Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms.

Shiomi T, Nakayama R, Hizukuri A, Takafuji M, Ishida M, Sakuma H

Open source

DOI
10.1007/s12194-024-00875-x
Published
2025 Mar
Container
Radiological physics and technology
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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 = {Shiomi T and Nakayama R and Hizukuri A and Takafuji M and Ishida M and Sakuma H},
  year = {2025},
  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  - Shiomi T
AU  - Nakayama R
AU  - Hizukuri A
AU  - Takafuji M
AU  - Ishida M
AU  - Sakuma H
PY  - 2025
JO  - Radiological physics and technology
DO  - 10.1007/s12194-024-00875-x
UR  - https://doi.org/10.1007/s12194-024-00875-x
ER  - 

APA

T, S., R, N., A, H., M, T., M, I., & H, S. (2025). 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