[Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm].
- DOI
- 10.6009/jjrt.2024-1353
- Published
- 2024 May 20
- Container
- Nihon Hoshasen Gijutsu Gakkai zasshi
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.6009/jjrt.2024-1353,
title = {[Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm].},
author = {Kitera N and Fujioka C and Higaki T and Nishimaru E and Yokomachi K and Matsumoto Y and Kiguchi M and Ohashi K and Kasai H and Awai K},
year = {2024},
journal = {Nihon Hoshasen Gijutsu Gakkai zasshi},
doi = {10.6009/jjrt.2024-1353},
url = {https://doi.org/10.6009/jjrt.2024-1353}
}RIS
TY - JOUR TI - [Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm]. AU - Kitera N AU - Fujioka C AU - Higaki T AU - Nishimaru E AU - Yokomachi K AU - Matsumoto Y AU - Kiguchi M AU - Ohashi K AU - Kasai H AU - Awai K PY - 2024 JO - Nihon Hoshasen Gijutsu Gakkai zasshi DO - 10.6009/jjrt.2024-1353 UR - https://doi.org/10.6009/jjrt.2024-1353 ER -
APA
N, K., C, F., T, H., E, N., K, Y., Y, M., M, K., K, O., H, K., & K, A. (2024). [Validation of Optimal Imaging Conditions for Coronary Computed Tomography Angiography Using High-definition Mode and Deep Learning Image Reconstruction Algorithm].. Nihon Hoshasen Gijutsu Gakkai zasshi. https://doi.org/10.6009/jjrt.2024-1353
Source records
- pubmed · retrieved 2026-09-27T11:23:06.964Z