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A New Class of Stochastic EM Algorithms. Escaping Local Maxima and Handling Intractable Sampling

Stéphanie Allassonnière , Juliette Chevallier
Computational Statistics and Data Analysis, 2021, 159, pp.107159. ⟨10.1016/j.csda.2020.107159⟩
Journal articles hal-02044722v4
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Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case

Clément Chadebec , Louis J Vincent , Stéphanie Allassonnière
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmark, Nov 2022, New Orleans, United States
Conference papers hal-03697439v1
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Bayesian mixed effect atlas estimation with a diffeomorphic deformation model

Stéphanie Allassonnière , Stanley Durrleman , Estelle Kuhn
[Technical Report] R2014-2, Inra. 2014
Reports hal-02801668v1
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Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis

Fleur Gaudfernau , Eleonore Blondiaux , Stéphanie Allassonnière
2022
Preprints, Working Papers, ... hal-03546165v1
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Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model

Stéphanie Allassonnière , S Durrleman , E Kuhn
SIAM Journal on Imaging Sciences, 2015, 8 (3), pp.29. ⟨10.1137/140971762⟩
Journal articles hal-01246570v1
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A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations

Jean-Baptiste Schiratti , Stéphanie Allassonniere , Olivier Colliot , Stanley Durrleman
Journal of Machine Learning Research, 2017, 18, pp.1-33
Journal articles hal-01540367v3
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Detecting Long Distance Conditional Correlations Between Anatomical Regions Using Gaussian Graphical Models

Stéphanie Allassonnière , Pierre Jolivet , Christophe Giraud
Proceedings of the Third International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Modelling Biological Shape Variability, Sep 2011, Toronto, Canada. pp.111-122
Conference papers inria-00623930v1
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Inconsistency of Template Estimation with the Fréchet mean in Quotient Space

Loïc Devilliers , Xavier Pennec , Stéphanie Allassonnière
Information Processing in Medical Imaging. IPMI 2017., Martin Styner; Marc Niethammer; Dinggang Shen; Stephen Aylward; Ipek Oguz; Hongtu Zhu, Jun 2017, Boone, United States. pp.16-27, ⟨10.1007/978-3-319-59050-9_2⟩
Conference papers hal-01481074v2
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Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data

Jean-Baptiste Schiratti , Stéphanie Allassonnière , Olivier Colliot , Stanley Durrleman
5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2015, Munich, Germany
Conference papers hal-01245905v1
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Statistical models for deformable templates in image and shape analysis (Modèles statistiques d'atlas déformables pour l'analyse d'images et de formes)

Stéphanie Allassonnière , Jérémie Bigot , Joan Alexis Glaunès , Florian Maire , Frederic J.P. Richard et al.
Annales Mathématiques Blaise Pascal, 2013, 20 (1), pp.1-35. ⟨10.5802/ambp.320⟩
Journal articles hal-00857423v1
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Probabilistic Atlas and Geometric Variability Estimation to Drive Tissue Segmentation

Hao Xu , Bertrand Thirion , Stéphanie Allassonnière
Statistics in Medicine, 2014, 33 (20), pp.24. ⟨10.1002/sim.6156⟩
Journal articles hal-01094739v1
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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

Stéphanie Allassonnière , Loïc Devilliers , Xavier Pennec
Mathematical Foundations of Computational Anatomy (MFCA'15), Oct 2015, Munich, Germany. pp.131-142
Conference papers hal-01203816v1
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Asymptotic Analysis of a Matrix Latent Decomposition Model

Clément Mantoux , Stanley Durrleman​ , Stéphanie Allassonnière
ESAIM: Probability and Statistics, 2022, 26, pp.208-242. ⟨10.1051/ps/2022004⟩
Journal articles hal-03674722v1

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

Estelle Kuhn , Stéphanie Allassonniere , Stanley Durrleman
30th European Meeting of Statisticians -EMS, Jul 2015, Amsterdam, Netherlands. 2015
Poster communications hal-01606163v1
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Learning the clustering of longitudinal shape data sets into a mixture of independent or branching trajectories

