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07/12/2023
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encod...
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11/14/2022
Contrastive learning for regression in multi-site brain age prediction
Building accurate Deep Learning (DL) models for brain age prediction is ...
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06/03/2022
Rethinking Positive Sampling for Contrastive Learning with Kernel
Data augmentation is a crucial component in unsupervised contrastive lea...
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11/10/2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Contrastive Learning has shown impressive results on natural and medical...
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07/05/2021
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
Subtype Discovery consists in finding interpretable and consistent sub-p...
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06/16/2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
Traditional supervised learning with deep neural networks requires a tre...
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06/02/2021
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
Deep Learning (DL) and specifically CNN models have become a de facto me...
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09/06/2016
Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty
Principal component analysis (PCA) is an exploratory tool widely used in...
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05/31/2016
Iterative Smoothing Proximal Gradient for Regression with Structured Sparsity
In the context high-dimensionnal predictive models, we consider the prob...
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07/21/2014
