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    Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice? 

    Röhlig, Martin; Stachs, Oliver; Schumann, Heidrun (The Eurographics Association, 2016)
    Visual analytics (VA) methods are valuable means for supporting the detection of diabetic neuropathy, the most common longterm complication of diabetes mellitus. We suggest two strategies for strengthening reliability, ...
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    Visual Eddy Analysis of the Agulhas Current 

    Raith, Felix; Röber, Niklas; Haak, Helmuth; Scheuermann, Gerik (The Eurographics Association, 2017)
    Large mesoscale eddies in the ocean can transport a substantial amount of heat and salt over large distances. Using highresolution ICON ocean simulation data, it is possible to detect and track eddies in the ocean and ...
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    Interactive Lens for Effective Time-Series Animation 

    Chen, Yang; Yang, Jing; Zhao, Ye (The Eurographics Association, 2017)
    We present a lens-based approach to explore animated data visualizations that involve time-series. The core of the approach lies in a novel combination of Lagrangian and Eulerian lenses, which allows us to leverage their ...
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    Visual Analysis of Optical Coherence Tomography Data in Ophthalmology 

    Röhlig, Martin; Rosenthal, Paul; Schmidt, Christoph; Schumann, Heidrun; Stachs, Oliver (The Eurographics Association, 2017)
    Optical coherence tomography (OCT) enables noninvasive high-resolution 3D imaging of the human retina and thus, plays a fundamental role in detecting a wide range of ocular diseases. Despite OCT's diagnostic value, managing ...
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    Visual Analytics for Multitemporal Aerial Image Georeferencing 

    Amor-Amorós, Albert; Federico, Paolo; Miksch, Silvia; Zambanini, Sebastian; Brenner, Simon; Sablatnig, Robert (The Eurographics Association, 2017)
    Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like ...
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    Combining Cluster and Outlier Analysis with Visual Analytics 

    Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W. (The Eurographics Association, 2017)
    Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...
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    Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology 

    Röhlig, Martin; Luboschik, Martin; Prakasam, Ruby Kala; Stachs, Oliver; Schumann, Heidrun (The Eurographics Association, 2017)
    Optical coherence tomography (OCT) enables noninvasive high-resolution imaging of the human retina and therefore, plays a fundamental role in detecting a wide range of ocular diseases. Yet, OCT data often vary in quality ...
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    Visual Analysis of Geo-spatial Data in 3D Terrain Environments using Focus+Context 

    Richter, Christian; Dübel, Steve; Schumann, Heidrun (The Eurographics Association, 2017)
    Visual analysis of geo-spatial data represented within a three-dimensional frame of reference is a challenging task. Focus+ Context is a common concept that aids this process. This paper addresses the question, how ...
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    ConTraffic Visual Analytics in Support to Customs Risk-Analysis 

    Poulymenopoulou, Mikaela; Tsois, Aris (The Eurographics Association, 2017)
    Customs risk analysis is crucial for detecting fraud and contraband goods in the massive flows of internationally traded goods. Most of non-bulk goods are transported in shipping containers and, as customs can control only ...
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    Interactive Level-of-Detail Visualization of 3D-Polarized Light Imaging Data Using Spherical Harmonics 

    Hänel, Claudia; Demiralp, Ali C.; Axer, Markus; Grässel, David; Hentschel, Bernd; Kuhlen, Torsten W. (The Eurographics Association, 2017)
    3D-Polarized Light Imaging (3D-PLI) provides data that enables an exploration of brain fibers at very high resolution. However, the visualization poses several challenges. Beside the huge data set sizes, users have to ...
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    AuthorAmemiya, Tomohiro (7)Ikei, Yasushi (7)Miksch, Silvia (7)Yem, Vibol (7)Kitazaki, Michiteru (6)Schumann, Heidrun (6)Gschwandtner, Theresia (5)Bernard, Jürgen (4)Ens, Barrett (4)Billinghurst, Mark (3)... View MoreSubject
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    centered computing (145)Visual analytics (37)Computing methodologies (33)Information visualization (26)Applied computing (23)Visualization (16)concepts and paradigms (13)Mixed / augmented reality (13)Scientific visualization (13)... View MoreDate Issued2019 (75)2018 (51)2017 (27)2020 (5)2016 (2)Has File(s)true (160)

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