Stéphanie Allassonnière
Orcid: 0000-0002-5692-4945Affiliations:
- Université de Paris, France
According to our database1,
Stéphanie Allassonnière
authored at least 43 papers
between 2005 and 2024.
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Bibliography
2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis.
CoRR, 2023
2022
CoRR, 2022
Spatio-temporal mixture process estimation to detect dynamical changes in population.
Artif. Intell. Medicine, 2022
Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM.
Algorithms, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022
2021
Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors.
SN Comput. Sci., 2021
A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data.
SIAM J. Imaging Sci., 2021
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold.
Entropy, 2021
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling.
Comput. Stat. Data Anal., 2021
Data Generation in Low Sample Size Setting Using Manifold Sampling and a Geometry-Aware VAE.
CoRR, 2021
Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
2020
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories.
Int. J. Comput. Vis., 2020
Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020
2019
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects.
CoRR, 2019
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
CoRR, 2018
2017
Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent.
SIAM J. Imaging Sci., 2017
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations.
J. Mach. Learn. Res., 2017
Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space.
Entropy, 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2015
SIAM J. Imaging Sci., 2015
Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation.
Comput. Stat. Data Anal., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.
Proceedings of the Information Processing in Medical Imaging, 2015
2013
Mach. Vis. Appl., 2013
Int. J. Comput. Vis., 2013
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas.
Comput. Vis. Image Underst., 2013
Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data.
Comput. Math. Methods Medicine, 2013
Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2006
Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005