Upper airway morphometry in acute neck infections: Clinical associations and deep learning–based segmentation
- DOI
- 10.1016/j.ejrad.2026.113340
- Published
- 2027-01
- Container
- European Journal of Radiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejrad.2026.113340,
title = {Upper airway morphometry in acute neck infections: Clinical associations and deep learning–based segmentation},
author = {Ville Viertonen and Aapo Sirén and Aaro Widell and Jari-Pekka Vierula and Tatu Happonen and Mikko Nyman and Janne Nurminen and Heidi Huhtanen and Jussi Hirvonen},
year = {2027},
journal = {European Journal of Radiology},
doi = {10.1016/j.ejrad.2026.113340},
url = {https://doi.org/10.1016/j.ejrad.2026.113340}
}RIS
TY - JOUR TI - Upper airway morphometry in acute neck infections: Clinical associations and deep learning–based segmentation AU - Ville Viertonen AU - Aapo Sirén AU - Aaro Widell AU - Jari-Pekka Vierula AU - Tatu Happonen AU - Mikko Nyman AU - Janne Nurminen AU - Heidi Huhtanen AU - Jussi Hirvonen PY - 2027 JO - European Journal of Radiology DO - 10.1016/j.ejrad.2026.113340 UR - https://doi.org/10.1016/j.ejrad.2026.113340 ER -
APA
Viertonen, V., Sirén, A., Widell, A., Vierula, J., Happonen, T., Nyman, M., Nurminen, J., Huhtanen, H., & Hirvonen, J. (2027). Upper airway morphometry in acute neck infections: Clinical associations and deep learning–based segmentation. European Journal of Radiology. https://doi.org/10.1016/j.ejrad.2026.113340
Source records
- crossref · retrieved 2026-11-09T08:21:35.603Z