Ana Namburete
Associate Professor
In 2006, I received my undergraduate degree BASc in Engineering Science from Simon Fraser University. With support from a Commonwealth Scholarship, I read for a DPhil in Engineering Science at the University of Oxford under the supervision of Professor Alison Noble. Following a postdoctoral fellowship funded by a grant from the Bill and Melinda Gates Foundation, I secured a Royal Academy of Engineering (RAEng) Research Fellowship to establish my independent research group at Oxford’s Department of Engineering Science, and I also became an Associate Research Fellow at St Hilda's College.
In 2021, I joined the Department of Computer Science as a Research Lecturer and established the Oxford Machine Learning in NeuroImaging (OMNI) Lab. I also became a Tutorial Fellow in Computer Science at Pembroke College, tasked with re-introducing the subject as an undergraduate option.
Recent publications
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.
Journal article
Bai J. et al, (2026), Medical image analysis, 111
Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age
Journal article
Wyburd MK. et al, (2026), Nature Communications
Semi-supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
Conference paper
Yeung PH. et al, (2026), Lecture Notes in Computer Science, 16241 LNCS, 52 - 62
Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing
Preprint
Kalabizadeh H. et al, (2024)
An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields
Journal article
Scott I. et al, (2024), Computers in Biology and Medicine, 169, 107872 - 107872