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)

Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems. - Mehdi Fatan; Mahdi Hosseinzadeh; Dariush Askari; Hossein Sheikhi; Seyed Masoud Rezaeijo; Mohammad R. Salmanpour (HECKTOR@MICCAI, 2021)

Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. - Mohammad R. Salmanpour; Ghasem Hajianfar; Seyed Masoud Rezaeijo; Mohammad Mahdi Ghaemi; Arman Rahmim (HECKTOR@MICCAI, 2021)

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)

Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease. - Mohammad R. Salmanpour; Mojtaba Shamsaei; Arman Rahmim (Comput. Methods Programs Biomed., 2021)

Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. - Mohammad R. Salmanpour; Mahdi Hosseinzadeh; Ensiyeh Modiri; Azizeh Akbari; Ghasem Hajianfar; Dariush Askari; Mehdi Fatan; Mehdi Maghsudi; Hanieh Ghaffari; Seyed Masoud Rezaeijo; Mohammad Mahdi Ghaemi; Arman Rahmim (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. - Mohammad R. Salmanpour; Mahdi Hosseinzadeh; Azizeh Akbari; Kasra Borazjani; Kasra Mojallal; Dariush Askari; Ghasem Hajianfar; Seyed Masoud Rezaeijo; Mohammad Mahdi Ghaemi; Amir Hossein Nabizadeh; Arman Rahmim (Computer-Aided Diagnosis, 2022)

Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques. - Seyed Masoud Rezaeijo; Ali Harimi; Mohammad R. Salmanpour (HECKTOR@MICCAI, 2022)

Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. - Mohammad R. Salmanpour; Ghasem Hajianfar; Mahdi Hosseinzadeh; Seyed Masoud Rezaeijo; Mohammad Mehdi Hosseini; Ehsanhosein Kalatehjari; Ali Harimi; Arman Rahmim (HECKTOR@MICCAI, 2022)

Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. - Arash Javanmardi; Mahdi Hosseinzadeh; Ghasem Hajianfar; Amir Hossein Nabizadeh; Seyed Masoud Rezaeijo; Arman Rahmim; Mohammad R. Salmanpour (Image Processing, 2022)

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. - Arman Rahmim; Amirhosein Toosi; Mohammad R. Salmanpour; Natalia Dubljevic; Ian Janzen; Isaac Shiri; Mohamad A. Ramezani; Ren Yuan; Cheryl Ho; Habib Zaidi; Calum MacAulay; Carlos F. Uribe; et al. (CoRR, 2022)

Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features. - Mohammad R. Salmanpour; Mahdi Hosseinzadeh; Mahya Bakhtiyari; Mehdi Maghsudi; Arman Rahmim (Int. J. Imaging Syst. Technol., 2023)

Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer. - Mohammad R. Salmanpour; Mahdi Hosseinzadeh; Seyed Masoud Rezaeijo; Arman Rahmim (Comput. Methods Programs Biomed., 2023)

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer. - Mohammad R. Salmanpour; Amin Mousavi; Yixi Xu; William B. Weeks; Ilker Hacihaliloglu (ASMUS@MICCAI, 2024)

Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization. - Mohammad R. Salmanpour; Morteza Alizadeh; Ghazal Mousavi; Saba Sadeghi; Sajad Amiri; Mehrdad Oveisi; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. - Mohammad R. Salmanpour; Arman Gorji; Amin Mousavi; Ali Fathi Jouzdani; Nima Sanati; Mehdi Maghsudi; Bonnie Leung; Cheryl Ho; Ren Yuan; Arman Rahmim (CoRR, 2024)

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0. - Mohammad R. Salmanpour; Sajad Amiri; Sara Gharibi; Ahmad Shariftabrizi; Yixi Xu; William B. Weeks; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2024)

Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization. - Mohammad R. Salmanpour; Morteza Alizadeh; Ghazal Mousavi; Saba Sadeghi; Sajad Amiri; Mehrdad Oveisi; Arman Rahmim; Ilker Hacihaliloglu (IEEE Access, 2025)

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer. - Mohammad R. Salmanpour; Amin Mousavi; Yixi Xu; William B. Weeks; Ilker Hacihaliloglu (CoRR, 2025)

An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study. - Sonya Falahati; Morteza Alizadeh; Zhino Safahi; Navid Khaledian; Mohsen Alambardar Meybodi; Mohammad R. Salmanpour (CoRR, 2025)

Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0. - Mohammad R. Salmanpour; Seyed Mohammad Piri; Somayeh Sadat Mehrnia; Ahmad Shariftabrizi; Masume Allahmoradi; Venkata SK. Manem; Arman Rahmim; Ilker Hacihaliloglu (CoRR, 2025)

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning. - Morteza Alizadeh; Mehrdad Oveisi; Sonya Falahati; Ghazal Mousavi; Mohsen Alambardar Meybodi; Somayeh Sadat Mehrnia; Ilker Hacihaliloglu; Arman Rahmim; Mohammad R. Salmanpour (CoRR, 2025)

Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation. - Mohammad R. Salmanpour; Amir Hossein Pouria; Sonia Falahati; Shahram Taeb; Somayeh Sadat Mehrnia; Mehdi Maghsudi; Ali Fathi Jouzdani; Mehrdad Oveisi; Ilker Hacihaliloglu; Arman Rahmim (CoRR, 2025)

Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0. - Arman Gorji; Nima Sanati; Amir Hossein Pouria; Somayeh Sadat Mehrnia; Ilker Hacihaliloglu; Arman Rahmim; Mohammad R. Salmanpour (CoRR, 2025)

Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging. - Mohammad R. Salmanpour; Somayeh Sadat Mehrnia; Sajad Jabarzadeh Ghandilu; Zhino Safahi; Sonya Falahati; Shahram Taeb; Ghazal Mousavi; Mehdi Maghsoudi; Ahmad Shariftabrizi; Ilker Hacihaliloglu; Arman Rahmim (CoRR, 2025)