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dc.contributor.authorLaw, Yuen C.en_US
dc.contributor.authorWeyers, Benjaminen_US
dc.contributor.authorKuhlen, Torsten W.en_US
dc.contributor.editorKai Lawonn and Mario Hlawitschka and Paul Rosenthalen_US
dc.date.accessioned2016-06-09T09:31:52Z
dc.date.available2016-06-09T09:31:52Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-03868-017-8en_US
dc.identifier.issn-en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttp://dx.doi.org/10.2312/eurorv3.20161113en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractIn 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.publisherThe Eurographics Associationen_US
dc.subjectI.6.4 [Simulation and Modeling]en_US
dc.subjectModel Validation and Analysisen_US
dc.titleExperiences on Validation of Multi-Component System Simulations for Medical Training Applicationsen_US
dc.description.seriesinformationEuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)en_US
dc.description.sectionheadersEvaluation and Validation Methods for Medical Applicationsen_US
dc.identifier.doi10.2312/eurorv3.20161113en_US
dc.identifier.pages29-33en_US


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