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Riemannian Geometry Learning for Disease Progression Modelling

 Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman
Information Processing in Medical Imaging - IPMI 2019, Jun 2019, Hong-Kong, China. pp.542-553, ⟨10.1007/978-3-030-20351-1_42⟩
Communication dans un congrès hal-02429839v1
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IMODAL: creating learnable user-defined deformation models

 Leander Lacroix , Benjamin Charlier , Alain Trouvé , Barbara Gris
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2021, Virtual event, United States. pp.12905-12913, ⟨10.1109/cvpr46437.2021.01271⟩
Communication dans un congrès hal-03251752v1
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Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework

 Sieun Lee , Nicolas Charon , Benjamin Charlier , Karteek Popuri , Evgeniy Lebed , et al.
Medical Image Analysis, 2017, 35, pp.570 - 581. ⟨10.1016/j.media.2016.08.012⟩
Article dans une revue hal-01817551v1
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Riemannian geometry learning for disease progression modelling

 Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman
2019
Pré-publication, Document de travail hal-02079820v2

Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin

 Tanguy Lefort , Benjamin Charlier , Alexis Joly , Joseph Salmon
2022
Pré-publication, Document de travail hal-03812716v1
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Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline

 Alexandre Bône , Maxime Louis , Alexandre Routier , Jorge Samper , Michael Bacci , et al.
6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Quebec City, Canada
Communication dans un congrès hal-01563587v2
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Consistent estimation of a mean planar curve modulo similarities

 Jérémie Bigot , Benjamin Charlier
2012
Rapport hal-00634899v2
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Optimal Transport for Diffeomorphic Registration

 Jean Feydy , Benjamin Charlier , François-Xavier Vialard , Gabriel Peyré
MICCAI 2017, Sep 2017, Quebec, Canada
Communication dans un congrès hal-01540455v1
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Necessary and sufficient condition for the existence of a Fréchet mean on the circle

 Benjamin Charlier
2012
Pré-publication, Document de travail hal-00620965v2
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Learning Riemannian geometry for mixed-effect models using deep generative networks.

 Maxime Louis , Benjamin Charlier , Stanley Durrleman
2018
Pré-publication, Document de travail hal-01828949v1
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Parallel transport in shape analysis : a scalable numerical scheme

 Maxime Louis , Alexandre Bône , Benjamin Charlier , Stanley Durrleman
Geometric Science of Information, Nov 2017, Paris, France
Communication dans un congrès hal-01565478v1
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AD Course Map charts Alzheimer’s disease progression

 Igor Koval , Alexandre Bône , Maxime Louis , Thomas Lartigue , Simona Bottani , et al.
Scientific Reports, 2021, 11 (1), ⟨10.1038/s41598-021-87434-1⟩
Article dans une revue hal-01964821v3

Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles

 Nicolas Charon , Benjamin Charlier , Joan Glaunès , Pietro Gori , Pierre Roussillon
Riemannian Geometric Statistics in Medical Image Analysis, Elsevier, pp.441-477, 2020, ⟨10.1016/B978-0-12-814725-2.00021-2⟩
Chapitre d'ouvrage hal-02341029v1
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Fast geometric learning with symbolic matrices

 Jean Feydy , Joan Alexis Glaunès , Benjamin Charlier , Michael M Bronstein
Thirty-fourth Conference on Neural Information Processing Systems, Dec 2020, Virtual-only, Canada
Communication dans un congrès hal-03232595v1
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Deformetrica: a software for statistical analysis of anatomical shapes

 Alexandre Routier , Marcel Prastawa , Benjamin Charlier , Cédric Doucet , Joan Alexis Glaunès , et al.
21st Annual Meeting of the Organization for Human Brain Mapping, OHBM 2015, Jun 2015, Honolulu, United States
Communication dans un congrès hal-01187469v1

KeOps: Calcul rapide sur GPU dans les espaces à noyaux

 Benjamin Charlier , Jean Feydy , Joan Alexis Glaunès
Journées de Statistique de la SFdS, May 2018, Palaiseau, France
Communication dans un congrès hal-03973487v1
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A Fanning Scheme for the Parallel Transport Along Geodesics on Riemannian Manifolds

 Maxime Louis , Benjamin Charlier , Paul Jusselin , Susovan Pal , Stanley Durrleman
SIAM Journal on Numerical Analysis, 2018, 56 (4), pp.2563-2584. ⟨10.1137/17M1130617⟩
Article dans une revue hal-01560787v2
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A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds

 Irène Kaltenmark , Benjamin Charlier , Nicolas Charon
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2017, Honolulu, United States. ⟨10.1109/CVPR.2017.487⟩
Communication dans un congrès hal-01817514v1

Metamorphoses of functional shapes in Sobolev spaces

 Nicolas Charon , Benjamin Charlier , Alain Trouvé
Foundations of Computational Mathematics, In press, 18 (6), pp.1535-1596. ⟨10.1007/s10208-018-9374-3⟩
Article dans une revue hal-01587393v1
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White Matter Fiber Segmentation Using Functional Varifolds

 Kuldeep Kumar , Pietro Gori , Benjamin Charlier , Stanley Durrleman , Olivier Colliot , et al.
MFCA 2017 - 6th MICCAI workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Québec, Canada. pp.92-100
Communication dans un congrès hal-01589649v1
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Kernel Operations on the GPU, with Autodiff,without Memory Overflows

 Benjamin Charlier , Jean Feydy , Joan Glaunès , François-David Collin , Ghislain Durif
Journal of Machine Learning Research, 2021, 22 (74), pp.1-6
Article dans une revue hal-02517462v2
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The Fshape Framework for the Variability Analysis of Functional Shapes

 Benjamin Charlier , Nicolas Charon , Alain Trouvé
Foundations of Computational Mathematics, 2017, 17 (2), pp.287-357. ⟨10.1007/s10208-015-9288-2⟩
Article dans une revue hal-00981805v1
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Age and Glaucoma-Related Characteristics in Retinal Nerve Fiber Layer and Choroid: Localized Morphometrics and Visualization Using Functional Shapes Registration

 Sieun Lee , Morgan L. Heisler , Karteek Popuri , Nicolas Charon , Benjamin Charlier , et al.
Frontiers in Neuroscience, 2017, 11, ⟨10.3389/fnins.2017.00381⟩
Article dans une revue hal-01817576v1
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On the consistency of Fréchet means in deformable models for curve and image analysis

 Jérémie Bigot , Benjamin Charlier
2010
Pré-publication, Document de travail hal-00522831v4
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Peerannot: classification for crowdsourced image datasets with Python

 Tanguy Lefort , Benjamin Charlier , Alexis Joly , Joseph Salmon
2023
Pré-publication, Document de travail hal-04202889v1
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