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Journal of Imaging Informatics in Medicine|July 16, 2026
Multiparametric PET/CT Tensor Radiomics for Stability-Aware Machine Learning in Lung Cancer Survival PredictionMonica Luo, Sara Harsini, Arman Rahmim, et al.
Computer Methods and Programs in Biomedicine|May 20, 2021
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Arman Rahmim
Computer Methods and Programs in Biomedicine|July 20, 2023
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancerMohammad R Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, et al.
Diagnostics (Basel, Switzerland)|May 27, 2023
Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion TechniquesMohammad R Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh, et al.
Quantitative Imaging in Medicine and Surgery|February 3, 2022
Longitudinal clustering analysis and prediction of Parkinson's disease progression using radiomics and hybrid machine learningMohammad R Salmanpour, Mojtaba Shamsaei, Ghasem Hajianfar, et al.
Journal of Biomedical Informatics|April 17, 2026
Towards interpretable AI in personalized medicine through a radiological-biological radiomics dictionary linking semantic Lung-RADS and imaging radiomics featuresAli Fathi Jouzdani, Shahram Taeb, Mehdi Maghsudi, et al.
Computers in Biology and Medicine|December 1, 2020
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learningMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
Diagnostics (Basel, Switzerland)|May 27, 2023
Prediction of Cognitive Decline in Parkinson's Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning SystemsMahdi Hosseinzadeh, Arman Gorji, Ali Fathi Jouzdani, et al.
Computers in Biology and Medicine|July 9, 2019
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|January 10, 2020
Machine learning methods for optimal prediction of motor outcome in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
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