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07/21/2023
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space
Data Augmentation (DA) is a technique to increase the quantity and diver...
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10/20/2022
Reproducibility of the Methods in Medical Imaging with Deep Learning
Concerns about the reproducibility of deep learning research are more pr...
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04/22/2021
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation
In the last years, deep learning has dramatically improved the performan...
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12/19/2019
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
When using Convolutional Neural Networks (CNNs) for segmentation of orga...
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10/16/2019
End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation
Kidney tumor segmentation emerges as a new frontier of computer vision i...
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10/11/2019
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks
Glioma is one of the most common types of brain tumors arising in the gl...
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10/29/2016
A general multiblock method for structured variable selection
Regularised canonical correlation analysis was recently extended to more...
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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
