-
A connection between the pattern classification problem and the General Linear Model for statistical inference
A connection between the General Linear Model (GLM) in combination with ...
12/16/2020 ∙ by Juan Manuel Górriz, et al. ∙
13
∙
share
read it
-
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. ∙
0
∙
share
read it
-
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. ∙
0
∙
share
read it
-
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. ∙
0
∙
share
read it
