Semiautomated Shape Analysis of Dendrite Spines from Animal Models of Fragilex and Parkinson's Disease using Large Deformation Diffeomorphic Metric Mapping, Society for Neuroscience Annual Meeting, 2005. ,
Towards a coherent statistical framework for dense deformable template estimation, J. R. Stat. Soc. Ser. B Stat. Methodol, vol.69, pp.3-29, 2007. ,
Convergent stochastic expectation maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation, Comput. Statist. Data Anal, pp.91-95, 2015. ,
Stochastic algorithm for Bayesian mixture effect template estimation, ESAIM: Probability and Statistics, vol.14, pp.382-408, 2010. ,
DOI : 10.1051/ps/2009001
Bayesian consistent estimation in deformable models using stochastic algorithms: Applications to medical images, J. Soc. Fran. Statist, vol.151, pp.1-16, 2010. ,
Construction of Bayesian deformable models via a stochastic approximation algorithm: A convergence study, Bernoulli, pp.16-641, 2010. ,
Geodesic shooting and diffeomorphic matching via textured meshes, in Energy Minimization Methods for Computer Vision and Pattern Recognition, pp.365-381, 2005. ,
Stability of Stochastic Approximation under Verifiable Conditions, SIAM Journal on Control and Optimization, vol.44, issue.1, pp.283-312, 2005. ,
DOI : 10.1137/S0363012902417267
URL : https://hal.archives-ouvertes.fr/hal-00023475
Theory of reproducing kernels, Transactions of the American Mathematical Society, vol.68, issue.3, pp.337-404, 1950. ,
DOI : 10.1090/S0002-9947-1950-0051437-7
Consistency of the group lasso and multiple kernel learning, J. Mach. Learn. Res, vol.9, pp.1179-1225, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00164735
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms, International Journal of Computer Vision, vol.61, issue.2, pp.61-139, 2005. ,
DOI : 10.1023/B:VISI.0000043755.93987.aa
Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping, Journal of Mathematical Imaging and Vision, vol.23, issue.2, pp.270-290, 2009. ,
DOI : 10.1007/s10851-009-0146-1
Type-Specific Analysis of Morphometry of Dendrite Spines of Mice, 2007 5th International Symposium on Image and Signal Processing and Analysis, pp.7-12, 2007. ,
DOI : 10.1109/ISPA.2007.4383655
Modeling metric distances of dendrite spines of mice based on morphometric measures, International Symposium on Health Informatics and Bioinformatics, 2007. ,
Deformable templates using large deformation kinematics, IEEE Transactions on Image Processing, vol.5, issue.10, pp.1435-1447, 1996. ,
DOI : 10.1109/83.536892
Convergence of a stochastic approximation version of the EM algorithm, Ann. Statist, vol.27, pp.94-128, 1999. ,
Variational problems on flows of diffeomorphisms for image matching, Quarterly of Applied Mathematics, vol.56, issue.3, pp.587-600, 1998. ,
DOI : 10.1090/qam/1632326
Statistical Models of Currents for Measuring the Variability of Anatomical Curves, Surfaces and their Evolution, 2010. ,
URL : https://hal.archives-ouvertes.fr/tel-00631382
Sparse Adaptive Parameterization of Variability in Image Ensembles, International Journal of Computer Vision, vol.67, issue.2, pp.161-183, 2013. ,
DOI : 10.1007/s11263-012-0556-1
URL : https://hal.archives-ouvertes.fr/hal-00817565
Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis, Information Processing in Medical Imaging, pp.123-134, 2011. ,
DOI : 10.1007/978-3-642-22092-0_11
URL : https://hal.archives-ouvertes.fr/hal-00818405
Landmark Matching via Large Deformation Diffeomorphisms on the Sphere, Journal of Mathematical Imaging and Vision, vol.20, issue.1/2, pp.179-200, 2004. ,
DOI : 10.1023/B:JMIV.0000011326.88682.e5
General Pattern Theory, 1993. ,
Computational anatomy: an emerging discipline, Quarterly of Applied Mathematics, vol.56, issue.4, pp.617-694, 1998. ,
DOI : 10.1090/qam/1668732
Soliton dynamics in computational anatomy, NeuroImage, vol.23, pp.170-178, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.017
Landmark matching via large deformation diffeomorphisms, IEEE Transactions on Image Processing, vol.9, issue.8, pp.1357-1370, 2000. ,
DOI : 10.1109/83.855431
Coupling a stochastic approximation version of EM with an MCMC procedure, ESAIM: Probability and Statistics, vol.8, pp.115-131, 2004. ,
DOI : 10.1051/ps:2004007
Bayesian template estimation in computational anatomy, NeuroImage, vol.42, issue.1, pp.42-252, 2008. ,
DOI : 10.1016/j.neuroimage.2008.03.056
Constructing Diffeomorphic Representations for the Groupwise Analysis of Nonrigid Registrations of Medical Images, IEEE Transactions on Medical Imaging, vol.23, issue.8, pp.1006-1020, 2004. ,
DOI : 10.1109/TMI.2004.831228
Sectional Curvature in Terms of the Cometric, with Applications to the Riemannian Manifolds of Landmarks, SIAM Journal on Imaging Sciences, vol.5, issue.1, pp.394-433, 2012. ,
DOI : 10.1137/10081678X
Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping, Human Brain Mapping, vol.25, issue.7, pp.30-2132, 2009. ,
DOI : 10.1002/hbm.20655
On the Metrics and Euler-Lagrange Equations of Computational Anatomy, Annual Review of Biomedical Engineering, vol.4, issue.1, pp.375-405, 2002. ,
DOI : 10.1146/annurev.bioeng.4.092101.125733
Geodesic Shooting for Computational Anatomy, Journal of Mathematical Imaging and Vision, vol.13, issue.1???2, pp.209-228, 2006. ,
DOI : 10.1007/s10851-005-3624-0
Group action, diffeomorphism and matching: A general framework, Int. J. Comput. Vision, pp.41-61, 2001. ,
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements, Journal of Mathematical Imaging and Vision, vol.20, issue.10, pp.127-154, 2006. ,
DOI : 10.1007/s10851-006-6228-4
URL : https://hal.archives-ouvertes.fr/inria-00614994
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping, IEEE Transactions on Medical Imaging, vol.30, issue.10, pp.30-1746, 2011. ,
DOI : 10.1109/TMI.2011.2146787
Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework, Journal of Mathematical Imaging and Vision, vol.45, issue.1, Suppl.??1, pp.46-292, 2013. ,
DOI : 10.1007/s10851-012-0409-0
URL : https://hal.archives-ouvertes.fr/hal-00813868
Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-260, 1998. ,
DOI : 10.1016/S1361-8415(98)80022-4
Diffeomorphism groups and pattern matching in image analysis, International Journal of Computer Vision, vol.28, issue.3, pp.213-221, 1998. ,
DOI : 10.1023/A:1008001603737
Statistics on diffeomorphisms via tangent space representations, NeuroImage, vol.23, pp.161-169, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.023
Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2014, pp.227-234, 2014. ,
DOI : 10.1007/978-3-319-10404-1_29
Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration, Lecture Notes in Comput. Sci, vol.7917, pp.37-48, 2013. ,
DOI : 10.1007/978-3-642-38868-2_4