Madeleine Wyburd

Personal photo - Madeleine Wyburd

Madeleine Wyburd

My Project Webpage

I'm a DPhil student at the Univeristy of Oxford, based in the recently established Oxford Machine Learning NeuroImaging Lab (OMNI) lead by Dr Ana Namburete

My research broadly focuses on using deep learning on fetal ultrasound scans to monitor fetal brain development

In 2021 I became an outreach officer for Oxfords Women in Computer Science Society (OXWOCS) and really excited to get the opportunity to help girls get into our field!


2021: Wyburd, Madeleine K., Hesse, Linde, et al. "Assessment of Regional Cortical Development through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound" - in publications
2021: Wyburd, Madeleine K., et al. "TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations." arXiv preprint arXiv:2107.13542 (2021)
2020: Wyburd, Madeleine K., Mark Jenkinson, and Ana IL Namburete. "Cortical plate segmentation using CNNs in 3D fetal ultrasound." Annual Conference on Medical Image Understanding and Analysis. Springer, Cham, 2020.


2021: Medical Image Computing & Computer Assisted Intervention (MICCAI) - Presenter
2021: Perinatal, Preterm and Paediatric Image Analysis (PIPPI) - Presenter
2021: The International Society of Ultrasound in Obstetrics and Gynecology (ISUOG)- Presenter
2020: Radiological Society of North America (RSNA) - Presenter
2020: Medical Image Understanding and Analysis (MIUA) - Presenter
2019: Oxford's Biomedical Imaging Festival
2018: Oxford's Biomedical Imaging Festival


I graduated from the Univeristy of Nottingham in 2018 with a MSC in Physics.

Undergraduate Reaserach:

last updated September 2021