Representation learning of resting state fMRI with variational autoencoder-Reference-Cited by-同舟云学术

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Representation learning of resting state fMRI with variational autoencoder

Published:2021-11 Issue: Volume:241 Page:118423
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Kim Jung-Hoon,Zhang Yizhen,Han Kuan,Wen Zheyu,Choi Minkyu,Liu Zhongming

Funder

National Institute of Mental Health

University of Michigan

National Institutes of Health

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference98 articles.

1. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cerebral Cortex,2014

2. The quest for identifiability in human functional connectomes;Amico;Scienti. Rep.,2018

3. Visceral signals shape brain dynamics and cognition;Azzalini;Trends Cognit. Sci.,2019

4. Probabilistic independent component analysis for functional magnetic resonance imaging;Beckmann;IEEE Trans. Med. Imaging,2004

5. Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study;Bianciardi;Magnet. Resonance Imaging,2009

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