Publications

Scientific production

default

2025

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Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin
T. Lefort, B. Charlier, A. Joly, J. Salmon
TMLR, 2024
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Peerannot: classification for crowdsourced image datasets with Python
T. Lefort, B. Charlier, A. Joly, J. Salmon
Computo, 2024
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The matching problem between functional shapes via a BV-penalty term: a \(\Gamma\)-convergence result
B. Charlier, G. Nardi, A. Trouvé
Interfaces and Free Boundaries, 2024
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Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T. Moreau, M. Massias, A. Gramfort, 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
NeurIps, 2022
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IMODAL: creating learnable user-defined deformation models
L. Lacroix, B. Charlier, A. Trouvé, B. Gris
CVPR, 2021
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AD Course Map charts Alzheimer’s disease progression
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
Nature scientific reports, 2021
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Kernel Operations on the GPU, with Autodiff, without Memory Overflows
B. Charlier, J. Feydy, J. Glaunès, F.-D. Collin, G. Durif
journal of Machine Learning Research, 2021
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Fast geometric learning with symbolic matrices
J. Feydy, B. Charlier, J. Glaunès, M. Bronstein
NeurIPS, 2020
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Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles in Riemannian Geometric Statistics in Medical Image Analysis
N. Charon, B. Charlier, J. Glaunès, P. Gori, P. Roussillon
Academic Press, 2020
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Riemannian geometry learning for disease progression modelling
M. Louis, R. Couronné, I. Koval, B. Charlier, S. Durrleman
IPMI, 2019
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A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds
M. Louis, B. Charlier, P. Jusselin, S. Pal, S. Durrleman
SIAM J. Numer. Anal., 2018
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Metamorphoses of functional shapes in Sobolev spaces
N. Charon, B. Charlier, A. Trouvé
Foundations of Computational Mathematics, 2018
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Parallel Transport in Shape Analysis: A Scalable Numerical Scheme
M. Louis, A. Bône, B. Charlier, S. Durrleman, ADNI
GSI, 2017
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Optimal Transport for Diffeomorphic Registration
J. Feydy, B. Charlier, F.-X. Vialard, G. Peyré
MICCAI, 2017
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A general framework for curve and surface comparison and registration with oriented varifolds
I. Kaltenmark, B. Charlier, N. Charon
CVPR, 2017
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Age and glaucoma-related changes in retinal nerve fiber layer and choroid: point-wise analysis and visualization using functional shapes registration
S. Lee, M.L. Heisler, K. Popuri, N. Charon, B. Charlier, A. Trouvé, P. J. Mackenzie, M. V. Sarunic, M. F. Beg
Frontiers in Neuroscience, 2017
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White matter fiber segmentation using functional varifolds
K. Kumar, P. Gori, B. Charlier, S. Durrleman, O. Colliot, C. Desrosiers
MICCAI MFCA, 2017
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Prediction of the progression of subcortical brain structures in Alzheimer’s disease from baseline

MICCAI MFCA, 2017
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Atlas-based Shape Analysis and Classification of Retinal Optical Coherence Tomography images using the Functional Shape (fshape) Framework
S. Lee, N. Charon, B. Charlier, K. Popuri, E. Lebed, M.V. Sarunic, A. Trouvé, M.F. Beg
Medical Image Analysis, 2017
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The fshape framework for the variability analysis of functional shapes
B. Charlier, N. Charon, A. Trouvé
Foundations of Computational Mathematics, 2015
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Deformetrica: a software for statistical analysis of anatomical shapes
A. Routier, M. Prastawa, B. Charlier, C. Doucet, J. A. Glaunès, S. Durrleman
OHBM, 2015
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Necessary and sufficient condition for the existence of a Fréchet mean on the circle
B. Charlier
ESAIM:P&S, 2013
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On the consistency of Fréchet means in deformable models for curve and image analysis
J. Bigot, B. Charlier
Electronic journal of Statistics, 2011
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Propriétés statistiques des moyennes de Fréchet dans les modèles de déformations
B. Charlier
PhD dissertation, 2011
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