Stéphanie Allassonnière

发表

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

Stanley Durrleman, Vianney Debavelaere, Stéphanie Allassonnière, 2020, International Journal of Computer Vision.

Aircraft classification with a low resolution infrared sensor

Eric Moulines, Jérémie Jakubowicz, Stéphanie Allassonnière, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Bayesian Consistent Estimation in Deformable Models using Stochastic Algorithms: Applications to Medical Images

Alain Trouvé, Stéphanie Allassonnière, Estelle Kuhn, 2010 .

Detecting Long Distance Conditional Correlations Between Anatomical Regions Using Gaussian Graphical Models

Christophe Giraud, Pierre Jolivet, Stéphanie Allassonnière, 2011 .

A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations

Stanley Durrleman, Olivier Colliot, Stéphanie Allassonnière, 2017, J. Mach. Learn. Res..

New Results - Computational Physiology

Olivier Clatz, Hervé Delingette, Ezequiel Geremia, 2006 .

Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects pdf

Stanley Durrleman, Stéphanie Allassonnière, Igor Koval, 2019, ArXiv.

A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data

Stanley Durrleman, Olivier Colliot, Stéphanie Allassonnière, 2015, IPMI.

Learning spatiotemporal trajectories from manifold-valued longitudinal data

Stanley Durrleman, Olivier Colliot, Stéphanie Allassonnière, 2015, NIPS.

Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space

Xavier Pennec, Stéphanie Allassonnière, Loïc Devilliers, 2017, IPMI.

Sparse Adaptive Parameterization of Variability in Image Ensembles

Stanley Durrleman, Sarang C. Joshi, Stéphanie Allassonnière, 2012, International Journal of Computer Vision.

Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model

Stanley Durrleman, Stéphanie Allassonnière, Estelle Kuhn, 2015, SIAM J. Imaging Sci..

Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data

Stéphanie Allassonnière, Juliette Chevallier, Stephane Oudard, 2017, NIPS.

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories

Stanley Durrleman, Alexandre Bône, Vianney Debavelaere, 2019, MICCAI.

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses

Hao Xu, Bertrand Thirion, Stéphanie Allassonnière, 2013, MICCAI.

Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space

Alain Trouvé, Xavier Pennec, Stéphanie Allassonnière, 2017, Entropy.

Detection and classification of poorly known aircraft with a low-resolution infrared sensor

Eric Moulines, Stéphanie Allassonnière, Sidonie Lefebvre, 2011, Defense + Commercial Sensing.

Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models

Yali Amit, Alain Trouvé, Stéphanie Allassonnière, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes

Alain Trouvé, Laurent Younes, Stéphanie Allassonnière, 2005, EMMCVPR.

Statistical models for deformable templates in image and shape analysis

Stéphanie Allassonnière, Jérémie Bigot, Florian Maire, 2013 .

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task pdf

Stéphanie Allassonnière, Erwan Le Pennec, Antoine Neuraz, 2018, ArXiv.

Bayesian Deformable Models Building via Stochastic Approximation Algorithm: A Convergence Study

Alain Trouvé, Stéphanie Allassonnière, Estelle Kuhn, 2007 .

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data

Joanna M. Wardlaw, Stanley Durrleman, Islem Rekik, 2013, Comput. Math. Methods Medicine.

Probabilistic atlas and geometric variability estimation to drive tissue segmentation

Bertrand Thirion, Stéphanie Allassonnière, Hao Xu, 2014, Statistics in medicine.

Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks pdf

Stanley Durrleman, Olivier Colliot, Stéphanie Allassonnière, 2017, MICCAI.

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

Stéphanie Allassonnière, Estelle Kuhn, S. Allassonnière, 2012, Comput. Stat. Data Anal..

Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent

Alain Trouvé, Xavier Pennec, Stéphanie Allassonnière, 2016, SIAM J. Imaging Sci..

New Results - Deformable Template estimation for joint anatomical and functional brain images

Hao Xu, Bertrand Thirion, Stéphanie Allassonnière, 2013 .

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2013, Comput. Vis. Image Underst..

Data Augmentation with Variational Autoencoders and Manifold Sampling

Stéphanie Allassonnière, Clément Chadebec, S. Allassonnière, 2021, DGM4MICCAI/DALI@MICCAI.

A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling

Stéphanie Allassonnière, Juliette Chevallier, S. Allassonnière, 2021, Comput. Stat. Data Anal..

On the convergence of stochastic approximations under a subgeometric ergodic Markov dynamic

Stanley Durrleman, Vianney Debavelaere, Stéphanie Allassonnière, 2021, Electronic Journal of Statistics.

On the curved exponential family in the Stochastic Approximation Expectation Maximization Algorithm

Vianney Debavelaere, Stéphanie Allassonnière, S. Allassonnière, 2021, ESAIM: Probability and Statistics.

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold

Stanley Durrleman, Stéphanie Allassonnière, Stéphane Epelbaum, 2021, Entropy.

Corrigendum to “Medical image analysis methods in MR/CT-imaged acute–subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal” [NeuroImage: Clinical 1 (2012) 164–178]

Joanna M. Wardlaw, Trevor K. Carpenter, Islem Rekik, 2013, NeuroImage: Clinical.

Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data

Stanley Durrleman, Olivier Colliot, Stéphanie Allassonnière, 2015 .

MAP Estimation of Statistical Deformable Template Via Nonlinear Mixed Effect Models : Deterministic and Stochastic Approaches

Alain Trouvé, Stéphanie Allassonnière, Estelle Kuhn, 2008 .

Estimating the Template in the Total Space with the Fréchet Mean on Quotient Spaces may have a Bias: a Case Study on Vector Spaces Quotiented by the Group of Translations

Xavier Pennec, Stéphanie Allassonnière, Loïc Devilliers, 2015 .