Dynamic coarsened spatio-temporal graph convolutional networks for fMRI classification of addiction-induced sleep disorders
- DOI
- 10.1088/2057-1976/aea7a0
- Published
- 2026-09-28
- Container
- Biomedical Physics & Engineering Express
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/2057-1976/aea7a0,
title = {Dynamic coarsened spatio-temporal graph convolutional networks for fMRI classification of addiction-induced sleep disorders},
author = {Jiaqi Shen and Jiaying Meng and Jiusun Zeng and Bo Ye},
year = {2026},
journal = {Biomedical Physics \& Engineering Express},
doi = {10.1088/2057-1976/aea7a0},
url = {https://doi.org/10.1088/2057-1976/aea7a0}
}RIS
TY - JOUR TI - Dynamic coarsened spatio-temporal graph convolutional networks for fMRI classification of addiction-induced sleep disorders AU - Jiaqi Shen AU - Jiaying Meng AU - Jiusun Zeng AU - Bo Ye PY - 2026 JO - Biomedical Physics & Engineering Express DO - 10.1088/2057-1976/aea7a0 UR - https://doi.org/10.1088/2057-1976/aea7a0 ER -
APA
Shen, J., Meng, J., Zeng, J., & Ye, B. (2026). Dynamic coarsened spatio-temporal graph convolutional networks for fMRI classification of addiction-induced sleep disorders. Biomedical Physics & Engineering Express. https://doi.org/10.1088/2057-1976/aea7a0
Source records
- crossref · retrieved 2026-11-04T06:00:34.512Z