Belinda Curpen

Research Interests: Artificial Intelligence, Breast Biopsies, Machine Learning, Mammography, MRI, Tomosynthesis, Ultrasound

My current research program is focused on improving the diagnostic accuracy of ultrasound and magnetic resonance imaging using quantitative imaging analyses as well as investigating AI in Breast Imaging. The primary endpoint is to provide better imaging tools to radiologists and other clinicians. The work on quantitative ultrasound for treatment response monitoring has already led to several publications (Sannachi et al. 2018; Sadeghi-Naini et al. 2017; Tran et al. 2017) and I am currently co-leading research on the use of quantitative magnetic resonance imaging to detect biological changes in breast tumors treated with chemotherapy.