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Constrained Independent Vector Analysis with Reference for Multi-Subject fMRI Analysis
Independent vector analysis (IVA) generalizes ICA to multiple datasets, i. e., to multi-subject data, and in addition to higher-order statistical information in ICA, it leverages the statistical dependence across the datasets as an additional type of statistical diversity.
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning
In this paper, we present a new method that leverages ICA and DL for the identification of directly interpretable patterns to discriminate between the HC and Sz groups.
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images
The results showed that the learning-from-noise strategy produced better output quality than ASLDN trained with relatively high SNR reference.
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