Seyed Masoud Rezaeijo on Muck Rack

Seyed Masoud Rezaeijo

As seen in: Frontiers, MDPI
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Articles

Fully automated 3D body composition analysis and its association with overall survival in head and neck squamous cell carcinoma patients

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By Biomedical Engineering, Abhishek Mahajan, Renjie He, Seyed Masoud Rezaeijo
| Frontiers
1 Introduction Head and neck squamous cell carcinoma (HNSCC) had 890,000 new cases and 450,000 new deaths in 2018, placing itself as the 6th most common cancer worldwide (1). It arises from the squamous epithelium of the oral cavity, oropharynx, larynx, and hypopharynx (2) and due to its anatomical location and clinical symptoms such as chronic pain of the throat, nonhealing ulcers, and odynophagia, it can cause a decrease in proper food intake.
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Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI Scans

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By Seyed Masoud Rezaeijo, Dimitrios Makris, Nahid Chegeni, Fariborz Baghaei Naeini
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques

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By Seyed Masoud Rezaeijo, Arman Rahmim, Seyed Masoud, Mohammad R. Salmanpour
| MDPI
Open AccessArticle by Mohammad R.
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