Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis-Reference-Cited by-同舟云学术

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Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis

Published:2022 Issue: Volume:31 Page:4011-4022
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Karakasis Paris A.¹^ORCID,Liavas Athanasios P.¹^ORCID,Sidiropoulos Nicholas D.²^ORCID,Simos Panagiotis G.³^ORCID,Papadaki Efrosini³^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Technical University of Crete, Chania, Crete, Greece

2. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA

3. School of Medicine, University of Crete, Giofirakia, Crete, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

https://ieeexplore.ieee.org/ielam/83/9626658/9778969-aam.pdf

Reference44 articles.

1. A Novel fMRI Representation Learning Framework with GAN

2. Simultaneous spatial-temporal decomposition for connectome-scale brain networks by deep sparse recurrent auto-encoder

3. Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework

4. CCA for joint blind source separation of multiple datasets with application to group FMRI analysis

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