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Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization

Gabriel Mistelbauer, Hamed Bouzari, Rüdiger Schernthaner, Ivan Baclija, Arnold Köchl, Stefan Bruckner, Milos Srámek, M. Eduard Gröller

CONFERENCE PAPER: In Proceedings of IEEE VAST 2012, pp. 163–172, 2012. DOI: 10.1109/VAST.2012.6400555

Abstract

Due to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Of these, not each might be applicable to the data at hand or might reveal the desired result. Owing to this, innovations may be used inappropriately and users may become skeptical. In this paper we propose a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. We present an application of our system in the medical domain and give qualitative feedback from domain experts.

Published

Proceedings of IEEE VAST 2012

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BibTeX

@INPROCEEDINGS{Mistelbauer-2012-SSV,
  author = {Gabriel Mistelbauer and Hamed Bouzari and R{\"u}diger Schernthaner
	and Ivan Baclija and Arnold K{\"o}chl and Stefan Bruckner and Milos
	Sr{\'a}mek and M. Eduard Gr{\"o}ller},
  title = {Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization},
  booktitle = {Proceedings of IEEE VAST 2012},
  year = {2012},
  pages = {163--172},
  month = oct,
  publisher = {IEEE Computer Society},
  abstract = {Due to the ever growing volume of acquired data and information, users
	have to be constantly aware of the methods for their exploration
	and for interaction. Of these, not each might be applicable to the
	data at hand or might reveal the desired result. Owing to this, innovations
	may be used inappropriately and users may become skeptical. In this
	paper we propose a knowledge-assisted interface for medical visualization,
	which reduces the necessary effort to use new visualization methods,
	by providing only the most relevant ones in a smart way. Consequently,
	we are able to expand such a system with innovations without the
	users to worry about when, where, and especially how they may or
	should use them. We present an application of our system in the medical
	domain and give qualitative feedback from domain experts.},
  doi = {10.1109/VAST.2012.6400555},
  keywords = {knowledge-based visualization, medical visualization, integrated views},
  location = {Seattle, WA, USA},
  url = {http://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/}
}






 Last Modified: Stefan Bruckner, 2014-09-22