Mohammad Hossein Nowroozzadeh

Attcatvgg-Net: an Explainable Multioutput Deep Learning Framework for Cataract Stage Classification and Visual Acuity Regression using Multicolor Fundus Images

This paper develops AttCatVgg-Net, a deep learning model that classifies cataract stages and predicts visual acuity using multicolor fundus images, achieving high accuracy and strong correlation with actual VA.

RPEGENE-Net: A Multi-Resolution Deep Learning Framework for Predicting Gene Expression from Microscopy Images of Retinal Pigment Epithelium (RPE) Cells

RPEGENE-Net predicts gene expression from RPE cell microscopy images using multi-resolution deep learning, achieving high correlation with actual expression values.