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, AI in cancer detection, and Lung Cancer Diagnosis and Treatment.
Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images
Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs
Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study
A deep survival analysis method based on ranking
Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups
Development and validation of an endoscopic images‐based deep learning model for detection with nasopharyngeal malignancies
The value of detailed MR imaging report of primary tumor and lymph nodes on prognostic nomograms for nasopharyngeal carcinoma after intensity-modulated radiotherapy