Explainable retinal deep learning for cardiovascular risk stratification: a multiple modality analysis framework with vascular-centric interpretability and robustness.

Sathya K, Magesh G

Open source

DOI
10.1186/s12911-026-03516-y
Published
2026 May 11
Container
BMC medical informatics and decision making
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s12911-026-03516-y,
  title = {Explainable retinal deep learning for cardiovascular risk stratification: a multiple modality analysis framework with vascular-centric interpretability and robustness.},
  author = {Sathya K and Magesh G},
  year = {2026},
  journal = {BMC medical informatics and decision making},
  doi = {10.1186/s12911-026-03516-y},
  url = {https://doi.org/10.1186/s12911-026-03516-y}
}

RIS

TY  - JOUR
TI  - Explainable retinal deep learning for cardiovascular risk stratification: a multiple modality analysis framework with vascular-centric interpretability and robustness.
AU  - Sathya K
AU  - Magesh G
PY  - 2026
JO  - BMC medical informatics and decision making
DO  - 10.1186/s12911-026-03516-y
UR  - https://doi.org/10.1186/s12911-026-03516-y
ER  - 

APA

K, S., & G, M. (2026). Explainable retinal deep learning for cardiovascular risk stratification: a multiple modality analysis framework with vascular-centric interpretability and robustness.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03516-y

Source records