Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization

Zaman, S; Vimalesvaran, K; Chappell, D; Varela, M; Peters, NS; Shiwani, H; Knott, KD; Davies, RH; Moon, JC; Bharath, AA; Linton, NW; Francis, DP; Cole, GD; Howard, JP

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Journal article

Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization

Abstract:: Data files containing the content of table 2 from reference [1] are provided. [1] Peter Jansson, Martin Bengtsson, Ulrika Bäckström, Sophie Grape, Erik Branger, Anders Sjöland; "Time stamped list mode data from gamma-ray spectroscopic measurements on 47 nuclear fuel assemblies performed at Clab, Sweden, September 2016 through March 2019"; Data in Brief; Volume 31; ISSN 2352-3409; DOI: 10.1016/j.dib.2020.106039; 2020

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Zaman, S., Vimalesvaran, K., Chappell, D., Varela, M., Peters, N. S., Shiwani, H., Knott, K. D., Davies, R. H., Moon, J. C., Bharath, A. A., Linton, N. W., Francis, D. P., Cole, G. D., & Howard, J. P. (2024). Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization. Journal of Cardiovascular Magnetic Resonance, 26(1), 101040–101040.

MLA Style

Zaman, S, et al. “Quality Assurance of Late Gadolinium Enhancement Cardiac Magnetic Resonance Images: a Deep Learning Classifier for Confidence in the Presence or Absence of Abnormality with Potential to Prompt Real-Time Image Optimization.” Journal of Cardiovascular Magnetic Resonance, vol. 26, no. 1, 2024, pp. 101040–40.

Chicago Style

Zaman, S, K Vimalesvaran, D Chappell, et al. 2024. “Quality Assurance of Late Gadolinium Enhancement Cardiac Magnetic Resonance Images: a Deep Learning Classifier for Confidence in the Presence or Absence of Abnormality with Potential to Prompt Real-Time Image Optimization.” Journal of Cardiovascular Magnetic Resonance 26 (1): 101040–40.
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