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Author

H. Rashwan

2 papers indexed here

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Conference Aug 2026

Synthetic Data Augmentation via Class-Conditional Latent Diffusion Models for Fundus Image Quality Assessment

Reliable automated fundus image quality assessment (FIQA) is a critical prerequisite for large-scale diabetic retinopathy (DR) screening, yet clinical datasets typically suffer from severe class imbalance that undermines classifier performance on minority quality grades. We present a comprehensive comparative study of...

N. Sharaf, S. Abdulwahab, Domènec Puig et al. · 0 citations
Conference Aug 2026

Comparative Heatmap Explanations for Deep Learning-Based Breast Density Classification

Breast density is associated with a higher risk of developing breast cancer and complicates mammographic interpretation because dense tissue can obscure suspicious findings. Deep learning (DL) models are increasingly used for automated breast density classification, yet their limited interpretability remains a concern...

Salah Jabreel, H. Rashwan, N. Jebreel et al. · 0 citations

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