AutoVARP - A framework for automated reproducible inducibility testing in computational models of cardiac electrophysiology.
- DOI
- 10.1016/j.cmpb.2026.109466
- Published
- 2026 Oct
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 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:10.1016/j.cmpb.2026.109466,
title = {AutoVARP - A framework for automated reproducible inducibility testing in computational models of cardiac electrophysiology.},
author = {Seghetti P and Gsell MAF and Prassl AJ and Bishop M and Plank G},
year = {2026},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2026.109466},
url = {https://doi.org/10.1016/j.cmpb.2026.109466}
}RIS
TY - JOUR TI - AutoVARP - A framework for automated reproducible inducibility testing in computational models of cardiac electrophysiology. AU - Seghetti P AU - Gsell MAF AU - Prassl AJ AU - Bishop M AU - Plank G PY - 2026 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2026.109466 UR - https://doi.org/10.1016/j.cmpb.2026.109466 ER -
APA
P, S., MAF, G., AJ, P., M, B., & G, P. (2026). AutoVARP - A framework for automated reproducible inducibility testing in computational models of cardiac electrophysiology.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2026.109466
Source records
- pubmed · retrieved 2026-09-25T00:34:35.360Z