Abnormal umbilical artery pulsatility index in appropriately grown fetuses in the early third trimester: an observational cohort study

Autor: Sam Mathewlynn, Sridevi Beriwal, Christos Ioannou, Angelo Cavallaro, Lawrence Impey

Publikováno v: The journal of maternal-fetalneonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.

The aim of this study was to determine if appropriately grown fetuses (those that are not small-for-gestational-age) with a raised umbilical artery pulsatility index (95th centile) in the mid third trimester are at increased risk of placental dysfunc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90d2b5ccf72eb54058b4767dd13a53a2
https://pubmed.ncbi.nlm.nih.gov/36482725

A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry

Autor: Yuan Gao, Lokhin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris Papageorghiou, Alison Noble

Publikováno v: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

This paper presents a novel approach to automatic fetal brain biometry motivated by needs in low- and medium- income countries. Specifically, we leverage high-end (HE) ultrasound images to build a biometry solution for low-cost (LC) point-of-care ult

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac3595203180e62501ae0f87aa4b623
http://arxiv.org/abs/2108.12719

Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis

Autor: Rachel Craik, J. Alison Noble, Aris T. Papageorghiou, Peter von Dadelszen, Mohammed A. Maraci, Mohammad Yaqub, A. Self, Sridevi Beriwal

Publikováno v: J Med Imaging (Bellingham)

Obstetric ultrasound is a fundamental ingredient of modern prenatal care with many applications including accurate dating of a pregnancy, identifying pregnancy-related complications, and diagnosis of fetal abnormalities. However, despite its many ben

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a3cb8ef7fba68092bfc805f15c7230d
https://doi.org/10.1117/1.jmi.7.1.014501

Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning

Autor: Sridevi Beriwal, Rachel Craik, Yuan Gao, Aris T. Papageorghiou, J. Alison Noble

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis ISBN: 9783030603335
ASMUS/PIPPI@MICCAI

For many emerging medical image analysis problems, there is limited data and associated annotations. Traditional deep learning is not well-designed for this scenario. In addition, for deploying deep models on a consumer-grade tablet, it requires mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4bc4cff4732912582c5ae3f2fe26c50