research
∙
05/05/2022
Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data
Automated disease detection in medical images using deep learning holds ...
share
research
∙
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...
research
∙
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...
research
∙
02/14/2020
