dc.contributor.author | Law, Yuen C. | en_US |
dc.contributor.author | Weyers, Benjamin | en_US |
dc.contributor.author | Kuhlen, Torsten W. | en_US |
dc.contributor.editor | Kai Lawonn and Mario Hlawitschka and Paul Rosenthal | en_US |
dc.date.accessioned | 2016-06-09T09:31:52Z | |
dc.date.available | 2016-06-09T09:31:52Z | |
dc.date.issued | 2016 | en_US |
dc.identifier.isbn | 978-3-03868-017-8 | en_US |
dc.identifier.issn | - | en_US |
dc.identifier.issn | 1017-4656 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/eurorv3.20161113 | en_US |
dc.identifier.uri | https://diglib.eg.org:443/handle/10 | |
dc.description.abstract | In the simulation of multi-component systems, we often encounter a problem with a lack of ground-truth data. This situation makes the validation of our simulation methods and models a difficult task. In this work we present a guideline to design validation methodologies that can be applied to the validation of multi-component simulations that lack of ground-truth data. Additionally we present an example applied to an Ultrasound Image Simulation for medical training and give an overview of the considerations made and the results for each of the validation methods. With these guidelines we expect to obtain more comparable and reproducible validation results from which other similar work can benefit. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | I.6.4 [Simulation and Modeling] | en_US |
dc.subject | Model Validation and Analysis | en_US |
dc.title | Experiences on Validation of Multi-Component System Simulations for Medical Training Applications | en_US |
dc.description.seriesinformation | EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) | en_US |
dc.description.sectionheaders | Evaluation and Validation Methods for Medical Applications | en_US |
dc.identifier.doi | 10.2312/eurorv3.20161113 | en_US |
dc.identifier.pages | 29-33 | en_US |