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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890479/ https://www.ncbi.nlm.nih.gov/pubmed/33614068 http://dx.doi.org/10.1098/rsos.201121 |