74 citations · 75 across the 4 of their papers we have counts for
4 papers
Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham
Matthew Leming, Sudeshna Das, Hyungsoon Im
Automated disease detection in neuroimaging holds promise to improve the diagnostic ability of radiologists, but routinely collected clinical data frequently contains technical and…
Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI
Matthew Leming, Simon Baron-Cohen, John Suckling
In this work, we introduce a technique of deriving symmetric connectivity matrices from regional histograms of grey-matter volume estimated from T1-weighted MRIs. We then validated…
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
Matthew Leming, John Suckling
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding…
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
Matthew Leming, Juan Manuel Górriz, John Suckling
Deep learning models for MRI classification face two recurring problems: they are typically limited by low sample size, and are abstracted by their own complexity (the "black box p…