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Mohammad R. Salmanpour
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2020 – today
- 2024
- [c8]Mohammad R. Salmanpour
, Amin Mousavi, Yixi Xu
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 - 2023
- [j5]Mohammad R. Salmanpour
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
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
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
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 - [i1]Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri
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
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
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
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
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease. Comput. Biol. Medicine 111 (2019)
Coauthor Index
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