Articles et Conférences

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    T. Lefort, B. Charlier, A. Joly, J. Salmon. Peerannot: classification for crowdsourced image datasets with Python -- Computo, 2024 (to appear) [pdf]

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    G. Nardi, B. Charlier, A. Trouvé. The matching problem between functional shapes via a BV-penalty term: a \(\Gamma\)-convergence result -- Interfaces and Free Boundaries, 2024 (to appear) [pdf]

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    T. Moreau, M. Massias, A. Gramfort, Alexandre, P. Ablin, P.A. Bannier, B. Charlier, M. Dagréou, T. Dupré la Tour, G. Durif, C. F. Dantas, Q. Klopfenstein, J. Larsson, E. Lai, T. Lefort, B. Malézieux, B. Moufad, B. T. Nguyen, A. Rakotomamonjy, Z. Ramzi, J. Salmon, S. Vaiter. Benchopt: Reproducible, efficient and collaborative optimization benchmarks -- NeurIps, 2022 . [code] [site]

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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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    I. Koval, A. Bône, M. Louis, T. Lartigue, S. Bottani, A. Marcoux, J. Samper-González, N. Burgos, B. Charlier, A. Bertrand, S. Epelbaum, O. Colliot, S. Allassonnière, S. Durrleman. AD Course Map charts Alzheimer’s disease progression -- Nature scientific reports, 2021 .

  • Jacobi fields

    B. Charlier, J. Feydy, J. Glaunès, F.-D. Collin, G. Durif. Kernel Operations on the GPU, with Autodiff, without Memory Overflows -- Journal of Machine Learning Research, 2021 .

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

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    N. Charon, B. Charlier, J. Glaunès, P. Gori, P. Roussillon. Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles -- Riemannian Geometric Statistics in Medical Image Analysis, Academic Press, 2020 . [pdf]

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

  • Jacobi fields

    M. Louis, B. Charlier, P. Jusselin, S. Pal, S. Durrleman. A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds -- SIAM J. Numer. Anal., 2018 . [pdf]

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    N. Charon, B. Charlier, A. Trouvé. Metamorphoses of functional shapes in Sobolev spaces -- Foundations of Computational Mathematics, 2018 . [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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    S. Lee, M.L. Heisler, K. Popuri, N. Charon, B. Charlier, A. Trouvé, P. J. Mackenzie, M. V. Sarunic, M. F. Beg. Age and glaucoma-related changes in retinal nerve fiber layer and choroid: point-wise analysis and visualization using functional shapes registration -- Frontiers in Neuroscience, 2017 .

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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]

  • fbundle

    S. Lee, N. Charon, B. Charlier, K. Popuri, E. Lebed, M.V. Sarunic, A. Trouvé, M.F. Beg. Atlas-based Shape Analysis and Classification of Retinal Optical Coherence Tomography Images using the Functional Shape (fshape) Framework -- Medical Image Analysis, 35:570-581, 2016 . [pdf]

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    B. Charlier, N. Charon, A. Trouvé. The fshape framework for the variability analysis of functional shapes -- Foundations of Computational Mathematics, 2015 . [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]

  • circle

    B. Charlier. Necessary and sufficient condition for the existence of a Fréchet mean on the circle -- ESAIM:P&S, 17 : 635-649, 2013 . [pdf]

  • curves

    J. Bigot, B. Charlier. On the consistency of Fréchet means in deformable models for curve and image analysis -- Electronic Journal of Statistics, 5 : 1054--1089, 2011 .

Preprints

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    T. Lefort, B. Charlier, A. Joly, J. Salmon. Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin. [pdf]

Mémoire

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