Stephanie Allassonniere
Stephanie Allassonniere
University of Paris
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Towards a coherent statistical framework for dense deformable template estimation
S Allassonnière, Y Amit, A Trouvé
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007
Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical …
I Rekik, S Allassonnière, TK Carpenter, JM Wardlaw
NeuroImage: Clinical 1 (1), 164-178, 2012
Construction of bayesian deformable models via a stochastic approximation algorithm: a convergence study
S Allassonnière, E Kuhn, A Trouvé
Learning spatiotemporal trajectories from manifold-valued longitudinal data
JB Schiratti, S Allassonniere, O Colliot, S Durrleman
Advances in neural information processing systems 28, 2015
Sparse adaptive parameterization of variability in image ensembles
S Durrleman, S Allassonnière, S Joshi
International Journal of Computer Vision 101, 161-183, 2013
A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations
JB Schiratti, S Allassonnière, O Colliot, S Durrleman
The Journal of Machine Learning Research 18 (1), 4840-4872, 2017
Geodesic shooting and diffeomorphic matching via textured meshes
S Allassonnière, A Trouvé, L Younes
Energy Minimization Methods in Computer Vision and Pattern Recognition: 5th …, 2005
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas
I Rekik, S Allassonnière, O Clatz, E Geremia, E Stretton, H Delingette, ...
Computer Vision and Image Understanding 117 (3), 238-249, 2013
Spatiotemporal propagation of the cortical atrophy: Population and individual patterns
I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonniere, ...
Frontiers in neurology 9, 235, 2018
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Stochastic algorithm for bayesian mixture effect template estimation
S Allassonnière, E Kuhn
ESAIM: Probability and Statistics 14, 382-408, 2010
AD Course Map charts Alzheimer’s disease progression
I Koval, A Bône, M Louis, T Lartigue, S Bottani, A Marcoux, ...
Scientific Reports 11 (1), 1-16, 2021
Bayesian mixed effect atlas estimation with a diffeomorphic deformation model
S Allassonnière, S Durrleman, E Kuhn
SIAM Journal on Imaging Sciences 8 (3), 1367-1395, 2015
Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder
C Chadebec, E Thibeau-Sutre, N Burgos, S Allassonnière
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Convergent Stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation
S Allassonniere, E Kuhn
Computational Statistics & Data Analysis 91, 4-19, 2015
A stochastic algorithm for probabilistic independent component analysis
S Allassonniere, L Younes
A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
JB Schiratti, S Allassonniere, A Routier, ...
Information Processing in Medical Imaging: 24th International Conference …, 2015
Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories
V Debavelaere, S Durrleman, S Allassonnière, ...
International Journal of Computer Vision 128, 2794-2809, 2020
Statistical models for deformable templates in image and shape analysis
S Allassonnière, J Bigot, JA Glaunès, F Maire, FJP Richard
Annales mathématiques Blaise Pascal 20 (1), 1-35, 2013
Map estimation of statistical deformable templates via nonlinear mixed effects models: Deterministic and stochastic approaches
S Allassonnière, E Kuhn, A Trouvé
2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, 80-91, 2008
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