Vianney Debavelaere , Stanley Durrleman , Stéphanie Allassonnière
International Journal of Computer Vision, 2020, ⟨10.1007/s11263-020-01337-8⟩
Journal articles hal-02283747v2
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Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects

Igor Koval , Stéphanie Allassonnière , Stanley Durrleman
2019
Preprints, Working Papers, ... hal-02089881v1
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Data Augmentation with Variational Autoencoders and Manifold Sampling

Clément Chadebec , Stéphanie Allassonnière
DALI 2021 : 1st MICCAI Workshop on Data Augmentation, Labeling, and Imperfections, Oct 2021, Strasbourg, France
Conference papers hal-03180775v2

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

Stéphanie Allassonnière , Estelle Kuhn
Computational Statistics and Data Analysis, 2015, 91, pp.4-19. ⟨10.1016/j.csda.2015.04.011⟩
Journal articles hal-01535284v1
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Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold

Clément Mantoux , Baptiste Couvy-Duchesne , Federica Cacciamani , Stéphane Epelbaum , Stanley Durrleman​ et al.
Entropy, 2021, 23 (4), pp.490. ⟨10.3390/e23040490⟩
Journal articles hal-03215733v1
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Learning spatiotemporal trajectories from manifold-valued longitudinal data

Jean-Baptiste Schiratti , Stéphanie Allassonniere , Olivier Colliot , Stanley Durrleman
Neural Information Processing Systems, Dec 2015, Montréal, Canada
Conference papers hal-01163373v3
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CONSTRUCTION OF BAYESIAN DEFORMABLE MODELS VIA STOCHASTIC APPROXIMATION ALGORITHM: A CONVERGENCE STUDY

Stéphanie Allassonnière , Estelle Kuhn , Alain Trouvé
2008
Preprints, Working Papers, ... hal-00151999v2
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Optimisation des parcours patients pour lutter contre l'errance de diagnostic des patients atteints de maladies rares

Frédéric Logé , Rémi Besson , Stéphanie Allassonnière
Journées de Statistiques de la SFDS, May 2020, Nice, France
Conference papers hal-02973092v1

Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis

Fleur Gaudfernau , Eleonore Blondiaux , Stéphanie Allassonniere
MICCAI 2021 - Perinatal, Preterm and Paediatric Image Analysis Workshop, Oct 2021, Strasbourg, France. ⟨10.1007/978-3-030-87735-4_26⟩
Conference papers hal-03362573v1
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Template estimation in computational anatomy: Fréchet means in top and quotient spaces are not consistent

Loïc Devilliers , Stéphanie Allassonnière , Alain Trouvé , Xavier Pennec
SIAM Journal on Imaging Sciences, 2017, 10 (3), pp.1139-1169. ⟨10.1137/16M1083931⟩
Journal articles hal-01352707v4
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Convergent Stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation

Stéphanie Allassonniere , Estelle Kuhn
2013
Preprints, Working Papers, ... hal-00720617v4
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Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

Clément Chadebec , Elina Thibeau-Sutre , Ninon Burgos , Stéphanie Allassonnière
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ⟨10.1109/TPAMI.2022.3185773⟩
Journal articles hal-03214093v1
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Deciphering the progression of PET alterations using surface-based spatiotemporal modeling

Igor Koval , Arnaud Marcoux , Ninon Burgos , Stéphanie Allassonnière , Olivier Colliot et al.
OHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Conference papers hal-02134909v1
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Bayesian consistent estimation in deformable models using stochastic algorithms: Applications to medical images

Stéphanie Allassonnière , Estelle Kuhn , Alain Trouvé
Journal de la Société Française de Statistique, 2010, 151 (1), pp.1-16
Journal articles hal-02653610v1

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

Estelle Kuhn , Stéphanie Allassonnière , Stanley Durrleman
8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), Dec 2015, London, United Kingdom. , 2015
Poster communications hal-01606162v1
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Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

Igor Koval , Jean-Baptiste Schiratti , Alexandre Routier , Michael Bacci , Olivier Colliot et al.
Medical Image Computing and Computer Assisted Intervention, Sep 2017, Quebec City, Canada
Conference papers hal-01540828v1