Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network

Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network

Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substantial proportion of noise from multiple sources influences the reliability and reproducibility of fMRI data analysis and limits its clinical applications. Extensive effort has been devoted to improving f...

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Bibliographic Details
Main Authors: Zhengshi Yang, Xiaowei Zhuang, Karthik Sreenivasan, Virendra Mishra, Dietmar Cordes
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:NeuroImage
Subjects:
Deep learning
Deep neural network
Artificial intelligence
fMRI denoising
Alzheimer's disease
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920308260

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http://www.sciencedirect.com/science/article/pii/S1053811920308260

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