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Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium
A long-standing problem at the frontier of biomechanical studies is to develop fast methods capable of estimating material properties from clinical data. In this paper, we have studied three surrogate models based on machine learning (ML) methods for fast parameter estimation of left ventricular (LV...
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| Publicado no: | R Soc Open Sci |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7890479/ https://ncbi.nlm.nih.gov/pubmed/33614068 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.201121 |
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