Publisher Correction: Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning.
- DOI
- 10.1038/s41746-026-02623-4
- Published
- 2026 May 18
- Container
- NPJ digital medicine
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-026-02623-4,
title = {Publisher Correction: Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning.},
author = {Naghavi E and Wang H and Ziaei-Rad V and Guccione J and Kassab G and Boddeti V and Baek S and Lee LC},
year = {2026},
journal = {NPJ digital medicine},
doi = {10.1038/s41746-026-02623-4},
url = {https://doi.org/10.1038/s41746-026-02623-4}
}RIS
TY - JOUR TI - Publisher Correction: Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning. AU - Naghavi E AU - Wang H AU - Ziaei-Rad V AU - Guccione J AU - Kassab G AU - Boddeti V AU - Baek S AU - Lee LC PY - 2026 JO - NPJ digital medicine DO - 10.1038/s41746-026-02623-4 UR - https://doi.org/10.1038/s41746-026-02623-4 ER -
APA
E, N., H, W., V, Z., J, G., G, K., V, B., S, B., & LC, L. (2026). Publisher Correction: Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-02623-4
Source records
- pubmed · retrieved 2026-09-26T08:37:02.637Z