Editorial for “Analysis of Upper Airway Morphology Using Four-Dimensional Dynamic MRI With Active Deep Learning-Based Automatic Segmentation”

Stewart, N.J. orcid.org/0000-0001-8358-394X and Wild, J.M. orcid.org/0000-0002-7246-8660 (2026) Editorial for “Analysis of Upper Airway Morphology Using Four-Dimensional Dynamic MRI With Active Deep Learning-Based Automatic Segmentation”. Journal of Magnetic Resonance Imaging, 63 (5). pp. 1418-1419. ISSN: 1053-1807

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Item Type: Article
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© 2026 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Journal of Magnetic Resonance Imaging is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Biomedical and Clinical Sciences; Cardiovascular Medicine and Haematology; Machine Learning and Artificial Intelligence; Biomedical Imaging; Networking and Information Technology R&D (NITRD)
Dates:
  • Submitted: 21 January 2026
  • Accepted: 23 January 2026
  • Published (online): 27 February 2026
  • Published: May 2026
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Date Deposited: 13 Jul 2026 14:38
Last Modified: 13 Jul 2026 14:38
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1002/jmri.70283
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