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Journal of X-Ray Science and Technology|July 5, 2021
Predicting breast cancer response to neoadjuvant chemotherapy using ensemble deep transfer learning based on CT imagesSeyed Masoud Rezaeijo, Mohammadreza Ghorvei, Bahram Mofid
Polish Journal of Radiology|September 13, 2023
Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworksSahel Heydarheydari, Mohammad Javad Tahmasebi Birgani, Seyed Masoud Rezaeijo
Diagnostics (Basel, Switzerland)|May 27, 2023
Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion TechniquesMohammad R Salmanpour, Seyed Masoud Rezaeijo, Mahdi Hosseinzadeh, et al.
Journal of X-Ray Science and Technology|February 22, 2021
Screening of COVID-19 based on the extracted radiomics features from chest CT imagesSeyed Masoud Rezaeijo, Razzagh Abedi-Firouzjah, Mohammadreza Ghorvei, et al.
Computer Methods and Programs in Biomedicine|July 20, 2023
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancerMohammad R Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, et al.
BMC Bioinformatics|October 1, 2022
Breast cancer prediction with transcriptome profiling using feature selection and machine learning methodsEskandar Taghizadeh, Sahel Heydarheydari, Alihossein Saberi, et al.
Quantitative Imaging in Medicine and Surgery|February 25, 2025
Development and validation of a robust MRI-based nomogram incorporating radiomics and deep features for preoperative glioma grading: a multi-center studySalar Bijari, Seyed Masoud Rezaeijo, Sahar Sayfollahi, et al.
Cancers|July 29, 2023
Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI ScansSeyed Masoud Rezaeijo, Nahid Chegeni, Fariborz Baghaei Naeini, et al.
BMC Urology|March 16, 2025
Improving prostate brachytherapy outcomes through MRI-Assisted dominant lesion dose paintingFaranak Rahmani, Mohammad Javad Tahmasebi Birgani, Fatemeh Mohammadian, et al.
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