Articles


Conférences


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    L. Lacroix, B. Charlier, A. Trouvé, B. Gris. IMODAL: creating learnable user-defined deformation models -- CVPR, 2021 . [pdf]

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    J. Feydy, B. Charlier, J. Glaunès, M. Bronstein. Fast geometric learning with symbolic matrices -- NeurIPS, 2020 .

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    M. Louis, R. Couronné, I. Koval, B. Charlier, S. Durrleman. Riemannian geometry learning for disease progression modelling -- IPMI, 2019 . [pdf]

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    M. Louis, A. Bône, B. Charlier, S. Durrleman, ADNI. Parallel Transport in Shape Analysis: A Scalable Numerical Scheme -- GSI, 2017 . [pdf]

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    J. Feydy, B. Charlier, F.-X. Vialard, G. Peyré. Optimal Transport for Diffeomorphic Registration -- MICCAI, 2017 . [pdf] [code]

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    I. Kaltenmark, B. Charlier, N. Charon. A general framework for curve and surface comparison and registration with oriented varifolds -- CVPR, 2017 . [pdf] [poster] [code]

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    K. Kumar, P. Gori, B. Charlier, S. Durrleman, O. Colliot, C. Desrosiers White matter fiber segmentation using functional varifolds -- MICCAI MFCA, 2017. [pdf]
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    A. Bône, M. Louis, A. Routier, J. Samper-González, M. Bacci, B. Charlier, O. Colliot, S. Durrleman. Prediction of the progression of subcortical brain structures in Alzheimer’s disease from baseline -- MICCAI MFCA, 2017. [pdf]

  • A. Routier, M. Prastawa, B. Charlier, C. Doucet, J. A. Glaunès, S. Durrleman. Deformetrica: a software for statistical analysis of anatomical shapes OHBM, 2015 . [pdf]

Chapitre de livre


Preprints


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    B. Charlier, G. Nardi, A. Trouvé. The matching problem between functional shapes via a BV-penalty term: a \(\Gamma\)-convergence result. [pdf]

Mémoire


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    B. Charlier. Propriétés statistiques des moyennes de Fréchet dans les modèles de déformations. [pdf]