Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. - Rasheed Omobolaji Alabi; Mohammed Elmusrati 001; Iris Sawazaki-Calone; Luiz Paulo Kowalski; Caj Haglund; Ricardo D. Coletta; Antti A. Mäkitie; Tuula Salo; Alhadi Almangush; Ilmo Leivo (Int. J. Medical Informatics, 2020)

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future - A systematic review. - Rasheed Omobolaji Alabi; Omar Youssef; Matti Pirinen; Mohammed Elmusrati 001; Antti A. Mäkitie; Ilmo Leivo; Alhadi Almangush (Artif. Intell. Medicine, 2021)

Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer. - Rasheed Omobolaji Alabi; Antti A. Mäkitie; Matti Pirinen; Mohammed Elmusrati 001; Ilmo Leivo; Alhadi Almangush (Int. J. Medical Informatics, 2021)

An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer. - Rasheed Omobolaji Alabi; Alhadi Almangush; Mohammed S. Elmusrati; Ilmo Leivo; Antti A. Mäkitie (Int. J. Medical Informatics, 2022)

Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL. - Rasheed Omobolaji Alabi; Anni Sjöblom; Timo Carpén; Mohammed S. Elmusrati; Ilmo Leivo; Alhadi Almangush; Antti A. Mäkitie (Int. J. Medical Informatics, 2023)

Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects. - Rasheed Omobolaji Alabi; Mohammed S. Elmusrati; Ilmo Leivo; Alhadi Almangush; Antti A. Mäkitie (Int. J. Medical Informatics, 2024)