Laurent Risser

69 papers A 1B 1Misc 1Journal 39Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Biomechanical Constraints Assimilation in Deep-Learning Image Registration: Application to sliding and locally rigid deformations. CoRR Ziad Kheil, Soléakhéna Ken, Laurent Risser
2025	J	`jnl`	Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks. CoRR Valentin Lafargue, Adriana Laurindo Monteiro, Emmanuelle Claeys, Laurent Risser, Jean-Michel Loubes
2025	A	`conf`	Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with Respect to Skin Tone. ECAI Veronika Shilova, Emmanuel Malherbe, Giovanni Palma, Laurent Risser, Jean-Michel Loubes
2025	J	`jnl`	Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone. CoRR Veronika Shilova, Emmanuel Malherbe, Giovanni Palma, Laurent Risser, Jean-Michel Loubes
2025	—	`conf`	IMITATE: Image Registration with Context for Unknown Time Frame Recovery. ISBI Ziad Kheil, Lucas Robinet, Laurent Risser, Soléakhéna Ken
2025	J	`jnl`	IMITATE: Image Registration with Context for unknown time frame recovery. CoRR Ziad Kheil, Lucas Robinet, Laurent Risser, Soléakhéna Ken
2025	J	`jnl`	Physics-informed variational autoencoders for improved robustness to environmental factors of variation. Mach. Learn. Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet
2024	J	`jnl`	Debiasing Machine Learning Models by Using Weakly Supervised Learning. CoRR Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser, Jean-Pierre Florens, Kenji Nose Filho, João M. T. Romano
2024	J	`jnl`	Transport-based Counterfactual Models. J. Mach. Learn. Res. Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Laurent Risser, Jean-Michel Loubes
2023	J	`jnl`	Are fairness metric scores enough to assess discrimination biases in machine learning? CoRR Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
2023	—	`conf`	Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
2023	—	`conf`	COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
2023	J	`jnl`	Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes
2023	J	`jnl`	How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. Algorithms Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? CoRR Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	Integrating Unordered Time Frames in Neural Networks: Application to the Detection of Natural Oil Slicks in Satellite Images. IEEE Trans. Geosci. Remote. Sens. Antoine Scardigli, Laurent Risser, Chihab Haddouche, Romain Jatiault
2023	—	`conf`	Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. CoRR Fanny Jourdan, Louis Béthune, Agustin M. Picard, Laurent Risser, Nicholas Asher
2023	J	`jnl`	Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques. CoRR Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet
2022	J	`jnl`	A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis. CoRR Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes
2022	—	`conf`	Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. WHISPERS Romain Thoreau, Véronique Achard, Laurent Risser, Béatrice Berthelot, Xavier Briottet
2022	J	`jnl`	Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. J. Math. Imaging Vis. Laurent Risser, Alberto González-Sanz, Quentin Vincenot, Jean-Michel Loubes
2022	J	`jnl`	p CoRR Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet
2021	J	`jnl`	Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters. Algorithms Camille Champion, Anne-Claire Brunet, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser
2020	J	`jnl`	A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. CoRR Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser
2020	—	`conf`	Learning Optimal Shape Representations for Multi-Modal Image Registration. ISBI Éloïse Grossiord, Laurent Risser, Salim Kanoun, Soléakhéna Ken, François Malgouyres
2020	J	`jnl`	Robust spectral clustering using LASSO regularization. CoRR Camille Champion, Mélanie Blazère, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser
2019	J	`jnl`	Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. CoRR Laurent Risser, Quentin Vincenot, Nicolas P. Couellan, Jean-Michel Loubes
2018	J	`jnl`	A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. IEEE Trans. Medical Imaging Thais Roque, Laurent Risser, Veerle Kersemans, Sean Smart, Danny Allen, Paul Kinchesh, Stuart Gilchrist, Ana L. Gomes, Julia A. Schnabel, Michael A. Chappell
2018	J	`jnl`	COREclust: a new package for a robust and scalable analysis of complex data. CoRR Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes, Laurent Risser
2018	J	`jnl`	Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. CoRR François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser
2018	J	`jnl`	How to Calculate the Barycenter of a Weighted Graph. Math. Oper. Res. Sébastien Gadat, Ioana Gavra, Laurent Risser
2018	—	`book`	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	J	`jnl`	Online Barycenter Estimation of Large Weighted Graphs. CoRR Ioana Gavra, Laurent Risser
2018	—	`conf`	Regularized multi-label fast marching and application to whole-body image segmentation. ISBI Laurent Risser, Soléakhéna Ken, Sandra Lebreton, Éloïse Grossiord, Salim Kanoun, François Malgouyres
