Area of research
Radiology, Nuclear Medicine and Imaging · Endocrinology, Diabetes and Metabolism
Research interest
Research focused on Radiology and Thyroid, with related work in Ultrasound, Cirrhosis, Breast cancer. Notable publications include 'Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B', 'Deep learning-based prediction of axillary pathological complete response in patients with breast cancer using longitudinal multiregional ultrasound', and 'Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study'.
A vision-language foundation model improves preoperative diagnosis of follicular thyroid neoplasms using ultrasound images
Deep learning-based prediction of axillary pathological complete response in patients with breast cancer using longitudinal multiregional ultrasound
Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study
Noninvasive Deep Learning System for Preoperative Diagnosis of Follicular-Like Thyroid Neoplasms Using Ultrasound Images
Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B