Ana Namburete

Ana Namburete is an Associate Professor of Computer Science at the University of Oxford, affiliated with the Department of Computer Science and Pembroke College. Her research focuses on deep learning and computer vision for medical image analysis, particularly in fetal and neonatal neuroimaging. She develops methods for quantifying brain development from ultrasound, with an emphasis on low-resource clinical settings. Her work includes 3D brain reconstruction from 2D ultrasound, atlas construction, and domain adaptation for neuroimaging harmonisation. She leads the Oxford Machine Learning in NeuroImaging (OMNI) Lab and has published over 70 papers. Her research is supported by various funding bodies, including the ERC Starting Grant and the Bill and Melinda Gates Foundation.

Ana IL Namburete is a researcher at the University of Oxford specializing in Medical Image Analysis, with a focus on Ultrasound, Deep Learning, Machine Learning, and Image Processing. Her work explores the application of deep learning techniques to medical imaging, particularly in the context of MRI harmonisation, fetal brain ultrasound analysis, and computational methods for quantifying muscle fascicle curvature. She has developed methods for automated alignment of 3D fetal brain ultrasound to a canonical reference space and investigated challenges in the clinical translation of machine learning for big data imaging studies. Her research also includes self-supervised learning for ultrasound to MRI image synthesis and techniques for improving model performance in low-data regimes.