BMA-Net: A Bilateral Attention Network with Retinal Domain Transfer-Learning for CIMT-Based Cardiovascular Risk Classification from Fundus Images.
- DOI
- 10.3390/bioengineering13101168
- Published
- 2026 Oct 8
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13101168,
title = {BMA-Net: A Bilateral Attention Network with Retinal Domain Transfer-Learning for CIMT-Based Cardiovascular Risk Classification from Fundus Images.},
author = {Lyu M and Banerjee A},
year = {2026},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering13101168},
url = {https://doi.org/10.3390/bioengineering13101168}
}RIS
TY - JOUR TI - BMA-Net: A Bilateral Attention Network with Retinal Domain Transfer-Learning for CIMT-Based Cardiovascular Risk Classification from Fundus Images. AU - Lyu M AU - Banerjee A PY - 2026 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering13101168 UR - https://doi.org/10.3390/bioengineering13101168 ER -
APA
M, L., & A, B. (2026). BMA-Net: A Bilateral Attention Network with Retinal Domain Transfer-Learning for CIMT-Based Cardiovascular Risk Classification from Fundus Images.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13101168
Source records
- pubmed · retrieved 2026-11-10T10:11:28.840Z