Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach
- DOI
- 10.1016/j.artmed.2024.102995
- Published
- 2024-11
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2024.102995,
title = {Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach},
author = {Ehsan Naghavi and Haifeng Wang and Lei Fan and Jenny S. Choy and Ghassan Kassab and Seungik Baek and Lik-Chuan Lee},
year = {2024},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2024.102995},
url = {https://doi.org/10.1016/j.artmed.2024.102995}
}RIS
TY - JOUR TI - Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach AU - Ehsan Naghavi AU - Haifeng Wang AU - Lei Fan AU - Jenny S. Choy AU - Ghassan Kassab AU - Seungik Baek AU - Lik-Chuan Lee PY - 2024 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2024.102995 UR - https://doi.org/10.1016/j.artmed.2024.102995 ER -
APA
Naghavi, E., Wang, H., Fan, L., Choy, J. S., Kassab, G., Baek, S., & Lee, L. (2024). Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2024.102995
Source records
- crossref · retrieved 2026-09-26T06:28:37.715Z