1 code implementation • 5 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.
no code implementations • 16 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.
no code implementations • 25 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.
1 code implementation • 14 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.