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Author

Ibrahim Gad

2 papers indexed here

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Aug 2026

An Explainable Computer-Aided Framework for Skin Lesion Classification Using Deep Learning.

The utilization of deep convolutional neural networks for the purpose of diagnosing diseases in the skin area has proven to yield similar accuracy levels to those obtained by dermatologists in different studies. Nevertheless, many challenges are still present, including underperformance and poor generalization in some...

Hasan Hashim, M. Rokaya, Mohammed Farsi et al. · 0 citations
Open access Aug 2026

Improving Autism Diagnosis Across Ages Using Eye-Tracking and Temporal Transformer Models

Variation in gaze behavior due to age is currently a considerable challenge in building reliable eye-tracking systems for Autism Spectrum Disorder (ASD) diagnosis. However, existing strategies often focus on static gaze representation or dataset-based information, which can lead to limited generalization of findings de...

Mohammed A. Alzain, M. Rokaya, D. Hemdan et al. · 0 citations

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