Search Results for author: Matthew Leming

Found 4 papers, 2 papers with code

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

1 code implementation5 May 2022 Matthew Leming, Sudeshna Das, Hyungsoon Im

We also applied a method for quantifying uncertainty across an ensemble of these models to automatically exclude out-of-distribution data in the AD detection.

regression Uncertainty Quantification

Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI

no code implementations16 May 2020 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.

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

no code implementations25 Feb 2020 Matthew Leming, John Suckling

We applied our method to resting-state and task data from the UK BioBank, using two visualization techniques to measure the salience of three brain networks involved in task- and resting-states, and their interaction.

Classification Gender Classification +1

Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks

1 code implementation14 Feb 2020 Matthew Leming, Juan Manuel Górriz, John Suckling

Employing class-balancing to build a training set, we trained 3$\times$300 modified CNNs in an ensemble model to classify fMRI connectivity matrices with overall AUROCs of 0. 6774, 0. 7680, and 0. 9222 for ASD vs TD, gender, and task vs rest, respectively.

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