Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging.
- DOI
- 10.1080/21681163.2022.2113824
- Published
- 2023
- Container
- Computer methods in biomechanics and biomedical engineering. Imaging & visualization
- Publisher
- Not recorded
- Open access
- yes
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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:10.1080/21681163.2022.2113824,
title = {Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging.},
author = {Njeru DK and Athawale TM and France JJ and Johnson CR},
year = {2023},
journal = {Computer methods in biomechanics and biomedical engineering. Imaging \& visualization},
doi = {10.1080/21681163.2022.2113824},
url = {https://doi.org/10.1080/21681163.2022.2113824}
}RIS
TY - JOUR TI - Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging. AU - Njeru DK AU - Athawale TM AU - France JJ AU - Johnson CR PY - 2023 JO - Computer methods in biomechanics and biomedical engineering. Imaging & visualization DO - 10.1080/21681163.2022.2113824 UR - https://doi.org/10.1080/21681163.2022.2113824 ER -
APA
DK, N., TM, A., JJ, F., & CR, J. (2023). Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging.. Computer methods in biomechanics and biomedical engineering. Imaging & visualization. https://doi.org/10.1080/21681163.2022.2113824
Source records
- pubmed · retrieved 2026-11-10T16:45:39.337Z