| 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 | 289 | 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 | 199 | 2012 |
| Construction of bayesian deformable models via a stochastic approximation algorithm: a convergence study S Allassonnière, E Kuhn, A Trouvé | 152 | 2010 |
| 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 45 (3), 2879-2896, 2022 | 136 | 2022 |
| Learning spatiotemporal trajectories from manifold-valued longitudinal data JB Schiratti, S Allassonniere, O Colliot, S Durrleman Advances in neural information processing systems 28, 2015 | 110 | 2015 |
| A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations JB Schiratti, S Allassonnière, O Colliot, S Durrleman Journal of Machine Learning Research 18 (133), 1-33, 2017 | 109 | 2017 |
| AD Course Map charts Alzheimer’s disease progression I Koval, A Bône, M Louis, T Lartigue, S Bottani, A Marcoux, ... Scientific Reports 11 (1), 8020, 2021 | 86 | 2021 |
| Sparse adaptive parameterization of variability in image ensembles S Durrleman, S Allassonnière, S Joshi International Journal of Computer Vision 101 (1), 161-183, 2013 | 82 | 2013 |
| Geodesic shooting and diffeomorphic matching via textured meshes S Allassonnière, A Trouvé, L Younes International Workshop on Energy Minimization Methods in Computer Vision and …, 2005 | 53 | 2005 |
| Pythae: Unifying generative autoencoders in python-a benchmarking use case C Chadebec, L Vincent, S Allassonniere Advances in Neural Information Processing Systems 35, 21575-21589, 2022 | 51 | 2022 |
| Data augmentation with variational autoencoders and manifold sampling C Chadebec, S Allassonnière MICCAI Workshop on Deep Generative Models, 184-192, 2021 | 48 | 2021 |
| A geometric perspective on variational autoencoders C Chadebec, S Allassonnière Advances in neural information processing systems 35, 19618-19630, 2022 | 42 | 2022 |
| 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 | 42 | 2018 |
| 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 | 42 | 2013 |
| A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data JB Schiratti, S Allassonniere, A Routier, ... International Conference on Information Processing in Medical Imaging, 564-575, 2015 | 38 | 2015 |
| Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks I Koval, JB Schiratti, A Routier, M Bacci, O Colliot, S Allassonnière, ... International conference on medical image computing and computer-assisted …, 2017 | 36 | 2017 |
| Stochastic algorithm for bayesian mixture effect template estimation S Allassonnière, E Kuhn ESAIM: Probability and Statistics 14, 382-408, 2010 | 36* | 2010 |
| 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 | 35 | 2015 |
| 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 | 35 | 2015 |
| A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling S Allassonnière, J Chevallier Computational Statistics & Data Analysis 159, 107159, 2021 | 33 | 2021 |
Stanley DurrlemanInria, Paris Brain Institute (ICM)Verified email at inria.fr
