Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, AI in cancer detection, and Topic Modeling.
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
Preoperative PDW levels predict pulmonary metastasis in patients with hepatocellular carcinoma
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Aberrant TGF-β1 signaling activation by MAF underlies pathological lens growth in high myopia
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
A vaccine targeting the RBD of the S protein of SARS-CoV-2 induces protective immunity