Treatment planning methods for clinical electroporation. - Radwan Qasrawi (2017)

Machine Learning-based Approach for Stroke Classification using Electroencephalogram (EEG) Signals. - Aktham Sawan; Mohammed Awad; Radwan Qasrawi (BIODEVICES, 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; et al. (F1000Research, 2022)

Classification of Stroke Using Machine Learning Techniques: Review Study. - Aktham Sawan; Mohammed Awad; Radwan Qasrawi (ICCAD, 2023)

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., 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, 2024)