Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
[IEEE Transactions on Medcial Imaging 2025] FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
New project, powerful model
Rufus est un logiciel open source publié sous licence GPLv3 de gestion d'activité en ophtalmologie et en orthoptie, conçu pour s'adapter à toutes les formes d'exercice : individuel, groupe, et travail multisite. Rufus est bâti sur un modèle client-serveur. Le code est compilable sous MacOSX et Linux. Les exécutables sont téléchargeables sur la p…
Open source code for generating interactive, data-driven simulations of vision loss due to eye disease
Official codebase for RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models
Python Visual Field simulation. For latest development, please see zest-multi branch: https://github.com/constructor-s/PyVF/tree/zest-multi. Please contact us for any questions.
Autonomous medical imaging AI research — bring any dataset, the agent runs experiments automatically. Built on karpathy/autoresearch.
Project repository for the eye surgery application
Command-line tool for finding, inspecting, citing, and accessing 350+ ophthalmology datasets from official sources.
A Keras implementation of Multi Label classification in ophthalmology area
Dr Eye: automatic retinopathy detection system
DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease
Official Repository for LEME (LLMs for Ophthalmology and Eye Care)
Official repository of the paper "Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks", published in IEEE Journal of Biomedical and Health Informatics (Jan 2024).
PAROS is a method to calculate the magnification of fundus photographs.
AI for retinal health to classify AMD, assess fundus image quality, and generate synthetic retina images with PyTorch.
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