Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging.
- DOI
- 10.3389/fcvm.2021.765693
- Published
- 2021
- Container
- Frontiers in cardiovascular medicine
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.3389/fcvm.2021.765693,
title = {Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging.},
author = {Sanchez-Martinez S and Camara O and Piella G and Cikes M and González-Ballester MÁ and Miron M and Vellido A and Gómez E and Fraser AG and Bijnens B},
year = {2021},
journal = {Frontiers in cardiovascular medicine},
doi = {10.3389/fcvm.2021.765693},
url = {https://doi.org/10.3389/fcvm.2021.765693}
}RIS
TY - JOUR TI - Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging. AU - Sanchez-Martinez S AU - Camara O AU - Piella G AU - Cikes M AU - González-Ballester MÁ AU - Miron M AU - Vellido A AU - Gómez E AU - Fraser AG AU - Bijnens B PY - 2021 JO - Frontiers in cardiovascular medicine DO - 10.3389/fcvm.2021.765693 UR - https://doi.org/10.3389/fcvm.2021.765693 ER -
APA
S, S., O, C., G, P., M, C., MÁ, G., M, M., A, V., E, G., AG, F., & B, B. (2021). Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging.. Frontiers in cardiovascular medicine. https://doi.org/10.3389/fcvm.2021.765693