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
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images (Yu et al.)
(paper)Generative Models
Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders (Zheng et al.)
(paper)Generative Models
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning (Chen 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.)

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