Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning. - Hanan Aljuaid; Nazik Alturki; Najah Alsubaie; Lucia Cavallaro; Antonio Liotta (Comput. Methods Programs Biomed., 2022)

Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging. - Amena Mahmoud; Nancy Awadallah Awad; Najah Alsubaie; Syed Immamul Ansarullah; Mohammed S. Alqahtani; Mohamed Abbas; Mohammed Usman; Ben Othman Soufiene; Abeer Saber (Symmetry, 2023)

TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique. - Syed Thouheed Ahmed; Syed Muzamil Basha; Muthukumaran Venkatesan; Sandeep Kumar Mathivanan 001; Saurav Mallik; Najah Alsubaie; Mohammed S. Alqahtani (BMC Medical Imaging, 2023)

Machine learning-based intelligent security framework for secure cloud key management. - Shahnawaz Ahmad; Shabana Mehfuz; Shabana Urooj; Najah Alsubaie (Clust. Comput., 2024)

Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing. - Pritam Chakraborty; Anjan Bandyopadhyay; Preeti Padma Sahu; Aniket Burman; Saurav Mallik; Najah Alsubaie; Mohamed Abbas; Mohammed S. Alqahtani; Ben Othman Soufiene (BMC Bioinform., 2024)

HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression data. - Sajid Naveed; Mujtaba Husnain; Najah Alsubaie (Comput. Methods Programs Biomed., 2025)