Area of research
Radiology, Nuclear Medicine and Imaging · Otorhinolaryngology
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Head and Neck Cancer Studies, Medical Imaging Techniques and Applications, and Dental Radiography and Imaging.
AI-based differential diagnosis of dementia etiologies on multimodal data
AI-based differential diagnosis of dementia etiologies on multimodal data
Multiparametric machine learning algorithm for human papillomavirus status and survival prediction in oropharyngeal cancer patients
Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT
Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images
Quantitative assessment of the maxillary sinusitis using computed tomography texture analysis: odontogenic vs non-odontogenic etiology
Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma
Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study
Using CT texture analysis to differentiate cystic and cystic-appearing odontogenic lesions
Craniofacial Manifestations of Systemic Disorders: CT and MR Imaging Findings and Imaging Approach
CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy