Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using <sup>129</sup>Xe and <sup>1</sup>H MRI.
- DOI
- 10.1148/ryct.250371
- Published
- 2026-06-01
- Container
- Radiol Cardiothorac Imaging
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1148/ryct.250371,
title = {Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using \<sup\>129\</sup\>Xe and \<sup\>1\</sup\>H MRI.},
author = {Astley JR and Marshall H and Smith LJ and Biancardi AM and Brook M and Collier GJ and Hughes PJC and Saunders LC and Wild JM and Tahir BA.},
year = {2026},
journal = {Radiol Cardiothorac Imaging},
doi = {10.1148/ryct.250371},
url = {https://doi.org/10.1148/ryct.250371}
}RIS
TY - JOUR TI - Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using <sup>129</sup>Xe and <sup>1</sup>H MRI. AU - Astley JR AU - Marshall H AU - Smith LJ AU - Biancardi AM AU - Brook M AU - Collier GJ AU - Hughes PJC AU - Saunders LC AU - Wild JM AU - Tahir BA. PY - 2026 JO - Radiol Cardiothorac Imaging DO - 10.1148/ryct.250371 UR - https://doi.org/10.1148/ryct.250371 ER -
APA
JR, A., H, M., LJ, S., AM, B., M, B., GJ, C., PJC, H., LC, S., JM, W., & BA., T. (2026). Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using <sup>129</sup>Xe and <sup>1</sup>H MRI.. Radiol Cardiothorac Imaging. https://doi.org/10.1148/ryct.250371
Source records
- europe-pmc · retrieved 2026-09-25T10:24:22.067Z