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Cited article:

Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories

Vianney Debavelaere, Stanley Durrleman and Stéphanie Allassonnière
International Journal of Computer Vision 128 (12) 2794 (2020)
https://doi.org/10.1007/s11263-020-01337-8

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

Vianney Debavelaere, Alexandre Bône, Stanley Durrleman and Stéphanie Allassonnière
Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 11767 66 (2019)
https://doi.org/10.1007/978-3-030-32251-9_8

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Akshay Pai, Stefan Sommer, Lars Lau Raket, et al.
Lecture Notes in Computer Science, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging 10081 151 (2017)
https://doi.org/10.1007/978-3-319-61188-4_14

Algorithmic Advances in Riemannian Geometry and Applications

Miaomiao Zhang and P. Thomas Fletcher
Advances in Computer Vision and Pattern Recognition, Algorithmic Advances in Riemannian Geometry and Applications 1 (2016)
https://doi.org/10.1007/978-3-319-45026-1_1

Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation

Stéphanie Allassonnière and Estelle Kuhn
Computational Statistics & Data Analysis 91 4 (2015)
https://doi.org/10.1016/j.csda.2015.04.011

Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model

S. Allassonnière, S. Durrleman and E. Kuhn
SIAM Journal on Imaging Sciences 8 (3) 1367 (2015)
https://doi.org/10.1137/140971762

Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability

Miaomiao Zhang and P. Thomas Fletcher
Medical Image Analysis 25 (1) 37 (2015)
https://doi.org/10.1016/j.media.2015.04.009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

Miaomiao Zhang and P. Thomas Fletcher
Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 8675 121 (2014)
https://doi.org/10.1007/978-3-319-10443-0_16

Shape Analysis in Medical Image Analysis

Bernard Ng, Matthew Toews, Stanley Durrleman and Yonggang Shi
Lecture Notes in Computational Vision and Biomechanics, Shape Analysis in Medical Image Analysis 14 3 (2014)
https://doi.org/10.1007/978-3-319-03813-1_1

Aircraft classification with a low resolution infrared sensor

Sidonie Lefebvre, Stéphanie Allassonnière, Jérémie Jakubowicz, Thomas Lasne and Eric Moulines
Machine Vision and Applications 24 (1) 175 (2013)
https://doi.org/10.1007/s00138-012-0437-1

Information Processing in Medical Imaging

Miaomiao Zhang, Nikhil Singh and P. Thomas Fletcher
Lecture Notes in Computer Science, Information Processing in Medical Imaging 7917 37 (2013)
https://doi.org/10.1007/978-3-642-38868-2_4

A stochastic algorithm for probabilistic independent component analysis

Stéphanie Allassonnière and Laurent Younes
The Annals of Applied Statistics 6 (1) (2012)
https://doi.org/10.1214/11-AOAS499

Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents

Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé and Nicholas Ayache
NeuroImage 55 (3) 1073 (2011)
https://doi.org/10.1016/j.neuroimage.2010.11.056