<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>3635</id>
    <completedYear>2012</completedYear>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>other</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Visualization in Connectomics</title>
    <identifier type="arxiv">1206.1428</identifier>
    <identifier type="doi">10.1007/978-1-4471-6497-5_21</identifier>
    <enrichment key="SourceTitle">Appeared in: Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization. Springer 2014, pp. 221-245</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Hanspeter Pfister</author>
    <author>Verena Kaynig</author>
    <author>Charl Botha</author>
    <author>Stefan Bruckner</author>
    <author>Vincent J. Dercksen</author>
    <author>Hans-Christian Hege</author>
    <author>Jos Roerdink</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="Neuro">Neuro</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>5219</id>
    <completedYear>2014</completedYear>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>221</pageFirst>
    <pageLast>245</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-09-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Visualization in Connectomics</title>
    <abstract language="eng">Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a complete map of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivity information from image data at macro-, meso- and microscales. We also discuss data integration and neural network modeling, as well as the visualization, analysis and comparison of brain networks.</abstract>
    <parentTitle language="eng">Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization</parentTitle>
    <identifier type="isbn">978-1-4471-6496-8</identifier>
    <identifier type="doi">10.1007/978-1-4471-6497-5_21</identifier>
    <identifier type="arxiv">1206.1428</identifier>
    <enrichment key="Series">Mathematics and Visualization</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Hanspeter Pfister</author>
    <submitter>Hans-Christian Hege</submitter>
    <editor>Charles D. Hansen</editor>
    <author>Verena Kaynig</author>
    <editor>Min Chen</editor>
    <author>Charl P. Botha</author>
    <editor>Christopher R. Johnson</editor>
    <author>Stefan Bruckner</author>
    <editor>Arie E. Kaufman</editor>
    <author>Vincent J. Dercksen</author>
    <editor>Hans Hagen</editor>
    <author>Hans-Christian Hege</author>
    <author>Jos B.T.M. Roerdink</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="Neuro">Neuro</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
</export-example>
