A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data.
- DOI
- 10.1007/s00330-023-09807-6
- Published
- 2023 Dec
- Container
- European radiology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00330-023-09807-6,
title = {A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data.},
author = {Chen BH and Wu CW and An DA and Zhang JL and Zhang YH and Yu LZ and Watson K and Wesemann L and Hu J and Chen WB and Xu JR and Zhao L and Feng C and Jiang M and Pu J and Wu LM},
year = {2023},
journal = {European radiology},
doi = {10.1007/s00330-023-09807-6},
url = {https://doi.org/10.1007/s00330-023-09807-6}
}RIS
TY - JOUR TI - A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data. AU - Chen BH AU - Wu CW AU - An DA AU - Zhang JL AU - Zhang YH AU - Yu LZ AU - Watson K AU - Wesemann L AU - Hu J AU - Chen WB AU - Xu JR AU - Zhao L AU - Feng C AU - Jiang M AU - Pu J AU - Wu LM PY - 2023 JO - European radiology DO - 10.1007/s00330-023-09807-6 UR - https://doi.org/10.1007/s00330-023-09807-6 ER -
APA
BH, C., CW, W., DA, A., JL, Z., YH, Z., LZ, Y., K, W., L, W., J, H., WB, C., JR, X., L, Z., C, F., M, J., J, P., & LM, W. (2023). A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data.. European radiology. https://doi.org/10.1007/s00330-023-09807-6
Source records
- pubmed · retrieved 2026-09-26T06:30:29.687Z