Mohammad R. Salmanpour

According to our database, Mohammad R. Salmanpour authored at least 25 papers between 2019 and 2025.

Collaborative distances:

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

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, July, 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, July, 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, July, 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, May, 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, May, 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, April, 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, January, 2025

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

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

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

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

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

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

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., October, 2023

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., July, 2023

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, Fereshteh Yousefirizi

CoRR, 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

Proceedings of the Medical Imaging 2022: Image Processing, 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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques.

Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

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

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

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2019

Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease.

Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Saeed Setayeshi, Ivan S. Klyuzhin, Vesna Sossi, Arman Rahmim

Comput. Biol. Medicine, 2019