We are members of the Image Analysis Cluster of the Institute of Biomedical Engineering (IBME), Department of Engineering Science at the University of Oxford. Our research incorporates machine learning, image data analysis, and software development to design and deploy appropriate engineering solutions for clinical challenges. We are primarily funded by the Royal Academy of Engineering (RAEng) under the Engineering for Development scheme supported by the Global Challenges Research Fund (GCRF). Our work is also supported by the Bill and Melinda Gates Foundation.
Our research is guided by the fact that ultrasound imaging is amongst the first steps in a continuum of pregnancy care. Although ultrasound machines are increasingly available in low-income settings, the lack of suitably trained sonographers presents a significant roadblock for delivery of safe and reliable prenatal care. Our research focuses on creating computational algorithms to enhance the diagnostic value of sonographic images. Through this work, we aim to establish ultrasound as a cost-effective tool for early assessment of brain maturation during pregnancy.
Our current research themes involve the development of tools to analyse images of the fetal brain at different stages in pregnancy for the purpose of pre-birth diagnosis of conditions such as malnutrition and fetal alcohol syndrome. More information about ongoing projects may be found on this website.