Mohammad R. Salmanpour

932 citations

28 papers · 426 indexed · h-index 10

Co-authors: Arman Rahmim Mojtaba Shamsaei Mahdi Hosseinzadeh Seyed Masoud Rezaeijo Abdollah Saberi Ghasem Hajianfar Vesna Sossi Ivan S. Klyuzhin
Topics: Radiomics and Machine Learning in Medical Imaging (21 papers)Parkinson's Disease Mechanisms and Treatments (8 papers)AI in cancer detection (6 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Neurology
Journals: IEEE Access Physics in Medicine and Biology Cancers
Partner nations: Canada Iran United States

In The Last Decade

Mohammad R. Salmanpour

27 papers receiving 420 citations

Peers

Countries citing papers authored by Mohammad R. Salmanpour

Since Specialization

Citations

This map shows the geographic impact of Mohammad R. Salmanpour's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad R. Salmanpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad R. Salmanpour more than expected).

Fields of papers citing papers by Mohammad R. Salmanpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad R. Salmanpour. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad R. Salmanpour. The network helps show where Mohammad R. Salmanpour may publish in the future.

Co-authorship network of co-authors of Mohammad R. Salmanpour

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad R. Salmanpour. A scholar is included among the top collaborators of Mohammad R. Salmanpour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad R. Salmanpour. Mohammad R. Salmanpour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhanced Lung Cancer Survival Prediction Using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets 2025 ·Cancers ·Mohammad R. Salmanpour,(unknown),(unknown),(unknown),(unknown),(unknown),Bonnie Leung,Cheryl Ho,Ren Yuan,Arman Rahmim	2
2	Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review 2025 ·Journal of Imaging Informatics in Medicine ·(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),Arman Rahmim,Mohammad R. Salmanpour	2
3	Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer 2025 ·International Journal of Computer Assisted Radiology and Surgery ·Mohammad R. Salmanpour,Amin Mousavi,Yixi Xu,William B. Weeks,Ilker Hacihaliloglu	2
4	Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer, Dictionary Version PM1.0 2025 ·Journal of Imaging Informatics in Medicine ·Mohammad R. Salmanpour,(unknown),(unknown),Ahmad Shariftabrizi,Yixi Xu,William B. Weeks,Arman Rahmim,Ilker Hacihaliloglu	1
5	Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization 2025 ·IEEE Access ·Mohammad R. Salmanpour,Morteza Alizadeh,(unknown),(unknown),(unknown),(unknown),Arman Rahmim,Ilker Hacihaliloglu	2
6	Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0 2025 ·A. A. Gorji,Nasim Sanati,(unknown),(unknown),Ahmad Shariftabrizi,Ilker Hacihaliloglu,Arman Rahmim,Mohammad R. Salmanpour	0
7	Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes 2025 ·EJNMMI Physics ·(unknown),Isaac Shiri,Fereshteh Yousefirizi,Mohammad R. Salmanpour,(unknown),(unknown),Wentao Zhu,Habib Zaidi,Lijun Lu,Arman Rahmim	1
8	Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques 2023 ·Diagnostics ·Mohammad R. Salmanpour,Seyed Masoud Rezaeijo,Mahdi Hosseinzadeh,Arman Rahmim	53
9	Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer 2023 ·Computer Methods and Programs in Biomedicine ·Mohammad R. Salmanpour,Mahdi Hosseinzadeh,Seyed Masoud Rezaeijo,Arman Rahmim	42
10	Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems 2023 ·Diagnostics ·Mahdi Hosseinzadeh,(unknown),(unknown),Seyed Masoud Rezaeijo,Arman Rahmim,Mohammad R. Salmanpour	48
11	Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features 2023 ·International Journal of Imaging Systems and Technology ·Mohammad R. Salmanpour,Mahdi Hosseinzadeh,(unknown),(unknown),Arman Rahmim	4
12	Prediction of Parkinson’s disease pathogenic variants using hybrid Machine learning systems and radiomic features 2023 ·Physica Medica ·Ghasem Hajianfar,Samira Kalayinia,Mahdi Hosseinzadeh,(unknown),Majid Maleki,Vesna Sossi,Arman Rahmim,Mohammad R. Salmanpour	9
13	Application of novel hybrid machine learning systems and radiomics features for non-motor outcome prediction in Parkinson’s disease 2022 ·Physics in Medicine and Biology ·Mohammad R. Salmanpour,(unknown),Mahdi Hosseinzadeh,(unknown),Fereshteh Yousefirizi,(unknown),Arman Rahmim	5
14	Longitudinal clustering analysis and prediction of Parkinson’s disease progression using radiomics and hybrid machine learning 2021 ·Quantitative Imaging in Medicine and Surgery ·Mohammad R. Salmanpour,Mojtaba Shamsaei,Ghasem Hajianfar,Hamid Soltanian‐Zadeh,Arman Rahmim	31
15	Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease 2021 ·Computer Methods and Programs in Biomedicine ·Mohammad R. Salmanpour,Mojtaba Shamsaei,Arman Rahmim	39
16	Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning 2020 ·Computers in Biology and Medicine ·Mohammad R. Salmanpour,Mojtaba Shamsaei,Abdollah Saberi,Ghasem Hajianfar,Hamid Soltanian‐Zadeh,Arman Rahmim	40
17	Machine learning methods for optimal prediction of motor outcome in Parkinson’s disease 2020 ·Physica Medica ·Mohammad R. Salmanpour,Mojtaba Shamsaei,Abdollah Saberi,Ivan S. Klyuzhin,Jing Tang,Vesna Sossi,Arman Rahmim	35
18	Optimal Feature Selection and Machine Learning for Prediction of Outcome in Parkinson’s Disease 2020 ·Mohammad R. Salmanpour,Abdollah Saberi,Mojtaba Shamsaei,Arman Rahmim	7
19	Hybrid Machine Learning Methods for Robust Identification of Parkinson’s Disease Subtypes 2020 ·Mohammad R. Salmanpour,Mojtaba Shamsaei,Abdollah Saberi,Ghasem Hajianfar,Saeed Ashrafinia,Esmaeil Davoodi‐Bojd,Hamid Soltanian‐Zadeh,Arman Rahmim	8
20	Machine Learning Methods for Optimal Prediction of Outcome in Parkinson’s Disease 2018 ·Mohammad R. Salmanpour,Mojtaba Shamsaei,Abdollah Saberi,Saeed Setayeshi,(unknown),Ivan S. Klyuzhin,Jing Tang,Vesna Sossi,Arman Rahmim	11

About Mohammad R. Salmanpour

Mohammad R. Salmanpour is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 28 papers that have together received 426 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (254 citations) and Neurology (136 citations). Mohammad R. Salmanpour has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Arman Rahmim, Mojtaba Shamsaei, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Abdollah Saberi, Ghasem Hajianfar, Vesna Sossi, Ivan S. Klyuzhin, Hamid Soltanian‐Zadeh and Saeed Setayeshi. Their work appears in journals such as IEEE Access, Physics in Medicine and Biology and Cancers.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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