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Neural Networks : the Official Journal of the International Neural Network Society|December 28, 2022
Proposed algorithm for smart grid DDoS detection based on deep learningSayawu Yakubu Diaba, Mohammed Elmusrati
Frontiers in Oral Health|January 28, 2022
Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision MedicineRasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
International Journal of Environmental Research and Public Health|July 27, 2022
Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer PrognosticationRasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
International Journal of Medical Informatics|October 24, 2022
An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancerRasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
Scientific Reports|June 2, 2023
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAPRasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
Acta Oto-Laryngologica|February 16, 2023
Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planningRasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
Acta Oto-Laryngologica|January 5, 2026
Machine learning for predicting overall survival in early-stage supraglottic cancer: a SEER-based population studyRasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
International Journal of Medical Informatics|May 10, 2024
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future ProspectsRasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
Acta Oto-Laryngologica|December 31, 2024
Collaborative machine learning-guided overall survival prediction of oral squamous cell carcinomaRasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
Acta Oto-Laryngologica|January 27, 2024
Interpretable machine learning model for prediction of overall survival in laryngeal cancerRasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
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