Laurent Risser

According to our database1, Laurent Risser authored at least 59 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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
Robust spectral clustering using LASSO regularization.
CoRR, 2020

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set.
CoRR, 2020

Learning Optimal Shape Representations for Multi-Modal Image Registration.
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
A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth.
IEEE Trans. Medical Imaging, 2018

How to Calculate the Barycenter of a Weighted Graph.
Math. Oper. Res., 2018

Entropic Variable Boosting for Explainability and Interpretability in Machine Learning.
CoRR, 2018

COREclust: a new package for a robust and scalable analysis of complex data.
CoRR, 2018

Online Barycenter Estimation of Large Weighted Graphs.
CoRR, 2018

Stochastic Fista Algorithms: So Fast ?
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
Anisotropic Diffusion in ITK.
CoRR, 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
Coupling and robustness of intra-cortical vascular territories.
NeuroImage, 2012

Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups.
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
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series.
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

Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies.
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
Gap Filling of 3-D Microvascular Networks by Tensor Voting.
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


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