Research output per year
Research output per year
Personal profile
Research interests (short)
Medical Ultrasound, Artificial Intelligence, Patient-Centred Care, Education and Training.
Biographical details
Diagnostic Radiographer specialising in Medical Ultrasound
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):
Education/Academic qualification
Clinical Education, Postgraduate Certificate , King’s College London
Sept 2018 → Feb 2020
Award Date: 15 Feb 2020
Medical Ultrasound, Master in Science, King’s College London
Jan 2011 → Mar 2013
Award Date: 15 Mar 2013
Diagnostic Radiography, Bachelor of Science, St George's, University of London
Sept 2006 → Jun 2009
Award Date: 15 Jun 2009
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 Access14 Citations (Scopus) -
Factors which influence ethnic minority women's participation in maternity research: A systematic review of quantitative and qualitative studies
Lovell, H., Silverio, S. A., Story, L., Skelton, E. & Matthew, J., 24 Feb 2023, In: PLoS One. 18, 2 February, e0282088.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Citations (Scopus)137 Downloads (Pure) -
Fast fetal head compounding from multi-view 3D ultrasound
Wright, R., Gomez, A., Zimmer, V. A., Toussaint, N., Khanal, B., Matthew, J., Skelton, E., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A., Oct 2023, In: Medical Image Analysis. 89, 102793.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view
Zimmer, V. A., Gomez, A., Skelton, E., Wright, R., Wheeler, G., Deng, S., Ghavami, N., Lloyd, K., Matthew, J., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A., Jan 2023, In: Medical Image Analysis. 83, 102639.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?
Day, T. G., Budd, S., Tan, J., Matthew, J., Skelton, E., Jowett, V., Lloyd, D., Gomez, A., Hajnal, J. V., Razavi, R., Kainz, B. & Simpson, J. M., 2023, (Accepted/In press) In: Prenatal Diagnosis.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)
Prizes
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College of Radiographers Doctoral Fellowship (DF017)
Skelton, E. (Recipient), Jun 2019
Prize: Fellowship awarded competitively
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Designing Clinical Research 2020
Skelton, E. (Recipient), Jan 2021
Prize: Prize (including medals and awards)