Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms
- DOI
- 10.1007/s12194-024-00875-x
- Published
- 2024-12-31
- Container
- Radiological Physics and Technology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12194-024-00875-x,
title = {Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms},
author = {Takuma Shiomi and Ryohei Nakayama and Akiyoshi Hizukuri and Masafumi Takafuji and Masaki Ishida and Hajime Sakuma},
year = {2024},
journal = {Radiological Physics and Technology},
doi = {10.1007/s12194-024-00875-x},
url = {https://doi.org/10.1007/s12194-024-00875-x}
}RIS
TY - JOUR TI - Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms AU - Takuma Shiomi AU - Ryohei Nakayama AU - Akiyoshi Hizukuri AU - Masafumi Takafuji AU - Masaki Ishida AU - Hajime Sakuma PY - 2024 JO - Radiological Physics and Technology DO - 10.1007/s12194-024-00875-x UR - https://doi.org/10.1007/s12194-024-00875-x ER -
APA
Shiomi, T., Nakayama, R., Hizukuri, A., Takafuji, M., Ishida, M., & Sakuma, H. (2024). Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms. Radiological Physics and Technology. https://doi.org/10.1007/s12194-024-00875-x
Source records
- crossref · retrieved 2026-11-10T10:04:06.279Z