Area of research
Oncology · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Nomogram, Radiomics, Oncology, Immunohistochemistry, and Hazard ratio.
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network
Deep-learning features based on F18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) to predict preoperative colorectal cancer lymph node metastasis
Development and validation of a preoperative CT‑based radiomics nomogram to differentiate tuberculosis granulomas from lung adenocarcinomas: an external validation study
Draw on advantages and avoid disadvantages: CT-derived individualized radiomic signature for predicting chemo-radiotherapy sensitivity in unresectable advanced non-small cell lung cancer
Identification of a rank-based radiomic signature with individualized prognostic value for lung adenocarcinoma in a multi-cohort study
PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs
NUCKS1 overexpression is a novel biomarker for recurrence-free survival in cervical squamous cell carcinoma