Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease Using EEG Data.
- DOI
- 10.1109/tnsre.2023.3321634
- Published
- 2023
- 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.2023.3321634,
title = {Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease Using EEG Data.},
author = {Klepl D and He F and Wu M and Blackburn DJ and Sarrigiannis P},
year = {2023},
journal = {IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society},
doi = {10.1109/tnsre.2023.3321634},
url = {https://doi.org/10.1109/tnsre.2023.3321634}
}RIS
TY - JOUR TI - Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease Using EEG Data. AU - Klepl D AU - He F AU - Wu M AU - Blackburn DJ AU - Sarrigiannis P PY - 2023 JO - IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society DO - 10.1109/tnsre.2023.3321634 UR - https://doi.org/10.1109/tnsre.2023.3321634 ER -
APA
D, K., F, H., M, W., DJ, B., & P, S. (2023). Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease Using EEG Data.. 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.2023.3321634
Source records
- pubmed · retrieved 2026-09-25T22:56:40.248Z