City Research Online

Items where Author is "Matthew, J."

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Number of items: 14.

Article

Matthew, J., Uus, A., De Souza, L. , Wright, R., Fukami-Gartner, A., Priego, G., Saija, C., Deprez, M., Collado, A. E., Hutter, J., Story, L., Malamateniou, C. ORCID: 0000-0002-2352-8575, Rhode, K., Hajnal, J. & Rutherford, M. A. (2024). Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Medical Imaging, 24(1), article number 52. doi: 10.1186/s12880-024-01230-7

Day, T. G., Budd, S., Tan, J. , Matthew, J., Skelton, E. ORCID: 0000-0003-0132-7948, Jowett, V., Lloyd, D., Gomez, A., Hajnal, J. V., Razavi, R., Kainz, B. & Simpson, J. M. (2023). Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?. Prenatal Diagnosis, 44(6-7), pp. 717-724. doi: 10.1002/pd.6445

Lovell, H., Silverio, S. A., Story, L. , Skelton, E. ORCID: 0000-0003-0132-7948 & Matthew, J. (2023). Factors which influence ethnic minority women’s participation in maternity research: A systematic review of quantitative and qualitative studies. PLoS ONE, 18(2), article number e0282088. doi: 10.1371/journal.pone.0282088

van de Venter, R., Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J. , Woznitza, N., Tarroni, G. ORCID: 0000-0002-0341-6138, Hirani, S. P. ORCID: 0000-0002-1577-8806, Kumar, A., Malik, R. & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2023). Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study. Insights Imaging, 14(1), article number 25. doi: 10.1186/s13244-023-01372-2

Zimmer, V. A., Gomez, A., Skelton, E. ORCID: 0000-0003-0132-7948 , Wright, R., Wheeler, G., Deng, S., Ghavami, N., Lloyd, K., Matthew, J., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A. (2023). Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Analysis, 83, article number 102639. doi: 10.1016/j.media.2022.102639

Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. ORCID: 0000-0002-2352-8575 & McFadden, S. (2022). UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments. Radiography, 28(4), pp. 881-888. doi: 10.1016/j.radi.2022.06.006

Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. ORCID: 0000-0002-2352-8575 & McFadden, S. (2022). 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, 53(3), pp. 347-361. doi: 10.1016/j.jmir.2022.05.010

Gomez, A., Zimmer, V. A., Wheeler, G. , Toussaint, N., Deng, S., Wright, R., Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Kainz, B., Hajnal, J. V. & Schnabel, J. (2022). PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX, 17, article number 100959. doi: 10.1016/j.softx.2021.100959

Matthew, J., Skelton, E. ORCID: 0000-0003-0132-7948, Story, L. , Davidson, A., Knight, C. L., Gupta, C., Pasupathy, D. & Rutherford, M. (2021). MRI-Derived Fetal Weight Estimation in the Midpregnancy Fetus: A Method Comparison Study. Fetal Diagnosis and Therapy, 48(10), pp. 708-719. doi: 10.1159/000519115

Rainey, C., O'Regan, T., Matthew, J. , Skelton, E., Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., McFadden, S. & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2021). Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers. Frontiers in Digital Health, 3, article number 739327. doi: 10.3389/fdgth.2021.739327

Malamateniou, C. ORCID: 0000-0002-2352-8575, McFadden, S., McQuinlan, Y. , England, A., Woznitza, N., Goldsworthy, S., Currie, C., Skelton, E. ORCID: 0000-0003-0132-7948, Chu, K-Y., Alware, N., Matthews, P., Hawkesford, R., Tucker, R., Town, W., Matthew, J., Kalinka, C. & O'Regan, T. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography, 27(4), pp. 1192-1202. doi: 10.1016/j.radi.2021.07.028

Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Li, Y. , Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V. & Rutherford, M. (2020). Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison. Radiography, 27(2), pp. 519-526. doi: 10.1016/j.radi.2020.11.006

Conference or Workshop Item

Turner, C., Emmanouilidis, C., Tomiyama, T. , Tiwari, A. & Roy, R. ORCID: 0000-0001-5491-7437 (2018). Intelligent decision support for maintenance: A new role for audit trails. In: Liyanage, J., Amadi-Echendu, J. & Matthew, J. (Eds.), Engineering Assets and Public Infrastructures in the Age of Digitalization: Proceedings of the 13th World Congress on Engineering Asset Management (Lecture Notes in Mechanical Engineering). WCEAM – 2018: the 13th World Congress on Engineering Asset Management, 24-26 Sep 2018, Stavanger, Norway. doi: 10.1007/978-3-030-48021-9

Other

Matthew, J., Uus, A., Collado, A. E. , Luis, A., Arulkumaran, S., Fukami-Gartner, A., Kyriakopoulou, V., Cromb, D., Wright, R., Colford, K., Deprez, M., Hutter, J., O’Muircheartaigh, J., Malamateniou, C. ORCID: 0000-0002-2352-8575, Razavi, R., Story, L., Hajnal, J. & Rutherford, M. A. (2024). Automated Craniofacial Biometry with 3D T2w Fetal MRI. doi: 10.1101/2024.08.13.24311408

This list was generated on Wed Dec 25 03:29:32 2024 UTC.