Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease. - Mohammad R. Salmanpour; Mojtaba Shamsaei; Abdollah Saberi; Saeed Setayeshi 001; Ivan S. Klyuzhin; Vesna Sossi; Arman Rahmim (Comput. Biol. Medicine, 2019)

Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning. - Mohammad R. Salmanpour; Mojtaba Shamsaei; Abdollah Saberi; Ghasem Hajianfar; Hamid Soltanian-Zadeh; Arman Rahmim (Comput. Biol. Medicine, 2021)

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. - Isaac Shiri; Yazdan Salimi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Shayan Mostafaei; Azadeh Akhavanallaf; Abdollah Saberi; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Comput. Biol. Medicine, 2022)

Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. - Isaac Shiri; Yazdan Salimi; Abdollah Saberi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Azadeh Akhavanallaf; Shayan Mostafaei; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Int. J. Imaging Syst. Technol., 2024)