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Rasheed Omobolaji Alabi
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2020 – today
- 2024
- [j6]Rasheed Omobolaji Alabi, Mohammed S. Elmusrati, Ilmo Leivo, Alhadi Almangush, Antti A. Mäkitie:
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects. Int. J. Medical Informatics 188: 105464 (2024) - 2023
- [j5]Rasheed Omobolaji Alabi, Anni Sjöblom, Timo Carpén
, Mohammed S. Elmusrati, Ilmo Leivo, Alhadi Almangush, Antti A. Mäkitie:
Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL. Int. J. Medical Informatics 175: 105064 (2023) - 2022
- [j4]Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed S. Elmusrati
An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer. Int. J. Medical Informatics 168: 104896 (2022) - 2021
- [j3]Rasheed Omobolaji Alabi, Omar Youssef
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future - A systematic review. Artif. Intell. Medicine 115: 102060 (2021) - [j2]Rasheed Omobolaji Alabi, Antti A. Mäkitie, Matti Pirinen
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer. Int. J. Medical Informatics 145: 104313 (2021) - 2020
- [j1]Rasheed Omobolaji Alabi, Mohammed Elmusrati
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. Int. J. Medical Informatics 136: 104068 (2020) - [c1]Rasheed Omobolaji Alabi, Tero Vartiainen, Mohammed Elmusrati:
Machine Learning for Prognosis of Oral Cancer: What Are the Ethical Challenges? Tethics 2020: 1-22
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