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
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation (Andreini et al.)
(paper)Generative Models
Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina (Odaibo et al.)
(paper)Generative Models
Label Refinement with an Iterative Generative Adversarial Network for Boosting Retinal Vessel Segmentation (Yang et al.)
(paper)Generative Models
High-resolution medical image synthesis using progressively grown generative adversarial networks (Beers et al.)
(paper)Generative Models
LOGAN: Membership Inference Attacks Against Generative Models (Hayes et al.)
(paper)Generative Models
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (Schlegl et al.)

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