2018	—	`conf`	Stochastic Fista Algorithms: So Fast ? SSP Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines
2015	J	`jnl`	Anisotropic Diffusion in ITK. CoRR Jean-Marie Mirebeau, Jérôme Fehrenbach, Laurent Risser, Shaza Tobji
2015	—	`conf`	Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. MICCAI (3) Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel
2014	J	`jnl`	An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel
2014	J	`jnl`	Automatic Segmentation of Breast MR Images Through a Markov Random Field Statistical Model. IEEE Trans. Medical Imaging Sophie Ribes, David Didierlaurent, Nicolas Decoster, Eric Gonneau, Laurent Risser, Viviane Feillel, Olivier Caselles
2014	—	`conf`	Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains. EMBC Laurent Risser, Lionel Dolius, Caroline Fonta, Muriel Mescam
2014	—	`conf`	Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework. MICCAI (1) François-Xavier Vialard, Laurent Risser
2013	—	`conf`	Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. MICCAI (3) Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel
2013	J	`jnl`	Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images. IEEE Trans. Medical Imaging Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel
2013	—	`conf`	Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation. MICCAI (1) Tanya Schmah, Laurent Risser, François-Xavier Vialard
2013	J	`jnl`	Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions. Medical Image Anal. Laurent Risser, François-Xavier Vialard, Habib Y. Baluwala, Julia A. Schnabel
2013	—	`conf`	Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. Abdominal Imaging Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel
2012	J	`jnl`	Coupling and robustness of intra-cortical vascular territories. NeuroImage Romain Guibert, Caroline Fonta, Laurent Risser, Franck Plouraboué
2012	J	`jnl`	Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation. Int. J. Comput. Vis. François-Xavier Vialard, Laurent Risser, Daniel Rueckert, Colin J. Cotter
2012	—	`conf`	Hybrid feature-based Log-Demons registration for tumour tracking in 2-D liver ultrasound images. ISBI Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel
2012	—	`conf`	Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis. STIA Jean-Baptiste Fiot, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard
2012	J	`jnl`	Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups. Multiscale Model. Simul. Martins Bruveris, Laurent Risser, François-Xavier Vialard
2012	—	`conf`	Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. ISBI Laurent Risser, Mattias P. Heinrich, Tahreema N. Matin, Julia A. Schnabel
2011	—	`conf`	Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images. MIUA François-Xavier Vialard, Laurent Risser, Darryl D. Holm, Daniel Rueckert
2011	J	`jnl`	Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI. J. Signal Process. Syst. Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu
2011	—	`conf`	Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. MICCAI (1) Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson
2011	J	`jnl`	Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. IEEE Trans. Medical Imaging Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
2010	—	`conf`	Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration. MIAR Dong Ping Zhang, Laurent Risser, François-Xavier Vialard, Philip J. Edwards, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010	—	`conf`	Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search. ISBI Dong Ping Zhang, Laurent Risser, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010	—	`conf`	Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies. WBIR Laurent Risser, François-Xavier Vialard, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
2010	—	`conf`	Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA. WBIR Dong Ping Zhang, Laurent Risser, Ola Friman, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
2010	—	`conf`	Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. MICCAI (2) Laurent Risser, François-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert
2010	J	`jnl`	Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series. IEEE Trans. Medical Imaging Thomas Vincent, Laurent Risser, Philippe Ciuciu
2009	B	`conf`	Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis. ICIP Laurent Risser, Jérôme Idier, Philippe Ciuciu, Thomas Vincent
2009	Misc	`conf`	Multivariate Spatial Gaussian Mixture Modeling for statistical clustering of hemodynamic parameters in functional MRI. ICASSP Anne-Laure Fouque, Philippe Ciuciu, Laurent Risser
2009	—	`conf`	Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis. MICCAI (1) Laurent Risser, Thomas Vincent, Philippe Ciuciu, Jérôme Idier
2008	J	`jnl`	Gap Filling of 3-D Microvascular Networks by Tensor Voting. IEEE Trans. Medical Imaging Laurent Risser, Franck Plouraboué, Xavier Descombes
2007	—	`conf`	Gap filling in 3D vessel like patterns with tensor fields - application to high resolution computed tomography images of vessel networks. VISAPP (1) Laurent Risser, Franck Plouraboué, Xavier Descombes