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        "title": "Multi-Aspect Visualization: Going from Linked Views to Integrated Views",
        "date": "2010-10",
        "abstract": "This thesis is a delve into the matter of visualization integration. There are many\r\napproaches to visualizing volume data and often several of these approaches can\r\nappropriately be used at the same time to visualize di\u000berent aspects. The usual\r\nway is to visualize these aspects separately in di\u000berent views, but integrating\r\nthe visualizations into the same view can often be the superior approach. We\r\ndescribe the two most used approaches to visualizing several aspects at the same\r\ntime; linked views and integrated views. We describe some approaches to create\r\nintegrated visualizations by showing where in the visualization pipeline the integration\r\ntakes place. We present work produced by the author describing the\r\nintegrated visualizations developed.",
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        "date_end": "2009",
        "rigorosum": "2010-01-07",
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    {
        "id": "Balabanian-2010-IIV",
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        "title": "Interactive Illustrative Visualization of Hierarchical Volume Data",
        "date": "2010-06",
        "abstract": "In scientific visualization the underlying data often has an inherent\nabstract and hierarchical structure. Therefore, the same dataset\ncan simultaneously be studied with respect to its characteristics in\nthe three-dimensional space and in the hierarchy space. Often both\ncharacteristics are equally important to convey. For such scenarios\nwe explore the combination of hierarchy visualization and scientific\nvisualization, where both data spaces are effectively integrated.\nWe have been inspired by illustrations of species evolutions where\nhierarchical information is often present. Motivated by these traditional\nillustrations, we introduce integrated visualizations for hierarchically\norganized volumetric datasets. The hierarchy data is\ndisplayed as a graph, whose nodes are visually augmented to depict\nthe corresponding 3D information. These augmentations include\nimages due to volume raycasting, slicing of 3D structures, and indicators\nof structure visibility from occlusion testing. New interaction\nmetaphors are presented that extend visualizations and interactions,\ntypical for one visualization space, to control visualization parameters\nof the other space. Interaction on a node in the hierarchy influences\nvisual representations of 3D structures and vice versa. We\nintegrate both the abstract and the scientific visualizations into one\nview which avoids frequent refocusing typical for interaction with\nlinked-view layouts. We demonstrate our approach on different volumetric\ndatasets enhanced with hierarchical information.",
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        "authors": [
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        "booktitle": "Proceedings of Graphics Interface 2010",
        "date_from": "2010-05-31",
        "date_to": "2010-06-02",
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        "location": "Ottawa, Ontario, Canada",
        "pages_from": "137",
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        "research_areas": [
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        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/",
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    {
        "id": "Balabanian-2010-PSDSV",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
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        "title": "Proceedings of Schloss Dagstuhl Scientific Visualization Workshop, 2009 (published 2010)",
        "date": "2010",
        "abstract": "This paper describes the concept of A-space. A-space is the space where visualization algorithms\r\nreside. Every visualization algorithm is a unique point in A-space. Integrated visualizations can\r\nbe interpreted as an interpolation between known algorithms. The void between algorithms can\r\nbe considered as a visualization opportunity where a new point in A-space can be reconstructed\r\nand new integrated visualizations can be created.",
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        "issn": "1868-8977",
        "journal": "Schloss Dagstuhl Follow Ups",
        "number": "1",
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    {
        "id": "patel_2009_MC",
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        "title": "Moment Curves",
        "date": "2009-04",
        "abstract": "We define a transfer function based on the first and second statistical\r\nmoments. We consider the evolution of the mean and variance with\r\nrespect to a growing neighborhood around a voxel. This evolution\r\ndefines a curve in 3D for which we identify important trends and\r\nproject it back to 2D. The resulting 2D projection can be brushed\r\nfor easy and robust classification of materials and material borders.\r\nThe transfer function is applied to both CT and MR data.",
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        "authors": [
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        "booktitle": "Proceedings of the IEEE Pacific Visualization Symposium 2009",
        "date_from": "2009-04-20",
        "date_to": "2009-04-23",
        "editor": "Peter Eades, Thomas Ertl, Han-Wei Shen",
        "isbn": "978-1-4244-4404-5",
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        "location": "Peking, China",
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        "keywords": [
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            "Volume Classification",
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    {
        "id": "balabanian-2008-hvv",
        "type_id": "inproceedings",
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        "title": "Hierarchical Volume Visualization of Brain Anatomy",
        "date": "2008-10",
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        "booktitle": "VMV 2008, Vision, Modeling and Visualization",
        "date_from": "2008-10-08",
        "date_to": "2008-10-10",
        "editor": "Oliver Deussen, Daniel Keim, Dietmar Saupe",
        "isbn": "978-3-89838-609-8",
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        "location": "Konstanz, Deutschland",
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        "id": "balabanian-2008-tst",
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        "title": "Temporal Styles for Time-Varying Volume Data",
        "date": "2008-06",
        "abstract": "This paper introduces interaction mechanisms for conveying\r\ntemporal characteristics of time-varying volume\r\ndata based on temporal styles. We demonstrate the flexibility\r\nof the new concept through different temporal style\r\ntransfer function types and we define a set of temporal compositors\r\nas operators on them. The data is rendered by a\r\nmulti-volume GPU raycaster that does not require any grid\r\nalignment over the individual time-steps of our data nor a\r\nrectilinear grid structure. The paper presents the applicability\r\nof the new concept on different data sets from partial\r\nto full voxel alignment with rectilinear and curvilinear grid\r\nlayout.",
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        "booktitle": "Proceedings of 3DPVT",
        "date_from": "2008-06-18",
        "date_to": "2008-06-20",
        "editor": "Stephan Gumhold, Jana Kosecka and Oliver Staadt",
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        "location": "Atlanta, Georgia, USA",
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        "id": "balabanian-2007-ant",
        "type_id": "inproceedings",
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        "title": "Sonar Explorer: A New Tool for Visualization of Fish Schools from 3D Sonar Data",
        "date": "2007-05",
        "abstract": "We present a novel framework for analysis and visualization of fish schools in 3D sonar surveys. The 3D sonar\r\ntechnology is new and there have not been applications to visualize the data in 3D. We have created an application\r\ncalled Sonar Explorer that satisfies the requirements of domain scientists. Sonar Explorer provides easy\r\nand intuitive semi-automatic fish school tracking and survey map generation. The overall pipeline is described\r\nand all pipeline stages relevant for visualization are highlighted. We present techniques to deal with 3D sonar\r\ndata specifics: highly anisotropic volume data aligned on a curvilinear grid. Domain scientists provide initial\r\nimpressions on interaction and outlook.",
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