Antti A. Mäkitie

According to our database, Antti A. Mäkitie authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer.

Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orasmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti A. Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

CoRR, 2024

2023

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, July, 2023

2022

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

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, Ilmo Leivo, Alhadi Almangush

Int. J. Medical Informatics, 2021

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, Antti A. Mäkitie, Ilmo Leivo, Alhadi Almangush

Artif. Intell. Medicine, 2021

2020

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

Rasheed Omobolaji Alabi, Mohammed Elmusrati, 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