Laurent Risser

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 28

Top Topics

Automatic Segmentation

Deformable Image Registration

Bilateral Filtering

Top Venues

Publications

Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser, Jean-Pierre Florens, Kenji Nose Filho, João M. T. Romano
Debiasing Machine Learning Models by Using Weakly Supervised Learning. CoRR (2024)
Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. Algorithms 16 (3) (2023)
Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
Are fairness metric scores enough to assess discrimination biases in machine learning? CoRR (2023)
Fanny Jourdan, Agustin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) (2023)
Antoine Scardigli, Laurent Risser, Chihab Haddouche, Romain Jatiault
Integrating Unordered Time Frames in Neural Networks: Application to the Detection of Natural Oil Slicks in Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms 16 (11) (2023)
Fanny Jourdan, Louis Béthune, Agustin Picard, Laurent Risser, Nicholas Asher
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. CoRR (2023)
Fanny Jourdan, Agustin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR (2023)
Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF (2023)
Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? CoRR (2023)
Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF (2023)
Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques. CoRR (2023)
Romain Thoreau, Véronique Achard, Laurent Risser, Béatrice Berthelot, Xavier Briottet
Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. WHISPERS (2022)
Romain Thoreau, Laurent Risser, Véronique Achard, Béatrice Berthelot, Xavier Briottet
VAE: a physics-integrated generative model. Application to the semantic segmentation of optical remote sensing images. CoRR (2022)
Laurent Risser, Agustin Picard, Lucas Hervier, Jean-Michel Loubes
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis. CoRR (2022)
Laurent Risser, Alberto González-Sanz, Quentin Vincenot, Jean-Michel Loubes
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. J. Math. Imaging Vis. 64 (6) (2022)
Camille Champion, Anne-Claire Brunet, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser
Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters. Algorithms 14 (2) (2021)
Éloïse Grossiord, Laurent Risser, Salim Kanoun, Soléakhéna Ken, François Malgouyres
Learning Optimal Shape Representations for Multi-Modal Image Registration. ISBI (2020)
Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. CoRR (2020)
Camille Champion, Mélanie Blazère, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser
Robust spectral clustering using LASSO regularization. CoRR (2020)
Laurent Risser, Quentin Vincenot, Nicolas P. Couellan, Jean-Michel Loubes
Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. CoRR (2019)
Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes, Laurent Risser
COREclust: a new package for a robust and scalable analysis of complex data. CoRR (2018)
Laurent Risser, Soléakhéna Ken, Sandra Lebreton, Éloïse Grossiord, Salim Kanoun, François Malgouyres
Regularized multi-label fast marching and application to whole-body image segmentation. ISBI (2018)
Thais Roque, Laurent Risser, Veerle Kersemans, Sean Smart, Danny Allen, Paul Kinchesh, Stuart Gilchrist, Ana L. Gomes, Julia A. Schnabel, Michael A. Chappell
A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth. IEEE Trans. Medical Imaging 37 (3) (2018)
François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. CoRR (2018)
Ioana Gavra, Laurent Risser
Online Barycenter Estimation of Large Weighted Graphs. CoRR (2018)
Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines
Stochastic Fista Algorithms: So Fast ? SSP (2018)
Sébastien Gadat, Ioana Gavra, Laurent Risser
How to Calculate the Barycenter of a Weighted Graph. Math. Oper. Res. 43 (4) (2018)
Jean-Marie Mirebeau, Jérôme Fehrenbach, Laurent Risser, Shaza Tobji
Anisotropic Diffusion in ITK. CoRR (2015)
Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. MICCAI (3) (2015)
Laurent Risser, Lionel Dolius, Caroline Fonta, Muriel Mescam
Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains. EMBC (2014)
Sophie Ribes, David Didierlaurent, Nicolas Decoster, Eric Gonneau, Laurent Risser, Viviane Feillel, Olivier Caselles
Automatic Segmentation of Breast MR Images Through a Markov Random Field Statistical Model. IEEE Trans. Medical Imaging 33 (10) (2014)
François-Xavier Vialard, Laurent Risser
Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework. MICCAI (1) (2014)
Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. 18 (8) (2014)
Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel
Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. Abdominal Imaging (2013)
Laurent Risser, François-Xavier Vialard, Habib Y. Baluwala, Julia A. Schnabel
Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions. Medical Image Anal. 17 (2) (2013)
Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel
Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. MICCAI (3) (2013)
Tanya Schmah, Laurent Risser, François-Xavier Vialard
Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation. MICCAI (1) (2013)
Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel
Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images. IEEE Trans. Medical Imaging 32 (9) (2013)
François-Xavier Vialard, Laurent Risser, Daniel Rueckert, Colin J. Cotter
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation. Int. J. Comput. Vis. 97 (2) (2012)
Romain Guibert, Caroline Fonta, Laurent Risser, Franck Plouraboué
Coupling and robustness of intra-cortical vascular territories. NeuroImage 62 (1) (2012)
Amalia Cifor, Laurent Risser, Daniel Chung, Ewan M. Anderson, Julia A. Schnabel
Hybrid feature-based Log-Demons registration for tumour tracking in 2-D liver ultrasound images. ISBI (2012)
Laurent Risser, Mattias P. Heinrich, Tahreema N. Matin, Julia A. Schnabel
Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. ISBI (2012)
Jean-Baptiste Fiot, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis. STIA (2012)
Martins Bruveris, Laurent Risser, François-Xavier Vialard
Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups. Multiscale Model. Simul. 10 (4) (2012)
Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu
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. 65 (3) (2011)
Laurent Risser, François-Xavier Vialard, Robin Wolz, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping. IEEE Trans. Medical Imaging 30 (10) (2011)
Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson
Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. MICCAI (1) (2011)
François-Xavier Vialard, Laurent Risser, Darryl D. Holm, Daniel Rueckert
Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images. MIUA (2011)
Dong Ping Zhang, Laurent Risser, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search. ISBI (2010)
Thomas Vincent, Laurent Risser, Philippe Ciuciu
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series. IEEE Trans. Medical Imaging 29 (4) (2010)
Laurent Risser, François-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. MICCAI (2) (2010)
Dong Ping Zhang, Laurent Risser, Ola Friman, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA. WBIR (2010)
Dong Ping Zhang, Laurent Risser, François-Xavier Vialard, Philip J. Edwards, Coert Metz, Lisan Neefjes, Nico Mollet, Wiro J. Niessen, Daniel Rueckert
Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration. MIAR (2010)
Laurent Risser, François-Xavier Vialard, Maria Murgasova, Darryl D. Holm, Daniel Rueckert
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies. WBIR (2010)
Laurent Risser, Jérôme Idier, Philippe Ciuciu, Thomas Vincent
Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis. ICIP (2009)
Anne-Laure Fouque, Philippe Ciuciu, Laurent Risser
Multivariate Spatial Gaussian Mixture Modeling for statistical clustering of hemodynamic parameters in functional MRI. ICASSP (2009)
Laurent Risser, Thomas Vincent, Philippe Ciuciu, Jérôme Idier
Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis. MICCAI (1) (2009)
Laurent Risser, Franck Plouraboué, Xavier Descombes
Gap Filling of 3-D Microvascular Networks by Tensor Voting. IEEE Trans. Medical Imaging 27 (5) (2008)
Laurent Risser, Franck Plouraboué, Xavier Descombes
Gap filling in 3D vessel like patterns with tensor fields - application to high resolution computed tomography images of vessel networks. VISAPP (1) (2007)