Jacqueline Matthew
King's College
H-index: 19
North America-United States
Top articles of Jacqueline Matthew
Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI
Scientific Reports
2024/3/19
Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models
BMC medical imaging
2024/3/1
Interaction between clinicians and artificial intelligence to detect fetal atrioventricular septal defects on ultrasound: how can we optimize collaborative performance?
Ultrasound in Obstetrics & Gynecology
2024/1/10
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans
arXiv preprint arXiv:2401.01201
2024/1/2
Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?
Prenatal Diagnosis
2023/9/30
Samuel Budd
H-Index: 2
Jacqueline Matthew
H-Index: 12
David Lloyd
H-Index: 9
Alberto Gomez
H-Index: 17
Reza Razavi
H-Index: 1
Bernhard Kainz
H-Index: 27
Exploring the role of a time-efficient MRI assessment of the placenta and fetal brain in uncomplicated pregnancies and these complicated by placental insufficiency
Placenta
2023/8/1
Sonographer interaction with artificial intelligence: collaboration or conflict?
Ultrasound in Obstetrics and Gynecology
2023/8
560 Fetal craniofacial biometry: feasibility of deep 3D MRI phenotyping in a cohort with Down syndrome using atlas-based label propagation
2023/7/1
Jacqueline Matthew
H-Index: 12
Robert Wright
H-Index: 15
Jana Hutter
H-Index: 21
David Edwards
H-Index: 4
Mary Rutherford
H-Index: 53
Automated body organ segmentation and volumetry for 3D motion-corrected T2-weighted fetal body MRI: a pilot pipeline.
Medrxiv: the Preprint Server for Health Sciences
2023/6/1
Perceptions and perspectives of therapeutic radiographers on the use of Artificial Intelligence in a Clinical Setting–a UK study
2023/5/9
Towards realistic ultrasound fetal brain imaging synthesis
arXiv preprint arXiv:2304.03941
2023/4/8
Jacqueline Matthew
H-Index: 12
Hamideh Kerdegari
H-Index: 6
Laura Peralta
H-Index: 11
Miguel Xochicale
H-Index: 2
Factors which influence ethnic minority women’s participation in maternity research: A systematic review of quantitative and qualitative studies
2023/2/24
Jacqueline Matthew
H-Index: 12
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
Insights into imaging
2023/2/3
Jacqueline Matthew
H-Index: 12
Giacomo Tarroni
H-Index: 14
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view
Medical image analysis
2023/1/1
Inside the ‘imperfect mosaic’: Minority ethnic women’s qualitative experiences of race and ethnicity during pregnancy, childbirth, and maternity care in the United Kingdom
BMC public health
2023/12/21
Jacqueline Matthew
H-Index: 12
Total and Regional Brain Volumes in Fetuses With Congenital Heart Disease
Journal of Magnetic Resonance Imaging
2023/10/17
Fast fetal head compounding from multi-view 3D ultrasound
Medical Image Analysis
2023/10/1
A postgraduate introductory module in artificial intelligence for radiographers: experiences of students and educators
Journal of Medical Imaging and Radiation Sciences
2022/12/1
UK reporting radiographers’ perceptions of AI in radiographic image interpretation–Current perspectives and future developments
2022/11/1
Jacqueline Matthew
H-Index: 12
Sonyia Mcfadden
H-Index: 8
An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey
Journal of Medical Imaging and Radiation Sciences
2022/9/1
Co-Authors
