Research

Central Theme

Our research focuses on the development and translation of cutting-edge biomedical ultrasound technologies, integrating ultrasound physics, signal processing, and artificial intelligence to address unmet medical needs and ultimately improve human health.

Example Projects (Sorted by Technical Areas)

Machine Learning

• Liver Fat Quantification Using Deep Learning and Ultrasound
• Ultrasound Brain Imaging Using Machine Learning
• Correction of Phase Aberration Caused by the Skull
• Fetal Weight Prediction
• Automated Region of Interest Placement on Ultrasound Images

Ultrasound Physics and Quantitative Imaging

• Pulse-echo Speed of Sound Imaging
• Fundamental Mechanisms of Ultrasonic Wave Propagation in Biological Media
• Numerical Simulation of Ultrasonic Wave Propagation and Scattering
• Liver Fat Quantification Using Quantitative Ultrasound
• New Quantitative Ultrasound Biomarkers for Liver Cancer Diagnosis
• Preterm Birth Risk Assessment Using Quantitative Ultrasound

Example Projects (Sorted by Application Areas)

Brain

• Ultrasound Brain Imaging Using Machine Learning
• Correction of Phase Aberration Caused by the Skull
• Numerical Simulation of Ultrasonic Wave Propagation and Scattering

Liver

• Liver Fat Quantification Using Deep Learning and Ultrasound
• Liver Fat Quantification Using Quantitative Ultrasound
• New Quantitative Ultrasound Biomarkers for Liver Cancer Diagnosis
• Pulse-echo Speed of Sound Imaging

Obstetrics

• Fetal Weight Prediction
• Automated Region of Interest Placement on Ultrasound Images
• Preterm Birth Risk Assessment Using Quantitative Ultrasound
• Placental Imaging