Name
Title | ||
|---|---|---|
Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models. |
Abstract | ||
|---|---|---|
Computer simulations based on the finite element method represent powerful tools for modeling blood flow through arteries. However, due to its computational complexity, this approach may be inappropriate when results are needed quickly. In order to reduce computational time, in this paper, we proposed an alternative machine learning based approach for calculation of wall shear stress (WSS) distrib... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JBHI.2016.2639818 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Bifurcation,Predictive models,Aneurysm,Computational modeling,Blood,Stress,Biological system modeling | Conditional random field,Spatial correlation,Shear stress,Computer science,Finite element method,Bayesian multivariate linear regression,Gaussian,Artificial intelligence,Machine learning,Computational complexity theory,Bifurcation | Journal |
Volume | Issue | ISSN |
22 | 2 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milos Jordanski | 1 | 0 | 0.34 |
| Milos D Radović | 2 | 30 | 7.47 |
| Zarko Milosevic | 3 | 56 | 10.35 |
| Nenad Filipovic | 4 | 59 | 31.21 |
| Zoran Obradovic | 5 | 1110 | 137.41 |