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Seyed Masoud Rezaeijo
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2020 – today
- 2025
- [j4]Erfan AkbarnezhadSany, Hossein Entezari Zarch, Mohammad AlipoorKermani, Baharak Shahin, Mohsen Cheki, Aida Karami, Samaneh Zahedi, Zahra AhmadPour, Sadegh Ahmadi-Mazhin, Ali Rahimnezhad, Sahar Sayfollahi, Salar Bijari, Melika Shojaee, Seyed Masoud Rezaeijo
:
YOLOv8 Outperforms Traditional CNN Models in Mammography Classification: Insights From a Multi-Institutional Dataset. Int. J. Imaging Syst. Technol. 35(1) (2025) - 2023
- [j3]Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, Mahmoud Mohammadi Sadr
, Samir Moniri, Sahel Heydarheydari, Seyed Masoud Rezaeijo:
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI. BMC Medical Imaging 23(1): 195 (2023) - [j2]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) - 2022
- [j1]Eskandar Taghizadeh, Sahel Heydarheydari, Alihossein Saberi, Shabnam JafarpoorNesheli, Seyed Masoud Rezaeijo:
Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods. BMC Bioinform. 23(1): 410 (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
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last updated on 2025-03-15 22:29 CET by the dblp team
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