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08/18/2023
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI
The application of deep learning models to large-scale data sets require...
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09/12/2022
Reproducibility in machine learning for medical imaging
Reproducibility is a cornerstone of science, as the replication of findi...
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04/14/2022
Interpretability of Machine Learning Methods Applied to Neuroimaging
Deep learning methods have become very popular for the processing of nat...
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04/30/2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
In this paper, we propose a new method to perform data augmentation in a...
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11/19/2019
Visualization approach to assess the robustness of neural networks for medical image classification
The use of neural networks for diagnosis classification is becoming more...
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04/16/2019