Characterising the Fetal Brain

Normal development of the human brain can be characterized by precisely timed growth and folding of its surface (cortex), with deviations often associated with poor cognitive outcomes. Advances in ultrasound (US) imaging technology now make it possible to visualize the cortex and screen for brain abnormalities before birth, from as early as 14 gestational weeks (GW). Working closely with the INTERGROWTH-21st Consortium and healthcare professionals, we develop a range of computational tools for assessing fetal health from US images.

Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years

Namburete et al. Nature (2023)

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning

Hesse et al. NeuroImage (2022)

BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography

Moser et al. NeuroImage (2022)

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning

Namburete et al. Medical Image Analysis (2018)

Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound

Wyburd et al. PIPPI (2021)

Learning-based prediction of gestational age from ultrasound images of the fetal brain

Namburete et al. Medical Image Analysis (2015)

Prototype learning for explainable brain age prediction

Hesse et al. WACV (2024)

Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound

Wyburd et al. MIUA (2021)

Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound

Venturini et al. MIUA (2021)