Multi-Modal Electrophysiological Source Imaging With Attention Neural Networks Based on Deep Fusion of EEG and MEG-Reference-Cited by-同舟云学术

Multi-Modal Electrophysiological Source Imaging With Attention Neural Networks Based on Deep Fusion of EEG and MEG

Published:2024 Issue: Volume:32 Page:2492-2502
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Jiao Meng¹^ORCID,Yang Shihao¹,Xian Xiaochen²^ORCID,Fotedar Neel³^ORCID,Liu Feng⁴^ORCID

Affiliation:

1. Department of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA

2. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA

3. Epilepsy Center, Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA

4. Department of Systems and Enterprises and the Semcer Center for Healthcare Innovation, Stevens Institute of Technology, Hoboken, NJ, USA

Funder

National Institute of Biomedical Imaging and Bioengineering of National Institutes of Health

New Jersey Health Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference65 articles.

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