Jacqueline Matthew
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Explore the profile of Jacqueline Matthew including associated specialties, affiliations and a list of published articles.
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30
Citations
209
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Recent Articles
1.
Venturini L, Budd S, Farruggia A, Wright R, Matthew J, Day T, et al.
NPJ Digit Med
. 2025 Jan;
8(1):22.
PMID: 39799267
The current approach to fetal anomaly screening is based on biometric measurements derived from individually selected ultrasound images. In this paper, we introduce a paradigm shift that attains human-level performance...
2.
Matthew J, Uus A, Egloff Collado A, Luis A, Arulkumaran S, Fukami-Gartner A, et al.
PLOS Digit Health
. 2025 Jan;
3(12):e0000663.
PMID: 39774200
Objectives: Evaluating craniofacial phenotype-genotype correlations prenatally is increasingly important; however, it is subjective and challenging with 3D ultrasound. We developed an automated label propagation pipeline using 3D motion- corrected, slice-to-volume...
3.
Wang S, Housden J, Noh Y, Singh D, Singh A, Skelton E, et al.
Towards Auton Robot Sys (2019)
. 2024 Dec;
11650:27-38.
PMID: 39650205
The development of robotic-assisted extracorporeal ultrasound systems has a long history and a number of projects have been proposed since the 1990s focusing on different technical aspects. These aim to...
4.
Matthew J, Uus A, Egloff Collado A, Luis A, Arulkumaran S, Fukami-Gartner A, et al.
medRxiv
. 2024 Aug;
PMID: 39185514
Objectives: Evaluating craniofacial phenotype-genotype correlations prenatally is increasingly important; however, it is subjective and challenging with 3D ultrasound. We developed an automated landmark propagation pipeline using 3D motion-corrected, slice-to-volume reconstructed...
5.
Uus A, Hall M, Grigorescu I, Zampieri C, Egloff Collado A, Payette K, et al.
Sci Rep
. 2024 Mar;
14(1):6637.
PMID: 38503833
Structural fetal body MRI provides true 3D information required for volumetry of fetal organs. However, current clinical and research practice primarily relies on manual slice-wise segmentation of raw T2-weighted stacks,...
6.
Matthew J, Uus A, De Souza L, Wright R, Fukami-Gartner A, Priego G, et al.
BMC Med Imaging
. 2024 Mar;
24(1):52.
PMID: 38429666
This study explores the potential of 3D Slice-to-Volume Registration (SVR) motion-corrected fetal MRI for craniofacial assessment, traditionally used only for fetal brain analysis. In addition, we present the first description...
7.
Silverio S, Varman N, Barry Z, Khazaezadeh N, Rajasingam D, Magee L, et al.
BMC Public Health
. 2023 Dec;
23(1):2555.
PMID: 38129856
Background: Persistent, high rates of maternal mortality amongst ethnic minorities is one of the UK's starkest examples of racial disparity. With greater risks of adverse outcomes during maternity care, ethnic...
8.
Cromb D, Uus A, van Poppel M, Steinweg J, Bonthrone A, Maggioni A, et al.
J Magn Reson Imaging
. 2023 Oct;
60(2):497-509.
PMID: 37846811
Background: Congenital heart disease (CHD) is common and is associated with impaired early brain development and neurodevelopmental outcomes, yet the exact mechanisms underlying these associations are unclear. Purpose: To utilize...
9.
Day T, Budd S, Tan J, Matthew J, Skelton E, Jowett V, et al.
Prenat Diagn
. 2023 Sep;
44(6-7):717-724.
PMID: 37776084
Background: Artificial intelligence (AI) has the potential to improve prenatal detection of congenital heart disease. We analysed the performance of the current national screening programme in detecting hypoplastic left heart...
10.
Wright R, Gomez A, Zimmer V, Toussaint N, Khanal B, Matthew J, et al.
Med Image Anal
. 2023 Jul;
89:102793.
PMID: 37482034
The diagnostic value of ultrasound images may be limited by the presence of artefacts, notably acoustic shadows, lack of contrast and localised signal dropout. Some of these artefacts are dependent...