EEG-Based Graph Neural Network Classification of Alzheimer's Disease: An Empirical Evaluation of Functional Connectivity Methods.
- DOI
- 10.1109/tnsre.2022.3204913
- Published
- 2022
- Container
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnsre.2022.3204913,
title = {EEG-Based Graph Neural Network Classification of Alzheimer's Disease: An Empirical Evaluation of Functional Connectivity Methods.},
author = {Klepl D and He F and Wu M and Blackburn DJ and Sarrigiannis P},
year = {2022},
journal = {IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society},
doi = {10.1109/tnsre.2022.3204913},
url = {https://doi.org/10.1109/tnsre.2022.3204913}
}RIS
TY - JOUR TI - EEG-Based Graph Neural Network Classification of Alzheimer's Disease: An Empirical Evaluation of Functional Connectivity Methods. AU - Klepl D AU - He F AU - Wu M AU - Blackburn DJ AU - Sarrigiannis P PY - 2022 JO - IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society DO - 10.1109/tnsre.2022.3204913 UR - https://doi.org/10.1109/tnsre.2022.3204913 ER -
APA
D, K., F, H., M, W., DJ, B., & P, S. (2022). EEG-Based Graph Neural Network Classification of Alzheimer's Disease: An Empirical Evaluation of Functional Connectivity Methods.. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/tnsre.2022.3204913
Source records
- pubmed · retrieved 2026-09-25T14:44:31.531Z