Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network.
- DOI
- 10.1117/1.jmi.10.5.051810
- Published
- 2023 Sep
- Container
- Journal of medical imaging (Bellingham, Wash.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1117/1.jmi.10.5.051810,
title = {Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network.},
author = {Katakol S and Baker TJ and Bian Z and Lu Y and Spahlinger G and Hatt CR and Burris NS},
year = {2023},
journal = {Journal of medical imaging (Bellingham, Wash.)},
doi = {10.1117/1.jmi.10.5.051810},
url = {https://doi.org/10.1117/1.jmi.10.5.051810}
}RIS
TY - JOUR TI - Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network. AU - Katakol S AU - Baker TJ AU - Bian Z AU - Lu Y AU - Spahlinger G AU - Hatt CR AU - Burris NS PY - 2023 JO - Journal of medical imaging (Bellingham, Wash.) DO - 10.1117/1.jmi.10.5.051810 UR - https://doi.org/10.1117/1.jmi.10.5.051810 ER -
APA
S, K., TJ, B., Z, B., Y, L., G, S., CR, H., & NS, B. (2023). Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network.. Journal of medical imaging (Bellingham, Wash.). https://doi.org/10.1117/1.jmi.10.5.051810
Source records
- pubmed · retrieved 2026-09-26T17:12:50.645Z