dc.contributor.author	Derstroff, Adrian	en_US
dc.contributor.author	Leistikow, Simon	en_US
dc.contributor.author	Nahardani, Ali	en_US
dc.contributor.author	Ebrahimi, Mahyasadat	en_US
dc.contributor.author	Hoerr, Verena	en_US
dc.contributor.author	Linsen, Lars	en_US
dc.contributor.editor	Krone, Michael	en_US
dc.contributor.editor	Lenti, Simone	en_US
dc.contributor.editor	Schmidt, Johanna	en_US
dc.date.accessioned	2022-06-02T15:29:02Z
dc.date.available	2022-06-02T15:29:02Z
dc.date.issued	2022
dc.description.abstract	Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim - among others - at detecting biomarkers in the form of spatio-temporal regions of blood flow obtained by medical imaging or of derived hemodynamical parameters. As the search space for such biomarkers in time-varying volumetric multi-field data is extremely large, we present an interactive visual exploration system to support the analysis of the potential of spatio-temporal regions to discriminate cohorts.	en_US
dc.description.sectionheaders	Posters
dc.description.seriesinformation	EuroVis 2022 - Posters
dc.identifier.doi	10.2312/evp.20221109
dc.identifier.isbn	978-3-03868-185-4
dc.identifier.pages	15-17
dc.identifier.pages	3 pages
dc.identifier.uri	https://doi.org/10.2312/evp.20221109
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/evp20221109
dc.publisher	The Eurographics Association	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.title	Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates	en_US

Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates

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