Multi-Task fMRI Data Fusion Using IVA and PARAFAC2-Reference-Cited by-同舟云学术

Multi-Task fMRI Data Fusion Using IVA and PARAFAC2

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Lehmann Isabell¹,Acar Evrim²,Hasija Tanuj¹,Akhonda M.A.B.S.³,Calhoun Vince D.⁴,Schreier Peter J.¹,Adali Tulay³

Affiliation:

1. Paderborn University,Signal and System Theory Group,Germany

2. Simula Metropolitan Center for Digital Engineering,Oslo,Norway

3. University of Maryland,Dept.of CSEE,Baltimore County

4. Emory University,Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech,Atlanta,GA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747662.pdf?arnumber=9747662

Reference31 articles.

1. Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia

2. High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data

3. Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties

4. Tensor Decompositions and Applications

5. PARAFAC2: Mathematical and technical notes;harshman;UCLA Working Papers in Phonetics,1972

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