Behzad Forghani
Siemens (Canada)(CA)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced X-ray and CT Imaging, Medical Imaging Techniques and Applications, Radiation Dose and Imaging, Machine Learning in Healthcare
Most-Cited Works
- → Brief History of Artificial Intelligence(2020)206 cited
- → Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology(2019)201 cited
- → Endometrial Carcinoma: MR Imaging–based Texture Model for Preoperative Risk Stratification—A Preliminary Analysis(2017)167 cited
- → Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning(2019)116 cited
- → Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy(2019)87 cited
- → Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm(2018)80 cited
- → Overview of Machine Learning Part 1(2020)47 cited
- → Advanced Tissue Characterization and Texture Analysis Using Dual-Energy Computed Tomography(2017)32 cited
- → Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models(2021)9 cited
- → 3-D Stray-Field Loss Evaluation of Harmonic and DC-Biased Excitations by Harmonic-Balanced Method with Parallel Computing(2025)