@INPROCEEDINGS{Balabanian2007,
  author = {Jean-Paul Balabanian and Ivan Viola and Egil Ona and Ruben Patel
	and Eduard Gr{\"o}ller},
  title = {Sonar Explorer: A New Tool for Visualization of Fish Schools from
	{3D} Sonar Data},
  booktitle = {Data Visualization - EuroVis 2007},
  year = {2007},
  editor = {K. Museth and T. M{\"o}ller and A. Ynnerman},
  pages = {155--162},
  month = {5},
  publisher = {Eurographics Association},
  abstract = {We present a novel framework for analysis and visualization of fish
	schools in 3D sonar surveys. The 3D sonar technology is new and there
	have not been applications to visualize the data in 3D. We have created
	an application called Sonar Explorer that satisfies the requirements
	of domain scientists. Sonar Explorer provides easy and intuitive
	semi-automatic fish school tracking and survey map generation. The
	overall pipeline is described and all pipeline stages relevant for
	visualization are highlighted. We present techniques to deal with
	3D sonar data specifics: highly anisotropic volume data aligned on
	a curvilinear grid. Domain scientists provide initial impressions
	on interaction and outlook.},
  isbn = {978-3-905673-45-6},
  location = {Norrk{\"o}ping, Sweden},  
  url = {http://www.ii.uib.no/vis/team/balabanian/publications/Balabanian2007},
  pdf = {pdfs/Balabanian2007.pdf},
  thumbnails = {_images/balabanian_2007_eurovis_thumb.png},
  images = {_images/balabanian_2007_eurovis.png}
}

@inproceedings{balabanian08hierarchical,
  title =      "Hierarchical Volume Visualization of Brain Anatomy",
  author =     "Jean-Paul Balabanian and Martin Ystad and Ivan Viola and
               Arvid Lundervold and Helwig Hauser and M. Eduard
               Gr{\"o}ller",
  year =       "2008",
  pages =      "313--322",
  month =      {oct},
  booktitle =  "Proceeding of Vision, Modeling and Visualization (VMV 2008)",
  isbn =       "978-3-89838-609-8",
  location =   "Konstanz, Germany",
  abstract =   {Scientific data-sets often come with an inherent hierarchical
	structure such as functional substructures within organs. In this work we propose a new
	visualization approach for volume data which is	augmented by the explicit representation 
	of hierarchically structured data. The volumetric structures are organized in an 
	interactive hierarchy view. Seamless zooming between data visualization, with volume 
	rendering, and map viewing, for orientation and navigation within the hierarchy, 
	facilitates deeper insight on multiple levels. The map shows all structures, organized 
	in multiple hierarchy levels. Focusing on a selected node allows a visual analysis of a 
	substructure as well as identifying its location in the hierarchy. The visual style of the
	node in focus, its parent and child nodes are automatically	adapted during interaction to 
	emphasize the embedding in the hierarchy. The hierarchy view is linked to a traditional
	tree view. The value of this new visualization approach is demonstrated on segmented
	MRI brain data consisting of hundreds of cortical and sub-cortical structures.},
  images = {_images/balabanian08hierarchical1.jpg, _images/balabanian08hierarchical2.jpg, _images/balabanian08hierarchical3.jpg, _images/balabanian08hierarchical.wmv},
  thumbnails = {_images/balabanian08hierarchical1_thumb.jpg, _images/balabanian08hierarchical2_thumb.jpg, _images/balabanian08hierarchical3_thumb.jpg, _images/wmv_thumb.png},
  pdf = {pdfs/balabanian-2008-hvv-paper.pdf}	
}

@INPROCEEDINGS{Balabanian2008_3DPVT,
  author = {Jean-Paul Balabanian and Ivan Viola and Torsten M{\"o}ller
	and Eduard Gr{\"o}ller},
  title = {Temporal Styles for Time-Varying Volume Data},
  booktitle = {Proceedings of 3DPVT'08 - the Fourth International
	Symposium on 3D Data Processing, Visualization and Transmission},
  year = {2008},
  editor = {Stephan Gumhold and Jana Kosecka and Oliver Staadt},
  pages = {81--89},
  month = {June},
  abstract = {This paper introduces interaction mechanisms for conveying
	temporal characteristics of time-varying volume
	data based on temporal styles. We demonstrate the flexibility
	of the new concept through different temporal style
	transfer function types and we define a set of temporal compositors
	as operators on them. The data is rendered by a
	multi-volume GPU raycaster that does not require any grid
	alignment over the individual time-steps of our data nor a
	rectilinear grid structure. The paper presents the applicability
	of the new concept on different data sets from partial to full 
	voxel alignment with rectilinear and curvilinear grid layout.},  
  location = {Atlanta, USA}, 
  event = {3D Data Processing, Visualization and Transmission 2008}, 
  url = {http://www.cc.gatech.edu/research/reports/GT-IC-08-05},  
  pdf = {pdfs/Balabanian2008_3DPVT.pdf},
  thumbnails = {_images/balabanian2008_3dpvt_isabel_thumb.jpg, _images/balabanian2008_3dpvt_overview_thumb.jpg, _images/balabanian2008_3dpvt_poster_thumb.jpg},
  images = {_images/balabanian2008_3dpvt_isabel.jpg, _images/balabanian2008_3dpvt_overview.jpg, _images/balabanian2008_3dpvt_poster.jpg},
}