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Mohammad R. Salmanpour
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Journal Articles
- 2025
- [j6]Mohammad R. Salmanpour
, Morteza Alizadeh
, Ghazal Mousavi
, Saba Sadeghi
, Sajad Amiri
, Mehrdad Oveisi
, Arman Rahmim
, Ilker Hacihaliloglu
:
Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization. IEEE Access 13: 47217-47229 (2025) - 2023
- [j5]Mohammad R. Salmanpour
, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Arman Rahmim
:
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer. Comput. Methods Programs Biomed. 240: 107714 (2023) - [j4]Mohammad R. Salmanpour
, Mahdi Hosseinzadeh, Mahya Bakhtiyari, Mehdi Maghsudi
, Arman Rahmim:
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features. Int. J. Imaging Syst. Technol. 33(4): 1437-1449 (2023) - 2021
- [j3]Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi
, Ghasem Hajianfar, Hamid Soltanian-Zadeh
, Arman Rahmim
:
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning. Comput. Biol. Medicine 129: 104142 (2021) - [j2]Mohammad R. Salmanpour, Mojtaba Shamsaei, Arman Rahmim
:
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease. Comput. Methods Programs Biomed. 206: 106131 (2021) - 2019
- [j1]Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi
, Saeed Setayeshi
, Ivan S. Klyuzhin, Vesna Sossi, Arman Rahmim
:
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease. Comput. Biol. Medicine 111 (2019)
Conference and Workshop Papers
- 2024
- [c8]Mohammad R. Salmanpour
, Amin Mousavi
, Yixi Xu
, William B. Weeks
, Ilker Hacihaliloglu
:
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer. ASMUS@MICCAI 2024: 24-34 - 2022
- [c7]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:
Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c6]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:
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. Computer-Aided Diagnosis 2022 - [c5]Seyed Masoud Rezaeijo, Ali Harimi, Mohammad R. Salmanpour:
Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques. HECKTOR@MICCAI 2022: 70-76 - [c4]Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim:
Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 230-239 - [c3]Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour:
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. Image Processing 2022 - 2021
- [c2]Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi
, Arman Rahmim:
Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 202-210 - [c1]Mehdi Fatan, Mahdi Hosseinzadeh, Dariush Askari
, Hossein Sheikhi, Seyed Masoud Rezaeijo, Mohammad R. Salmanpour:
Fusion-Based Head and Neck Tumor Segmentation and Survival Prediction Using Robust Deep Learning Techniques and Advanced Hybrid Machine Learning Systems. HECKTOR@MICCAI 2021: 211-223
Informal and Other Publications
- 2025
- [i8]Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu:
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer. CoRR abs/2501.18109 (2025) - [i7]Sonya Falahati, Morteza Alizadeh, Zhino Safahi, Navid Khaledian, Mohsen Alambardar Meybodi, Mohammad R. Salmanpour:
An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study. CoRR abs/2504.13880 (2025) - [i6]Mohammad R. Salmanpour, Seyed Mohammad Piri, Somayeh Sadat Mehrnia, Ahmad Shariftabrizi, Masume Allahmoradi, Venkata SK. Manem, Arman Rahmim, Ilker Hacihaliloglu:
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0. CoRR abs/2505.14926 (2025) - [i5]Morteza Alizadeh, Mehrdad Oveisi, Sonya Falahati, Ghazal Mousavi, Mohsen Alambardar Meybodi, Somayeh Sadat Mehrnia, Ilker Hacihaliloglu, Arman Rahmim, Mohammad R. Salmanpour:
AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning. CoRR abs/2505.15931 (2025) - 2024
- [i4]Mohammad R. Salmanpour, Morteza Alizadeh, Ghazal Mousavi, Saba Sadeghi, Sajad Amiri, Mehrdad Oveisi, Arman Rahmim, Ilker Hacihaliloglu:
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization. CoRR abs/2411.12032 (2024) - [i3]Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, Ali Fathi Jouzdani, Nima Sanati, Mehdi Maghsudi, Bonnie Leung, Cheryl Ho, Ren Yuan, Arman Rahmim:
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. CoRR abs/2412.00068 (2024) - [i2]Mohammad R. Salmanpour, Sajad Amiri, Sara Gharibi, Ahmad Shariftabrizi
, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu:
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0. CoRR abs/2412.10967 (2024) - 2022
- [i1]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
:
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. CoRR abs/2203.06314 (2022)
Coauthor Index

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