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A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2021 English Publisher:Elsevier BVJournal:Medical Image Analysis, volume 71, page 102,080 (issn: 1361-8415, Copyright policy )Funded by:FWF | Personalized Multiphysics...
Authors: Karli Gillette; Matthias A. F. Gsell; Anton J. Prassl; Elias Karabelas; Ursula Reiter; Gert Reiter; Thomas Grandits; +9 Authors

doi: 10.1016/j.media.2021.102080 , 10.5281/zenodo.7944373 , 10.5281/zenodo.7944372

pmid: 33975097

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

Abstract

This piece of work was originally published in the Medical Image Analysis (Volume 71, 2021). A title page is included with proper acknowledgements stated that "This project 18HLT07 MedalCare has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme."

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Keywords

Parameter identification, Radiological and Ultrasound Technology, Heart Ventricles, Heart, Health Informatics, Computer Graphics and Computer-Aided Design, Cardiac digital twins, Ventricular activation and repolarization sequence, Electrocardiography, Multi-label image segmentation, Satelli sampling, Humans, Computer Simulation, Radiology, Nuclear Medicine and imaging, Computer Vision and Pattern Recognition, Electrophysiologic Techniques, Cardiac, Forward ECG modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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156
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27
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