A Multimodality Hybrid Gamma-Optical Camera for Intraoperative Imaging. - John E. Lees; Sarah L. Bugby; Mohammed S. Alqahtani; Layal K. Jambi; Numan S. Dawood; William R. McKnight; Aik H. Ng; Alan C. Perkins (Sensors, 2017)

Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19. - Talal Saleh Qaid; Hussein Mazaar; Mohammad Yahya H. Al-Shamri; Mohammed S. Alqahtani; Abeer A. Raweh; Wafaa Alakwaa (Comput. Intell. Neurosci., 2021)

Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation. - Talal Saleh Qaid; Hussein Mazaar; Mohammed S. Alqahtani; Abeer A. Raweh; Wafaa Alakwaa (PeerJ Comput. Sci., 2021)

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)

Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach. - P. Kavitha; G. Ayyappan; Prabhu Jayagopal; Sandeep Kumar Mathivanan 001; Saurav Mallik; Amal Al-Rasheed; Mohammed S. Alqahtani; Ben Othman Soufiene (BMC Bioinform., 2023)

Multimodal hybrid convolutional neural network based brain tumor grade classification. - A. Rohini; Carol Praveen; Sandeep Kumar Mathivanan 001; V. Muthukumaran; Saurav Mallik; Mohammed S. Alqahtani; Amal Al-Rasheed; Ben Othman Soufiene (BMC Bioinform., 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)

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)

Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. - S. R. Sannasi Chakravarthy; N. Bharanidharan; V. Vinoth Kumar 001; T. R. Mahesh 001; Mohammed S. Alqahtani; Suresh Guluwadi (BMC Medical Imaging, 2024)

Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. - J. Satheesh Kumar; V. Vinoth Kumar 001; T. R. Mahesh 001; Mohammed S. Alqahtani; P. Prabhavathy; K. Manikandan; Suresh Guluwadi (BMC Medical Imaging, 2024)

Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks. - G. S. Pradeep Ghantasala; Kumar Dilip; Vidyullatha Pellakuri; Sarah Allabun; Mohammed S. Alqahtani; Manal Othman; Mohamed Abbas; Ben Othman Soufiene (BMC Medical Informatics Decis. Mak., 2024)