Gap filling in 3D vessel like patterns with tensor fields - application to high resolution computed tomography images of vessel networks. - Laurent Risser; Franck Plouraboué; Xavier Descombes (VISAPP (1), 2007)

Gap Filling of 3-D Microvascular Networks by Tensor Voting. - Laurent Risser; Franck Plouraboué; Xavier Descombes (IEEE Trans. Medical Imaging, 2008)

Multivariate Spatial Gaussian Mixture Modeling for statistical clustering of hemodynamic parameters in functional MRI. - Anne-Laure Fouque; Philippe Ciuciu; Laurent Risser (ICASSP, 2009)

Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis. - Laurent Risser; Jérôme Idier; Philippe Ciuciu; Thomas Vincent (ICIP, 2009)

Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis. - Laurent Risser; Thomas Vincent; Philippe Ciuciu; Jérôme Idier (MICCAI (1), 2009)

Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search. - Dong Ping Zhang; Laurent Risser; Coert Metz; Lisan Neefjes; Nico Mollet; Wiro J. Niessen; Daniel Rueckert (ISBI, 2010)

Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration. - Dong Ping Zhang; Laurent Risser; François-Xavier Vialard; Philip J. Edwards; Coert Metz; Lisan Neefjes; Nico Mollet; Wiro J. Niessen; Daniel Rueckert (MIAR, 2010)

Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. - Laurent Risser; François-Xavier Vialard; Robin Wolz; Darryl D. Holm; Daniel Rueckert (MICCAI (2), 2010)

Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies. - Laurent Risser; François-Xavier Vialard; Maria Murgasova; Darryl D. Holm; Daniel Rueckert (WBIR, 2010)

Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA. - Dong Ping Zhang; Laurent Risser; Ola Friman; Coert Metz; Lisan Neefjes; Nico Mollet; Wiro J. Niessen; Daniel Rueckert (WBIR, 2010)

Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series. - Thomas Vincent; Laurent Risser; Philippe Ciuciu (IEEE Trans. Medical Imaging, 2010)

Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. - Manav Bhushan; Julia A. Schnabel; Laurent Risser; Mattias P. Heinrich; J. Michael Brady; Mark Jenkinson (MICCAI (1), 2011)

Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images. - François-Xavier Vialard; Laurent Risser; Darryl D. Holm; Daniel Rueckert (MIUA, 2011)

Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. - Laurent Risser; François-Xavier Vialard; Robin Wolz; Maria Murgasova; Darryl D. Holm; Daniel Rueckert (IEEE Trans. Medical Imaging, 2011)

Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI. - Laurent Risser; Thomas Vincent; Florence Forbes; Jérôme Idier; Philippe Ciuciu (J. Signal Process. Syst., 2011)

Hybrid feature-based Log-Demons registration for tumour tracking in 2-D liver ultrasound images. - Amalia Cifor; Laurent Risser; Daniel Chung; Ewan M. Anderson; Julia A. Schnabel (ISBI, 2012)

Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. - Laurent Risser; Mattias P. Heinrich; Tahreema N. Matin; Julia A. Schnabel (ISBI, 2012)

Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis. - Jean-Baptiste Fiot; Laurent Risser; Laurent D. Cohen; Jurgen Fripp; François-Xavier Vialard (STIA, 2012)

Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation. - François-Xavier Vialard; Laurent Risser; Daniel Rueckert; Colin J. Cotter (Int. J. Comput. Vis., 2012)

Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups. - Martins Bruveris; Laurent Risser; François-Xavier Vialard (Multiscale Model. Simul., 2012)

Coupling and robustness of intra-cortical vascular territories. - Romain Guibert; Caroline Fonta; Laurent Risser; Franck Plouraboué (NeuroImage, 2012)

Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. - Amalia Cifor; Laurent Risser; Mattias P. Heinrich; Daniel Chung; Julia A. Schnabel (Abdominal Imaging, 2013)

Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. - Bartlomiej W. Papiez; Mattias Paul Heinrich; Laurent Risser; Julia A. Schnabel (MICCAI (3), 2013)

Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation. - Tanya Schmah; Laurent Risser; François-Xavier Vialard (MICCAI (1), 2013)

Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions. - Laurent Risser; François-Xavier Vialard; Habib Y. Baluwala; Julia A. Schnabel (Medical Image Anal., 2013)

Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images. - Amalia Cifor; Laurent Risser; Daniel Chung; Ewan M. Anderson; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2013)

Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains. - Laurent Risser; Lionel Dolius; Caroline Fonta; Muriel Mescam (EMBC, 2014)

Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework. - François-Xavier Vialard; Laurent Risser (MICCAI (1), 2014)

An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. - Bartlomiej W. Papiez; Mattias P. Heinrich; Jérôme Fehrenbach; Laurent Risser; Julia A. Schnabel (Medical Image Anal., 2014)

Automatic Segmentation of Breast MR Images Through a Markov Random Field Statistical Model. - Sophie Ribes; David Didierlaurent; Nicolas Decoster; Eric Gonneau; Laurent Risser; Viviane Feillel; Olivier Caselles (IEEE Trans. Medical Imaging, 2014)

Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. - Russell Bates; Laurent Risser; Benjamin Irving; Bartlomiej W. Papiez; Pavitra Kannan; Veerle Kersemans; Julia A. Schnabel (MICCAI (3), 2015)

Anisotropic Diffusion in ITK. - Jean-Marie Mirebeau; Jérôme Fehrenbach; Laurent Risser; Shaza Tobji (CoRR, 2015)

Mathematical models and numerical methods for the analysis of medical images and complex data. (Modèles Mathématiques et Méthodes Numériques pour l'Analyse d'Images Médicales et de Données Complexes). - Laurent Risser (2018)

Regularized multi-label fast marching and application to whole-body image segmentation. - Laurent Risser; Soléakhéna Ken; Sandra Lebreton; Éloïse Grossiord; Salim Kanoun; François Malgouyres (ISBI, 2018)

Stochastic Fista Algorithms: So Fast ? - Gersende Fort; Laurent Risser; Yves F. Atchadé; Eric Moulines (SSP, 2018)

Online Barycenter Estimation of Large Weighted Graphs. - Ioana Gavra; Laurent Risser (CoRR, 2018)

COREclust: a new package for a robust and scalable analysis of complex data. - Camille Champion; Anne-Claire Brunet; Jean-Michel Loubes; Laurent Risser (CoRR, 2018)

Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. - François Bachoc; Fabrice Gamboa; Jean-Michel Loubes; Laurent Risser (CoRR, 2018)

How to Calculate the Barycenter of a Weighted Graph. - Sébastien Gadat; Ioana Gavra; Laurent Risser (Math. Oper. Res., 2018)

A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. - Thais Roque; Laurent Risser; Veerle Kersemans; Sean Smart; Danny Allen; Paul Kinchesh; Stuart Gilchrist; Ana L. Gomes; Julia A. Schnabel; Michael A. Chappell (IEEE Trans. Medical Imaging, 2018)

Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. - Laurent Risser; Quentin Vincenot; Nicolas P. Couellan; Jean-Michel Loubes (CoRR, 2019)

Learning Optimal Shape Representations for Multi-Modal Image Registration. - Éloïse Grossiord; Laurent Risser; Salim Kanoun; Soléakhéna Ken; François Malgouyres (ISBI, 2020)

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. - Philippe C. Besse; Eustasio del Barrio; Paula Gordaliza; Jean-Michel Loubes; Laurent Risser (CoRR, 2020)

Robust spectral clustering using LASSO regularization. - Camille Champion; Mélanie Blazère; Rémy Burcelin; Jean-Michel Loubes; Laurent Risser (CoRR, 2020)

Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters. - Camille Champion; Anne-Claire Brunet; Rémy Burcelin; Jean-Michel Loubes; Laurent Risser (Algorithms, 2021)

Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. - Romain Thoreau; Véronique Achard; Laurent Risser; Béatrice Berthelot; Xavier Briottet (WHISPERS, 2022)

A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis. - Laurent Risser; Agustin Martin Picard; Lucas Hervier; Jean-Michel Loubes (CoRR, 2022)

p3VAE: a physics-integrated generative model. Application to the semantic segmentation of optical remote sensing images. - Romain Thoreau; Laurent Risser; Véronique Achard; Béatrice Berthelot; Xavier Briottet (CoRR, 2022)

Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. - Laurent Risser; Alberto González-Sanz; Quentin Vincenot; Jean-Michel Loubes (J. Math. Imaging Vis., 2022)

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. - Fanny Jourdan; Agustin Martin Picard; Thomas Fel; Laurent Risser; Jean-Michel Loubes; Nicholas Asher (ACL (Findings), 2023)

Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? - Fanny Jourdan; Titon Tshiongo Kaninku; Nicholas Asher; Jean-Michel Loubes; Laurent Risser (EWAF, 2023)

Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? - Fanny Jourdan; Ronan Pons; Nicholas Asher; Jean-Michel Loubes; Laurent Risser (EWAF, 2023)

Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. - Laurent Risser; Agustin Martin Picard; Lucas Hervier; Jean-Michel Loubes (Algorithms, 2023)

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. - Fanny Jourdan; Agustin Martin Picard; Thomas Fel; Laurent Risser; Jean-Michel Loubes; Nicholas Asher (CoRR, 2023)

Are fairness metric scores enough to assess discrimination biases in machine learning? - Fanny Jourdan; Laurent Risser; Jean-Michel Loubes; Nicholas Asher (CoRR, 2023)

Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques. - Romain Thoreau; Laurent Risser; Véronique Achard; Béatrice Berthelot; Xavier Briottet (CoRR, 2023)

TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. - Fanny Jourdan; Louis Béthune; Agustin Picard; Laurent Risser; Nicholas Asher (CoRR, 2023)

Integrating Unordered Time Frames in Neural Networks: Application to the Detection of Natural Oil Slicks in Satellite Images. - Antoine Scardigli; Laurent Risser; Chihab Haddouche; Romain Jatiault (IEEE Trans. Geosci. Remote. Sens., 2023)

How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. - Fanny Jourdan; Titon Tshiongo Kaninku; Nicholas Asher; Jean-Michel Loubes; Laurent Risser (Algorithms, 2023)

Debiasing Machine Learning Models by Using Weakly Supervised Learning. - Renan D. B. Brotto; Jean-Michel Loubes; Laurent Risser; Jean-Pierre Florens; Kenji Nose Filho; João M. T. Romano (CoRR, 2024)

Transport-based Counterfactual Models. - Lucas de Lara; Alberto González-Sanz; Nicholas Asher; Laurent Risser; Jean-Michel Loubes (J. Mach. Learn. Res., 2024)

IMITATE: Image Registration with Context for Unknown Time Frame Recovery. - Ziad Kheil; Lucas Robinet; Laurent Risser; Soléakhéna Ken (ISBI, 2025)

Biomechanical Constraints Assimilation in Deep-Learning Image Registration: Application to sliding and locally rigid deformations. - Ziad Kheil; Soléakhéna Ken; Laurent Risser (CoRR, 2025)

Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone. - Veronika Shilova; Emmanuel Malherbe; Giovanni Palma; Laurent Risser; Jean-Michel Loubes (CoRR, 2025)

Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks. - Valentin Lafargue; Adriana Laurindo Monteiro; Emmanuelle Claeys; Laurent Risser; Jean-Michel Loubes (CoRR, 2025)

Physics-informed variational autoencoders for improved robustness to environmental factors of variation. - Romain Thoreau; Laurent Risser; Véronique Achard; Béatrice Berthelot; Xavier Briottet (Mach. Learn., 2025)