Published May 25, 2022 | Version v1
Dataset Open

Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machine learning

Authors/Creators

  • 1. The University of Tokyo
  • 2. Fujita Health University
  • 3. Shiga University of Medical Science

Description

Data and code underlying the findings reported in the paper titled "Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machine learning."

Files

UQ_Cereb_Circ_Simul.zip

Files (100.8 MB)

Name Size Download all
md5:fa17cd65b53ad6c6728f6e09e8bcddff
100.8 MB Preview Download