Ayman El-Baz — accepted AI-conference papers

2025

A CT-based Prediction System for Determining Respiratory Support Level in COVID-19 Patients

Ahmed Sharafeldeen, Hossam Magdy Balaha, Ibrahim Shawky Farahat, Mohammed Ghazal, James Connelly, Eric Van Bogaert +1

ICASSP 2025accepted

A novel diagnostic system is introduced for assessing the required level of respiratory support for COVID-19 patients. It bases its assessments on the correlation between detected COVID-19 lesions and the respiratory support levels administered to the patients. The correlation with computed tomograp…

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2025

Enhanced Breast Cancer Molecular Biomarker Classification: A Novel Two-Stage Machine Learning Pipeline for Accurate Histological Analysis of Whole Slide Images

Ahmed Aboudessouki, Kh. M. Ali, Ahmed Alksas, Mohamed El-Sharkawy, M. ABO Rahma, M. Ghazal +4

ICASSP 2025accepted

Breast cancer, a prevalent and diverse form of cancer, is characterized by unique clinicopathologic features. Accurate classification of its molecular subtype, essential for targeted treatment and improved survival rates, relies on testing molecular biomarkers such as estrogen receptor (ER), progest…

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2025

SABiT-MNet: Scale-Adaptive Autoencoder with BiT-M Model for Identifying AMD Grades

Niveen Nasr El-Den, Mohamed Elsharkawy, Mohammed Ghazal, Ali Mahmoud, Harpal Sandhu, Hani Mahdi +1

ICASSP 2025accepted

Accurate early diagnosis is crucial in addressing Age-related Macular Degeneration (AMD), a chronic retinal disease that is a leading cause of blindness among the elderly. Medical imaging, particularly fundus imaging, is essential in facilitating timely detection and intervention. Due to the variabi…

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