Research
In my current role, I am developing deep-learning methods to monitor fetal brain development from ultrasound volumes. During my DPhil, I developed a fully automated pipeline to characterise the healthy cortical development. I am now looking at at-risk pregnancies to see how their development varies.
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Anatomically Plausible Segmentations: Explicitly Preserving Topology Through Prior Deformations.”s
Madeleine K Wyburd , Nicola Dinsdale, Ana IL Namburete, Mark Jenkinson
Medical Image Analysis, 2024
Project Page / Paper / Code
Extension from the 2021 MICCAI paper.
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Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Ana IL Namburete, Madeleine K Wyburd ... Intergrowth Consortium
Nature, 2023
Paper
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TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
Madeleine K Wyburd , Nicola Dinsdale, Ana IL Namburete, Mark Jenkinson
MICCAI, 2021 [Early Acceptance]- Conference Proceedings + Presentation
Project Page / Paper / Code
Novel segmentation method guaranteeing accurate topology.
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Automated grading of fetal cortical development using deep-learning algorithms: A preliminary 3D ultrasound study in healthy fetuses
Madeleine K Wyburd , Linde Hesse,Moska Aliasi, Felipe Moser, Monique C. Haak, Aris Papageorghiou, the INTEGROWTH-21st Consortium, Ana IL Namburete
ISUOG, 2021 - Oral Presentation
More Information Coming Soon
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Deep learning-based assessment of second trimester cortical plate development in 3D ultrasound
Madeleine K Wyburd , Aris Papageorghiou,Mark Jenkinson Ana IL Namburete
ISUOG, 2021 - Oral Presentation
More Information Coming Soon
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Using Deep Learning to Segment the Developing Cortical Plate from 3D Fetal Ultrasound.
Madeleine K Wyburd , Mark Jenkinson Ana IL Namburete
RSNA, 2020 - Poster Presentation
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Cortical Plate Segmentation using CNNs in 3D Fetal Ultrasound
Madeleine K Wyburd, Ana IL Namburete, Mark Jenkinson
MIUA, 2020 - Conference Proceedings + Presentation
Paper / Presentation
Initial cortical plate segmentation methods
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The template of this webpage is from source code.
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