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Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI
In this work, we introduce a technique of deriving symmetric connectivit...
05/16/2020 ∙ by Matthew Leming, et al. ∙
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Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank
Classification of whole-brain functional connectivity MRI data with conv...
02/25/2020 ∙ by Matthew Leming, et al. ∙
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Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
Deep learning models for MRI classification face two recurring problems:...
02/14/2020 ∙ by Matthew Leming, et al. ∙
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