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

Diabetic Retinopathy Detection using Twin support vector machine

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

Eye Disease Diagnosis

Segmentation of blood vessels in fundus photography images

[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

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.

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

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

FFA Synthesis from CFP （ACM MM 2024 Workshop）

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