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Mohammad R. Salmanpour
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2020 – today
- 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) - 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 M. Ghaemi, Arman Rahmim:
Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. Medical Imaging: 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 M. Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim:
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. Medical Imaging: 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. Medical Imaging: Image Processing 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) - 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) - [c2]Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad 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
2010 – 2019
- 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)
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