Mining data from hemodynamic simulations via Bayesian emulation
Background: Arterial geometry variability is inevitable both within and across individuals. To ensure realistic prediction of cardiovascular flows, there is a need for efficient numerical methods that can systematically account for geometric uncertainty. Methods and results: A statistical framework...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd,
2010-10-06T20:18:17Z.
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| Subjects: | |
| Online Access: | Get fulltext |