Research output per year
Research output per year
Personal profile
Research interests
Jackie Matthew is a Clinical Research Fellow in the Department of Perinatal Imaging and Health, previously working as part of the Intelligent Fetal Imaging and Diagnosis (iFIND) project. She is a Sonographer and Radiographer, and undertakes clinical ultrasound practice as part of KCL research studies and Guy's and St Thomas' NHS Foundation Trust. Her research interest includes use of artificial intelligence to improve fetal screening with ultrasound and diagnostic assessment with MRI.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Automated Craniofacial Biometry with 3D T2w Fetal MRI
Matthew, J., Uus, A., Egloff Collado, A., Luis, A., Arulkumaran, S., Gartner, A., Kyriakopoulou, V., Cromb, D., Wright, R., Colford, K., Deprez, M., Hutter, J., O'Muircheartaigh, J., Malamateniou, C., Razavi, R., Story, L., Hajnal, J. & Rutherford, M., Oct 2024, (Accepted/In press) In: PLoS One.Research output: Contribution to journal › Article › peer-review
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Craniofacial phenotyping with fetal MRI: A feasibility study of 3D visualisation, segmentation, surface-rendered and physical models
Matthew, J., Uus, A., De Souza, L., Wright, R., Fukami-Gartner, A., Priego, G., Saija, C., Deprez, M., Egloff Collado, A., Hutter, J., Story, L., Malamateniou, C., Rhode, K., Hajnal, J. & Rutherford, M., 1 Mar 2024, In: BMC medical imaging. 24, 1, p. 52 52.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)21 Downloads (Pure) -
3D T2w fetal body MRI: automated organ volumetry, growth charts and population-averaged atlas
Uus, A. U., Hall, M., Grigorescu, I., Zampieri, C. A., Collado, A. E., Payette, K., Matthew, J., Kyriakopoulou, V., Hajnal, J. V., Hutter, J., Rutherford, M. A., Deprez, M. & Story, L., 7 Aug 2023, (Accepted/In press) In: eLife.Research output: Contribution to journal › Article › peer-review
Open AccessFile135 Downloads (Pure) -
560 Fetal craniofacial biometry: feasibility of deep 3D MRI phenotyping in a cohort with Down syndrome using atlas-based label propagation
Matthew, J., Uus, A., Gartner, A., Cordero-Grande, L., Kyriakopoulou, V., Cromb, D., Wright, R., O'Muircheartaigh, J., Baburamani, A., Malamateniou, C., Hutter, J., Edwards, D., Hajnal, J., Rutherford, M. & Deprez, M., 2023, British Association of Perinatal Medicine and Neonatal Society.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
van de Venter, R., Skelton, E., Matthew, J., Woznitza, N., Tarroni, G., Hirani, S. P., Kumar, A., Malik, R. & Malamateniou, C., Dec 2023, In: Insights into imaging. 14, 1, 25.Research output: Contribution to journal › Article › peer-review
Open Access18 Citations (Scopus)
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Evaluation of state of the art ultrasound and novel three dimensional MRI for fetal facial and cranial examination of dysmorphic features; a pilot study
Matthew, J. (Primary Investigator)
NIHR National Institute For Health & Care Research
1/09/2020 → 30/09/2025
Project: Research
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Why are Black, Asian and minority ethnic women under-represented in pregnancy imaging studies? A multi-method study to explore attitudes, experiences and research priorities
Matthew, J. (Primary Investigator) & Silverio, S. (Co-Investigator)
1/02/2021 → 31/08/2023
Project: Research
Prizes
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Educational Exhibits Competition, Canadian Association of Radiologists
Kulkarni, S. (Recipient), Gupta, C. (Recipient) & Matthew, J. (Recipient), 10 May 2018
Prize: Prize (including medals and awards)
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Research Training Fellowship in Perinatal Imaging
Matthew, J. (Recipient), 8 Apr 2015
Prize: Fellowship awarded competitively