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Multivariate Wasserstein Functional Connectivity for Autism Screening
Most approaches to the estimation of brain functional connectivity from the functional magnetic resonance imaging (fMRI) data rely on computing some measure of statistical dependence, or more generally, a distance between univariate representative time series of regions of interest (ROIs) consisting of multiple voxels.
Data Augmentation with Manifold Barycenters
Oftentimes, these methods either fail to produce enough new data or expand the dataset beyond the original knowledge domain.
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