ViResGF-Net: Gated Multi-Scale Hybrid Vision Transformer for Robust Fundus Image Multi-Label Classification.
- DOI
- 10.1109/jbhi.2025.3626864
- Published
- 2026 Sep
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2025.3626864,
title = {ViResGF-Net: Gated Multi-Scale Hybrid Vision Transformer for Robust Fundus Image Multi-Label Classification.},
author = {Chen B and Xiang H and Wan J and Bilal M and Xu X},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2025.3626864},
url = {https://doi.org/10.1109/jbhi.2025.3626864}
}RIS
TY - JOUR TI - ViResGF-Net: Gated Multi-Scale Hybrid Vision Transformer for Robust Fundus Image Multi-Label Classification. AU - Chen B AU - Xiang H AU - Wan J AU - Bilal M AU - Xu X PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2025.3626864 UR - https://doi.org/10.1109/jbhi.2025.3626864 ER -
APA
B, C., H, X., J, W., M, B., & X, X. (2026). ViResGF-Net: Gated Multi-Scale Hybrid Vision Transformer for Robust Fundus Image Multi-Label Classification.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2025.3626864
Source records
- pubmed · retrieved 2026-09-25T15:01:55.642Z