Laurent Risser
Orcid: 0000-0003-2207-6615
According to our database1,
Laurent Risser
authored at least 61 papers
between 2007 and 2024.
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Bibliography
2024
2023
How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations.
Algorithms, March, 2023
Integrating Unordered Time Frames in Neural Networks: Application to the Detection of Natural Oil Slicks in Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2023
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability.
CoRR, 2023
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques.
CoRR, 2023
Are fairness metric scores enough to assess discrimination biases in machine learning?
CoRR, 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks.
CoRR, 2023
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning.
Algorithms, 2023
Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning?
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization.
J. Math. Imaging Vis., 2022
p<sup>3</sup>VAE: a physics-integrated generative model. Application to the semantic segmentation of optical remote sensing images.
CoRR, 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis.
CoRR, 2022
Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022
2021
Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters.
Algorithms, 2021
2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set.
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers.
CoRR, 2019
2018
IEEE Trans. Medical Imaging, 2018
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning.
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Regularized multi-label fast marching and application to whole-body image segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
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).
, 2018
2015
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2014
Automatic Segmentation of Breast MR Images Through a Markov Random Field Statistical Model.
IEEE Trans. Medical Imaging, 2014
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration.
Medical Image Anal., 2014
Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images.
IEEE Trans. Medical Imaging, September, 2013
Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions.
Medical Image Anal., 2013
Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
2012
Multiscale Model. Simul., 2012
Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation.
Int. J. Comput. Vis., 2012
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Hybrid feature-based Log-Demons registration for tumour tracking in 2-D liver ultrasound images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
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.
J. Signal Process. Syst., 2011
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping.
IEEE Trans. Medical Imaging, 2011
Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images.
Proceedings of the Medical Image Understanding and Analysis, 2011
Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
IEEE Trans. Medical Imaging, 2010
Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis.
Proceedings of the International Conference on Image Processing, 2009
Multivariate Spatial Gaussian Mixture Modeling for statistical clustering of hemodynamic parameters in functional MRI.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
IEEE Trans. Medical Imaging, 2008
2007
Gap filling in 3D vessel like patterns with tensor fields - application to high resolution computed tomography images of vessel networks.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007