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Publications

External validation of models to estimate gestational age in the second and third trimester using ultrasound: A prospective multicentre observational study.

Self A. et al, (2024), BJOG

Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis.

Allotey J. et al, (2024), Health Technol Assess, 28, 1 - 119

Automating the Human Action of First-Trimester Biometry Measurement from Real-World Freehand Ultrasound.

Yasrab R. et al, (2024), Ultrasound Med Biol, 50, 805 - 816

Cooking with liquefied petroleum gas or biomass and fetal growth outcomes: a multi-country randomised controlled trial.

Checkley W. et al, (2024), Lancet Glob Health, 12, e815 - e825

Accuracy of prenatal and postnatal biomarkers for estimating gestational age: a systematic review and meta-analysis.

Bradburn E. et al, (2024), EClinicalMedicine, 70

Detection of non-cardiac fetal abnormalities by ultrasound at 11-14 weeks: systematic review and meta-analysis.

Karim J. et al, (2024), Ultrasound Obstet Gynecol

Maternal Vaccination Against COVID-19 and Neonatal Outcomes During Omicron: INTERCOVID-2022 Study.

Barros FC. et al, (2024), Am J Obstet Gynecol

Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning.

Men Q. et al, (2023), Med Image Anal, 90

The COVID-19 International Drug Pregnancy Registry (COVID-PR): Protocol Considerations.

Wyszynski DF. et al, (2023), Drug Saf

Does antenatal cholecalciferol supplementation affect the mode or timing of delivery? Post hoc analyses of the MAVIDOS randomized controlled trial.

Moon RJ. et al, (2023), J Public Health (Oxf), 45, 738 - 747

Automated description and workflow analysis of fetal echocardiography in first-trimester ultrasound video scans

Yasrab R. et al, (2023)

Densely Attentional Network for first trimester fetal ultrasound video automated CRL and NT segmentation

Gridach M. et al, (2023)

Towards standard plane prediction of fetal head ultrasound with domain adaption

Men Q. et al, (2023)

Risk factors associated with stillbirth and adverse perinatal outcomes in dichorionic twin pregnancies complicated by selective fetal growth restriction: a cohort study.

Kalafat E. et al, (2023), BJOG

Machine learning for accurate estimation of fetal gestational age based on ultrasound images.

Lee LH. et al, (2023), NPJ Digit Med, 6

Pregnancy outcomes and vaccine effectiveness during the period of omicron as the variant of concern, INTERCOVID-2022: a multinational, observational study.

Villar J. et al, (2023), Lancet

A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video

Kwon J. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13932 LNCS, 134 - 146

Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

Fu Z. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13803 LNCS, 422 - 436

Establishing Surrogate markers by Consensus for Antepartum and Intrapartum Stillbirth: The In-utero Consensus for Alternative outcomes in Research on Stillbirth (ICARES) project

Gordijn S. et al, (2023)

Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data.

Teng C. et al, (2023), Proc Mach Learn Res, 210, 184 - 198

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