Article

Computing personalized brain functional networks from fMRI using self-supervised deep learning

2021-09-26

Abstract excerpt

<h4>ABSTRACT</h4> A novel self-supervised deep learning (DL) method is developed for computing bias-free, personalized brain functional networks (FNs) that provide unique opportunities to better understand brain function, behavior, and disease. Specifically, convolutional neural networks with an encoder-decoder architecture are employed to compute personalized FNs from resting-state fMRI data without utilizing an...

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Literature Corpus work: 7090bfb5-eda9-5206-a1d8-30821a8a3483
DOI: 10.1101/2021.09.25.461829

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