Diabetic Retinopathy Grading by Deep Graph Correlation Network on Retinal Images Without Manual Annotations

Overview of attention for article published in Frontiers in Medicine, April 2022

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Development and validation of an automated machine learning model for the multi-class classification of diabetic retinopathy, central retinal vein occlusion and branch retinal vein occlusion based on color fundus photographs

Article in JFO Open Ophthalmology (September 2024)

Joint DR-DME grading classification using optimal feature selection-based deep graph correlation network

Article in Applied Soft Computing (December 2023)

A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: an ensemble learning approach

Article in Scientific Reports (October 2023)

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