pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

[npj Digital Medicine] "Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling" by Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah H Van Tassel, Kyle Kovacs, Emily Y Chew, Zhiyong Lu, Zhangyang Wang, & Yifan Peng

Code for the paper "OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing"

Eye Disease Diagnosis

Diabetic Retinopathy Detection using Twin support vector machine

FFA Synthesis from CFP （ACM MM 2024 Workshop）

Segmentation of blood vessels in fundus photography images

Unsupervised Image-to-Image Translation by Matching the Characteristics of Images

Diabethic Retinopathy and Macular Degeration Detection with CNNs

Code and Datasets for the paper "Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM", published on KDD 2022.

Diabetic Retinopathy Detection project code

A multilabel classification method using ensembled vision transformers for single-eye images trained on the ODIR-2019 challenge dataset.

Features of Countours- OpenCV

Datasets for the paper "DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge", published on Patterns 2022.

Classification of Retinal Fundus Images for Diabetic Retinopathy using Deep Learning