In this database
2
2023 – 2025
DB Citations
0
across indexed articles
h-index
59
OpenAlex (all works)
Total Citations
27,772
OpenAlex (all works)
2 articles in Glaucoma Journal Club
Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population.
A deep learning algorithm effectively detects referable glaucoma from fundus photographs, outperforming clinicians with variable diagnostic accuracy. This tool could improve screening efficiency and access to timely glaucoma care.
Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization.
Vision Transformers improve glaucoma detection from fundus photos, outperforming ResNet-50 in generalizability across diverse datasets. This enhances diagnostic accuracy and explainability in ophthalmic imaging.