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"

FFA Synthesis from CFP （ACM MM 2024 Workshop）

Eye Disease Diagnosis

Diabetic Retinopathy Detection using Twin support vector machine

Deep learning pipeline for classification of Cataract, Diabetic Retinopathy, Glaucoma and Normal using fundus images

Segmentation of blood vessels in fundus photography images

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.

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

Diabethic Retinopathy and Macular Degeration Detection with CNNs

Diabetic Retinopathy Detection project code

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

Features of Countours- OpenCV

Classification of Retinal Fundus Images for Diabetic Retinopathy using Deep Learning @ ISI Kolkata