License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.6.4.16
URN: urn:nbn:de:0030-drops-61517
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6151/
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Hotz, Ingrid ; Özarslan, Evren ; Schultz, Thomas
Weitere Beteiligte (Hrsg. etc.): Ingrid Hotz and Evren Özarslan and Thomas Schultz

Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis (Dagstuhl Seminar 16142)

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dagrep_v006_i004_p016_s16142.pdf (1.0 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 16142, "Multidisciplinary Approaches to Multivalued Data: Modelling, Visualization, Analysis", which was attended by 27 international researchers, both junior and senior. Modelling multivalued data using tensors and higher-order descriptors has become common practice in neuroscience, engineering, and medicine. Novel tools for image analysis, visualization, as well as statistical hypothesis testing and machine learning are required to extract value from such data, and can only be developed within multidisciplinary collaborations. This report gathers abstracts of the talks held by participants on recent advances and open questions related to these challenges, as well as an account of topics raised within two of the breakout sessions.

BibTeX - Entry

@Article{hotz_et_al:DR:2016:6151,
  author =	{Ingrid Hotz and Evren {\"O}zarslan and Thomas Schultz},
  title =	{{Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis (Dagstuhl Seminar 16142)}},
  pages =	{16--38},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{4},
  editor =	{Ingrid Hotz and Evren {\"O}zarslan and Thomas Schultz},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6151},
  URN =		{urn:nbn:de:0030-drops-61517},
  doi =		{10.4230/DagRep.6.4.16},
  annote =	{Keywords: visualization, image processing, statistical analysis, machine learning, tensor fields, higher-order descriptors, diffusion-weighted imaging (DWI), }
}

Keywords: visualization, image processing, statistical analysis, machine learning, tensor fields, higher-order descriptors, diffusion-weighted imaging (DWI),
Freie Schlagwörter (englisch): structural mechanics, fluid dynamics, microstructure imaging, connectomics, uncertainty visualization, feature extraction
Collection: Dagstuhl Reports, Volume 6, Issue 4
Issue Date: 2016
Date of publication: 05.10.2016

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