Edouard Duchesnay

Orcid: 0000-0002-4073-3490

According to our database1, Edouard Duchesnay authored at least 44 papers between 2000 and 2024.

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Bibliography

2024
Separating common from salient patterns with Contrastive Representation Learning.
CoRR, 2024

2023
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics.
Frontiers Neuroinformatics, March, 2023

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.
CoRR, 2023

MixUp Brain-Cortical Augmentations in Self-supervised Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging.
Proceedings of the Italia Intelligenza Artificiale, 2023

Contrastive Learning for Regression in Multi-Site Brain Age Prediction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Integrating Prior Knowledge in Contrastive Learning with Kernel.
Proceedings of the International Conference on Machine Learning, 2023

2022
OpenBHB: a Multi-Site Brain MRI Dataset for Age Prediction and Debiasing.
Dataset, September, 2022

OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing.
NeuroImage, 2022

Rethinking Positive Sampling for Contrastive Learning with Kernel.
CoRR, 2022

2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels.
CoRR, 2021

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification.
CoRR, 2021

Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning.
CoRR, 2021

UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models.
, 2020

2018
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty.
IEEE Trans. Medical Imaging, 2018

Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging.
IEEE Trans. Medical Imaging, 2018

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

2017
Regional study of the genetic influence on the sulcal pits.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013
Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares.
NeuroImage, 2012

Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders.
NeuroImage, 2011

Scikit-learn: Machine Learning in Python.
J. Mach. Learn. Res., 2011

Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2008
Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics.
IEEE Trans. Medical Imaging, 2008

Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation.
NeuroImage, 2008

Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations.
NeuroImage, 2008

Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Classification Based on Cortical Folding Patterns.
IEEE Trans. Medical Imaging, 2007

2006
Inverse retinotopy: Inferring the visual content of images from brain activation patterns.
NeuroImage, 2006

Reading the brain visual system as an inverse problem.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2004
Object-based morphometry of the cerebral cortex.
IEEE Trans. Medical Imaging, 2004

Brain morphometry using 3D moment invariants.
Medical Image Anal., 2004

Population Classification Based on Structural Morphometry of Cortical Sulci.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Cooperative agents society organized as an irregular pyramid: A mammography segmentation application.
Pattern Recognit. Lett., 2003

2001
Agents situés dans l'image et organisés en pyramide irrégulière: Contribution à la segmentation par une approche d'agrégation coopérative et adaptative. (Multi-agent system organized in an irregular Pyramid: Application for image segmentation).
PhD thesis, 2001

An agent-based implementation of irregular pyramid for distributed image segmentation.
Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001

2000
Irregular adaptative pyramid of agents for segmentation to interpretation of image.
Proceedings of the IEEE International Conference on Systems, 2000


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