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 (HECKTOR@MICCAI, 2021)

Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. - Mohammad R. Salmanpour; Ghasem Hajianfar; Seyed Masoud Rezaeijo; Mohammad Mahdi Ghaemi; Arman Rahmim (HECKTOR@MICCAI, 2021)

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 Mahdi Ghaemi; Arman Rahmim (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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 Mahdi Ghaemi; Amir Hossein Nabizadeh; Arman Rahmim (Computer-Aided Diagnosis, 2022)

Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques. - Seyed Masoud Rezaeijo; Ali Harimi; Mohammad R. Salmanpour (HECKTOR@MICCAI, 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 (HECKTOR@MICCAI, 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 (Image Processing, 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)

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., 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, 2023)

Neighboring tissues as diagnostic windows: Neighborhood effects in radiomic detection of pancreatic ductal adenocarcinoma. - Seyed Masoud Rezaeijo; Alireza Eftekhar; Saleh Rouhi; Behnaz Keshavarzi; Zahra Mohammadi; Leila Alipour Firouzabad; Maryam Abidi; Salimeh Ghafeli (Comput. Methods Programs Biomed., 2025)

Enhanced Interpretability in Breast Cancer Detection: Combining Grad-CAM With Selective Layer Freezing in Deep Learning. - Shabnam Jafarpoor Nesheli; Maryam Sabet; Vesal Firoozi; Sahel Heydarheydari; Seyed Masoud Rezaeijo (Int. J. Imaging Syst. Technol., 2025)

YOLOv8 Outperforms Traditional CNN Models in Mammography Classification: Insights From a Multi-Institutional Dataset. - 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; et al. (Int. J. Imaging Syst. Technol., 2025)