Code for the paper "nnMobileNet: Rethinking CNN for Retinopathy Research"
[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
Deep learning pipeline for classification of Cataract, Diabetic Retinopathy, Glaucoma and Normal using fundus images
Retinal disease detection using optical coherence tomography (OCT) and deep neural networks.
Advanced Neural Network 2022 (XAI 612) Course Assignment
This repository contains an advanced machine learning solution for heart disease prediction and retinal image analysis.
Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification
This project leverages Convolutional Neural Networks (CNN) to detect Diabetic Retinopathy from retinal images. Diabetic Retinopathy is a severe eye disease that can cause vision loss or blindness in individuals with diabetes.
QD-RetNet: Efficient Retinal Disease Classification via Quantized Knowledge Distillation [MIUA-2025]
Retinal Optical Coherence Tomography Classification using Convolutional Neural Network (CNN)
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