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09/02/2023
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition
Precisely identifying sulcal features in brain MRI is made challenging b...
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03/30/2021
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
Discriminative analysis in neuroimaging by means of deep/machine learnin...
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12/16/2020
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 ...
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05/16/2020
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...
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02/25/2020
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...
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02/14/2020
