Area of research
Radiology, Nuclear Medicine and Imaging · Pulmonary and Respiratory Medicine
Research interest
Research interests include Lung Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, and Advanced MRI Techniques and Applications.
Atypical Cadherin FAT2 Is Required for Synaptic Integrity and Motor Behaviors
Energy consumption estimation and profiling for queries in distributed database systems based on a bottom-up comprehensive energy model
Comparison of Measurement and Prognostic Power of SUV Between High-Definition and Standard PET Imaging in Non–Small Cell Lung Cancer Patients
An elastic framework construction method based on task migration in edge computing
Developing a clinical and PET/CT volumetric prognostic index for risk assessment and management of NSCLC patients after initial therapy
Primary resistance to CD19-directed chimeric antigen receptor T-cell therapy in T-cell/histiocyte-rich large B-cell lymphoma
Developing post-treatment PET/CT volumetric prognostic index for non-small cell lung cancer.
Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging
Risk-stratifying capacity of PET/CT metabolic tumor volume in stage IIIA non-small cell lung cancer
Whole body metabolic tumor volume is a prognostic marker in patients with newly diagnosed stage 3B non-small cell lung cancer, confirmed with external validation
Prognostic value of quantitative PET/CT in patients with a nonsmall cell lung cancer and another primary cancer
A new PET/CT volumetric prognostic index for non-small cell lung cancer
Prognostic value of metabolic tumor burden in lung cancer.
Prognostic Value of Metabolic Tumor Burden from 18F-FDG PET in Surgical Patients with Non–small-cell Lung Cancer
Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer