Clustering of Spatial Data by the EM Algorithm, Quantitative Geology and Geostatistics, vol.9, pp.493-504, 1997. ,
DOI : 10.1007/978-94-017-1675-8_40
Evaluation of image features and search strategies for segmentation of bone structures in radiographs using Active Shape Models, Medical Image Analysis, vol.6, issue.1, pp.47-62, 2002. ,
DOI : 10.1016/S1361-8415(01)00051-2
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles, MICCAI 2009 -Proceedings of the 12th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.1051-1058, 2009. ,
DOI : 10.1007/978-3-642-04271-3_127
URL : https://hal.archives-ouvertes.fr/inria-00616132
Data Driven Refinement of Active Shape Model Search, Procedings of the British Machine Vision Conference 1996, 1996. ,
DOI : 10.5244/C.10.10
Statistical models of appearance for computer vision, 2004. ,
The use of active shape models for locating structures in medical images, IPMI'93 -Proceedings of the 13th International Conference on Information Processing in Medical Imaging, pp.33-47, 1993. ,
Active appearance models, IEEE Pattern Analysis and Machine Intelligence, vol.23, issue.6, p.681685, 2001. ,
General object reconstruction based on simplex meshes, International Journal of Computer Vision, vol.32, issue.2, pp.111-146, 1999. ,
DOI : 10.1023/A:1008157432188
URL : https://hal.archives-ouvertes.fr/inria-00073579
Musculoskeletal MRI segmentation using multi-resolution simplex meshes with medial representations, Medical Image Analysis, vol.14, issue.3, pp.291-302, 2010. ,
DOI : 10.1016/j.media.2010.01.006
Procrustes methods in the statistical analysis of shape, Journal of the Royal Statistical Society Series BMethodological), vol.53, issue.2, pp.285-339, 1991. ,
Generalized procrustes analysis, Psychometrika, vol.35, issue.1, pp.33-51, 1975. ,
DOI : 10.1007/BF02291478
Statistical shape models for 3D medical image segmentation: A review, Medical Image Analysis, vol.13, issue.4, pp.543-563, 2009. ,
DOI : 10.1016/j.media.2009.05.004
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation, IPMI 2007 -Proceedings of the 20th International Conference on Information Processing in Medical Imaging, pp.1-12, 2007. ,
DOI : 10.1007/978-3-540-73273-0_1
Voxel Similarity Measures for 3D Serial MR Brain Image Registration, IPMI'99 -Proceedings of the 16th International Conference on Information Processing in Medical Imaging, pp.472-477, 1999. ,
DOI : 10.1007/3-540-48714-X_48
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.3387
Principal Component Analysis, 2002. ,
DOI : 10.1007/978-1-4757-1904-8
On cluster validity index for estimation of the optimal number of fuzzy clusters, Pattern Recognition, vol.37, issue.10, pp.2009-2025, 2004. ,
DOI : 10.1016/j.patcog.2004.04.007
A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics, Statistical Applications in Genetics and Molecular Biology, vol.4, issue.1, 2005. ,
DOI : 10.2202/1544-6115.1175
MRI Bone Segmentation Using Deformable Models and Shape Priors, MICCAI 2008 -Proceedings of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.119-126, 2008. ,
DOI : 10.1007/978-3-540-85988-8_15
Musculoskeletal simulation model generation from MRI datasets and motion capture data, pp.3-19, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00616096
Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures, Press available online, 2010. ,
DOI : 10.1007/s11548-010-0474-z
Automatic segmentation of the pelvic bones from ct data based on a statistical shape model, Eurographics Workshop on Visual Computing for Biomedicine, Eurographics Association, pp.93-100, 2008. ,
Parametric estimate of intensity inhomogeneities applied to MRI, IEEE Transactions on Medical Imaging, vol.19, issue.3, pp.153-165, 2000. ,
DOI : 10.1109/42.845174
Covariance estimation with limited training samples, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.4, pp.2113-2118, 1999. ,
DOI : 10.1109/36.774728