awesome-ophthalmology

A curated list of awesome AI developments for ophthalmology

GitHub Stars

630

Curated Resources

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me generative models resources from awesome-ophthalmology"

(paper)Generative Models
Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography (Hassan et al.)
(paper)Generative Models
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks (Hernandez-Diaz et al.)
(paper)Generative Models
Forecasting Irreversible Disease via Progression Learning (Wu et al.)
(paper)Generative Models
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks (Li et al.)
(paper)Generative Models
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks (Tahghighi et al.)
(paper)Generative Models
Medical Image Generation using Generative Adversarial Networks (Singh et al.)

Showing a sample of 630 resources. View the full list on GitHub →