Functional Connectivity Prediction With Deep Learning for Graph Transformation
- DOI
- 10.1109/tnnls.2022.3197337
- Published
- 2024-04
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2022.3197337,
title = {Functional Connectivity Prediction With Deep Learning for Graph Transformation},
author = {Negar Etemadyrad and Yuyang Gao and Qingzhe Li and Xiaojie Guo and Frank Krueger and Qixiang Lin and Deqiang Qiu and Liang Zhao},
year = {2024},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2022.3197337},
url = {https://doi.org/10.1109/tnnls.2022.3197337}
}RIS
TY - JOUR TI - Functional Connectivity Prediction With Deep Learning for Graph Transformation AU - Negar Etemadyrad AU - Yuyang Gao AU - Qingzhe Li AU - Xiaojie Guo AU - Frank Krueger AU - Qixiang Lin AU - Deqiang Qiu AU - Liang Zhao PY - 2024 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2022.3197337 UR - https://doi.org/10.1109/tnnls.2022.3197337 ER -
APA
Etemadyrad, N., Gao, Y., Li, Q., Guo, X., Krueger, F., Lin, Q., Qiu, D., & Zhao, L. (2024). Functional Connectivity Prediction With Deep Learning for Graph Transformation. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2022.3197337
Source records
- crossref · retrieved 2026-11-10T11:26:09.601Z