Radwan Qasrawi

According to our database, Radwan Qasrawi authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Advancing Breast Cancer Lesion Analysis in Real-Time Sonography Through Multi-Layer Transfer Learning and Adaptive Tracking.

Suliman Thwib, Radwan Qasrawi, Ghada Issa, Razan AbuGhoush, Hussein AlMasri, Marah Qawasmi

Mach. Learn. Knowl. Extr., 2026

2025

Optimized Hounsfield Units Transformation for Explainable Temporal Stage-Specific Ischemic Stroke Classification in CT Imaging.

Radwan Qasrawi, Suliman Thwib, Ghada Issa, Ibrahem Qdaih, Razan Abu Ghoush, Hamza Arjah

J. Imaging, 2025

Assessing the impact of digital health literacy on health management practices in Arab Middle Eastern and North African countries: insights from predictive modeling.

Radwan Qasrawi, Haleama Al-Sabbah, Ghada Issa, Suliman Thwib, Malak Amro, Siham Atari, Reema Tayyem, Khlood Bookari, Noor Alawadhi, Sabika Allehdan, Hana Trigui, Elie Sokhn, Yousef S. Khader, Eman Badran, Iman Kamel, Atiyeh Abdallah, Mohamed Jemaà, Emmanuel Musa, Jude Dzevela Kong

Frontiers Digit. Health, 2025

2024

Hybrid Ensemble Deep Learning Model for Advancing Ischemic Brain Stroke Detection and Classification in Clinical Application.

Radwan Qasrawi, Ibrahem Qdaih, Omar Daraghmeh, Suliman Thwib, Stephanny VicunaPolo, Siham Atari, Diala Abu Al-Halawa

J. Imaging, July, 2024

Hybrid deep learning and metaheuristic model based stroke diagnosis system using electroencephalogram (EEG).

Aktham Sawan, Mohammed Awad, Radwan Qasrawi, Mohammad Sowan

Biomed. Signal Process. Control., January, 2024

2023

Classification of Stroke Using Machine Learning Techniques: Review Study.

Aktham Sawan, Mohammed Awad, Radwan Qasrawi

Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022

Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study.

Radwan Qasrawi, Malak Amro, Stephanny VicunaPolo, Diala Abu Al-Halawa, Hazem Agha, Rania Abu Seir, Maha Hoteit, Reem Hoteit, Sabika Allehdan, Nouf Behzad, Khlood Bookari, Majid AlKhalaf, Haleama Al-Sabbah, Eman Badran, Reema Tayyem

F1000Research, 2022

Machine Learning-based Approach for Stroke Classification using Electroencephalogram (EEG) Signals.

Aktham Sawan, Mohammed Awad, Radwan Qasrawi

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2017

Treatment planning methods for clinical electroporation.

Radwan Qasrawi

PhD thesis, 2017