kikinis, R., editors, Visualization in Biomedical Computing, volume 1131, pages 265–276, Berlin/Heidelberg. Springer-Verlag. 4.1.3.3 Busatto, G. F., Diniz, B. S., and Zanetti, M. V. (2008). Voxel-based morphometry in alzheimer’s disease. Expert Review of Neurotherapeutics, 8(11):1691–1702. 2.3.1 Cahill, N. D., Noble, J. A., Hawkes, D. J., and Ray, L. A. (2007). Fast fluid registration with Drichlet boundary conditions: A transform-based approach. In 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007, pages 712–715. IEEE. 4.1.3.3, 8, 5 Carbonell, J. and Goldstein, J. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, pages 335–336, Melbourne, Australia. ACM. 3.3.1 Cardoso, J. (1999). High-order contrasts for independent component analysis. Neural Computation, 11(1):157–192. 2.2.4 Carmichael, O. T., Aizenstein, H. A., Davis, S. W., Becker, J. T., Thompson, P. M., Meltzer, C. C., and Liu, Y. (2005). Atlas-based hippocampus segmentation in Alzheimer’s disease and mild cognitive impairment. NeuroImage, 27(4):979–990. 2.1.2.3 Chen, M. (1999). 3-D Deformable Registration Using a Statistical Atlas with Appli- cations in Medicine. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA. 2.1.2.3 Chen, Y. and Medioni, G. (1992). Object modelling by registration of multiple range images. Image and Vision Computing, 10(3):145–155. 2.2.2 Chételat, G., Fouquet, M., Kalpouzos, G., Denghien, I., la Sayette, V. D., Vi- ader, F., Mézenge, F., Landeau, B., Baron, J., Eustache, F., and Desgranges,
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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 183 and 184: BIBLIOGRAPHY 165 R. C. (2003). MRI
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Page 197 and 198: BIBLIOGRAPHY 179 Barillot, C., Hayn
Page 199 and 200: BIBLIOGRAPHY 181 Tzourio-Mazoyer, N
Page 201 and 202: BIBLIOGRAPHY 183 Vos, F. M., de Bru
Page 203 and 204: BIBLIOGRAPHY 185 Woolrich, M. W., J
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