Seyed Masoud Rezaeijo

According to our database, Seyed Masoud Rezaeijo authored at least 10 papers between 2021 and 2023.

Collaborative distances:

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

2023

Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI.

Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, Mahmoud Mohammadi Sadr, Samir Moniri, Sahel Heydarheydari, Seyed Masoud Rezaeijo

BMC Medical Imaging, December, 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

2022

Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.

Eskandar Taghizadeh, Sahel Heydarheydari, Alihossein Saberi, Shabnam JafarpoorNesheli, Seyed Masoud Rezaeijo

BMC Bioinform., 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 M. Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 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 M. Ghaemi, Arman Rahmim

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

2021

Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer.

Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad 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