The varifold representation of non-oriented shapes for diffeomorphic registration - Nicolas Charon; Alain Trouvé (CoRR, 2013)

The Varifold Representation of Nonoriented Shapes for Diffeomorphic Registration. - Nicolas Charon; Alain Trouvé (SIAM J. Imaging Sci., 2013)

Functional Currents: A New Mathematical Tool to Model and Analyse Functional Shapes. - Nicolas Charon; Alain Trouvé (J. Math. Imaging Vis., 2014)

Morphometry of anatomical shape complexes with dense deformations and sparse parameters. - Stanley Durrleman; Marcel Prastawa; Nicolas Charon; Julie R. Korenberg; Sarang C. Joshi; Guido Gerig; Alain Trouvé (NeuroImage, 2014)

Spatial-Angular Sparse Coding for HARDI. - Evan Schwab; René Vidal; Nicolas Charon (MICCAI (3), 2016)

A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images. - Kwame S. Kutten; Nicolas Charon; Michael I. Miller; J. Tilak Ratnanather; Karl Deisseroth; Li Ye; Joshua T. Vogelstein (CoRR, 2016)

Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. - Kwame S. Kutten; Joshua T. Vogelstein; Nicolas Charon; Li Ye; Karl Deisseroth; Michael I. Miller (CoRR, 2016)

Efficient Global Spatial-Angular Sparse Coding for Diffusion MRI with Separable Dictionaries. - Evan Schwab; René Vidal; Nicolas Charon (CoRR, 2016)

A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds. - Irene Kaltenmark; Benjamin Charlier; Nicolas Charon (CVPR, 2017)

Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics. - Martin Bauer 004; Martins Bruveris; Nicolas Charon; Jakob Møller-Andersen (GRAIL/MFCA/MICGen@MICCAI, 2017)

A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. - Kwame S. Kutten; Nicolas Charon; Michael I. Miller; J. Tilak Ratnanather; Jordan Matelsky; Alexander D. Baden; Kunal Lillaney; Karl Deisseroth; Li Ye; Joshua T. Vogelstein (MICCAI (1), 2017)

($k, q$)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior. - Evan Schwab; René Vidal; Nicolas Charon (CoRR, 2017)

The Fshape Framework for the Variability Analysis of Functional Shapes. - Benjamin Charlier; Nicolas Charon; Alain Trouvé (Found. Comput. Math., 2017)

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; Marinko V. Sarunic; Alain Trouvé; Mirza Faisal Beg (Medical Image Anal., 2017)

Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. - Evan Schwab; Benjamin D. Haeffele; Nicolas Charon; René Vidal (CoRR, 2018)

Metamorphoses of Functional Shapes in Sobolev Spaces. - Nicolas Charon; Benjamin Charlier; Alain Trouvé (Found. Comput. Math., 2018)

Joint spatial-angular sparse coding for dMRI with separable dictionaries. - Evan Schwab; René Vidal; Nicolas Charon (Medical Image Anal., 2018)

An inexact matching approach for the comparison of plane curves with general elastic metrics. - Yashil Sukurdeep; Martin Bauer 004; Nicolas Charon (ACSSC, 2019)

Inexact Elastic Shape Matching in the Square Root Normal Field Framework. - Martin Bauer 004; Nicolas Charon; Philipp Harms (GSI, 2019)

Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks. - Ravi Shankar; Hsi-Wei Hsieh; Nicolas Charon; Archana Venkataraman (INTERSPEECH, 2019)

A Model for Elastic Evolution on Foliated Shapes. - Dai-Ni Hsieh; Sylvain Arguillère; Nicolas Charon; Michael I. Miller; Laurent Younes (IPMI, 2019)

Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI. - Evan Schwab; Benjamin D. Haeffele; René Vidal; Nicolas Charon (SIAM J. Imaging Sci., 2019)

Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network. - Ravi Shankar; Hsi-Wei Hsieh; Nicolas Charon; Archana Venkataraman (INTERSPEECH, 2020)

Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves. - Emmanuel Hartman; Yashil Sukurdeep; Nicolas Charon; Eric Klassen; Martin Bauer 004 (CVPR Workshops, 2021)

Diffeomorphic Registration with Density Changes for the Analysis of Imbalanced Shapes. - Hsi-Wei Hsieh; Nicolas Charon (IPMI, 2021)

Metrics, Quantization and Registration in Varifold Spaces. - Hsi-Wei Hsieh; Nicolas Charon (Found. Comput. Math., 2021)

A Numerical Framework for Elastic Surface Matching, Comparison, and Interpolation. - Martin Bauer 004; Nicolas Charon; Philipp Harms; Hsi-Wei Hsieh (Int. J. Comput. Vis., 2021)

Mechanistic Modeling of Longitudinal Shape Changes: Equations of Motion and Inverse Problems. - Dai-Ni Hsieh; Sylvain Arguillère; Nicolas Charon; Laurent Younes (SIAM J. Appl. Dyn. Syst., 2022)

A New Variational Model for Shape Graph Registration with Partial Matching Constraints. - Yashil Sukurdeep; Martin Bauer 004; Nicolas Charon (SIAM J. Imaging Sci., 2022)

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes. - Emmanuel Hartman; Emery Pierson; Martin Bauer 004; Nicolas Charon; Mohamed Daoudi (ICCV, 2023)

Body mass classification from skeletal elements using landmark-free morphological atlas estimation with diffeomorphic shape mapping. - Heyuan Li; Gengxin Shi; Lauren Meckel; Deborah Cunningham; Daniel J. Wescott; Adam D. Sylvester; Nicolas Charon; Wojciech Zbijewski (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

A Diffeomorphic Flow-Based Variational Framework for Multi-Speaker Emotion Conversion. - Ravi Shankar; Hsi-Wei Hsieh; Nicolas Charon; Archana Venkataraman (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework. - Emmanuel Hartman; Yashil Sukurdeep; Eric Klassen; Nicolas Charon; Martin Bauer 004 (Int. J. Comput. Vis., 2023)

DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains. - Minglang Yin; Nicolas Charon; Ryan Brody; Lu Lu 010; Natalia A. Trayanova; Mauro Maggioni (CoRR, 2024)

Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions. - Emmanuel Hartman; Nicolas Charon; Martin Bauer 004 (CoRR, 2024)

Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations. - Zan Ahmad; Shiyi Chen; Minglang Yin; Avisha Kumar; Nicolas Charon; Natalia A. Trayanova; Mauro Maggioni (CoRR, 2024)

Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. - Martin Bauer 004; Nicolas Charon; Eric Klassen; Sebastian Kurtek; Tom Needham; Thomas Pierron (J. Nonlinear Sci., 2024)

A scalable framework for learning the geometry-dependent solution operators of partial differential equations. - Minglang Yin; Nicolas Charon; Ryan Brody; Lu Lu 010; Natalia A. Trayanova; Mauro Maggioni (Nat. Comput. Sci., 2024)

Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces. - Emmanuel Hartman; Emery Pierson; Martin Bauer 004; Mohamed Daoudi; Nicolas Charon (Int. J. Comput. Vis., 2025)

SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data. - Emmanuel Hartman; Nicolas Charon (CoRR, 2025)