DTC - Madeleine Wyburd

Madeleine Wyburd

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!

Publications

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.

Conferences

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

Background

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

Undergraduate Reaserach:

Simultaneous magnetoencephalography and magnetomyography using an optically pumped magnetometer array
(Jan 2017 - May 2017):Undergraduate Third Yr Project. Supervisor: Dr Matt Brookes
A semester long project investigating the corticomuscular coherence using a brand new imaging technique; optically pumped magnetometer array (OPM). The project determined the experimental bandwidth of OPM which was previously unknown. It was my first experience of experimental design and taught me how to use several imaging techniques, including MEG and MRI.
Automating Cytometric Medical Techniques
(Oct 2017 - Nov 2017),Undergraduate Computing Project.
An image processing project, exploring computational methods for cell counting and analysis of myelination in rat brain neurones. This project was then linked to diagnosing multiple sclerosis.
Disorder in disorder? Understanding the neuropathological basis of schizophrenia
(Sep 2017 - June 2018) Final Year Project. Supervisor: Dr Matt Brookes
A year long project looking at the neural pathways in schizophrenic patients. Using magnetoencephalography (MEG) data, we are able to map out the disorder of the human brain. This project involves collecting our own data from healthy patients and comparing it to data from Schizophrenic individuals.

last updated September 2021