AutOmatic floW planning for fetaL MRI (OWL)
SN Silva, T Woodgate, S McElroy, M Cleri… - arXiv preprint arXiv …, 2024 - arxiv.org
Two subsequent deep learning networks, one localizing the fetal chest and one identifying a
set of landmarks on a coronal whole-uterus balanced steady-state free precession scan …
set of landmarks on a coronal whole-uterus balanced steady-state free precession scan …
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI
P Ramirez, A Uus, MPM van Poppel… - Machine Learning …, 2023 - melba-journal.org
Abstract Congenital Heart Disease (CHD) is a group of cardiac malformations present
already during fetal life, representing the prevailing category of birth defects globally. Our …
already during fetal life, representing the prevailing category of birth defects globally. Our …
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling
This paper proposes a fully-automated technique for estimation of an antenatal risk score for
Coarctation of the Aorta (CoA) from fetal T2-weighted 3D cardiac magnetic resonance …
Coarctation of the Aorta (CoA) from fetal T2-weighted 3D cardiac magnetic resonance …