Area of research
Health Informatics · Molecular Biology
Research interest
Research interests include Segmentation, Medicine, Computer science, Coronavirus disease 2019 (COVID-19), Artificial intelligence, and Machine learning.
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors
An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis