Area of research
Radiology, Nuclear Medicine and Imaging · Biomedical Engineering
Research interest
Research focused on Receiver operating characteristic and Nomogram, with related work in Cohort, Construct (python library), Artificial intelligence. Notable publications include 'Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence', 'A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules', and 'CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: a multicentre cohort study'.
General lightweight framework for vision foundation model supporting multi-task and multi-center medical image analysis
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence
CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: a multicentre cohort study
A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules