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ORCIDScientific Visualization, 2014
- Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen:
Scientific Visualization. Mathematics and Visualization, Springer 2014, ISBN 978-1-4471-6496-8 - Georges-Pierre Bonneau, Hans-Christian Hege, Chris R. Johnson, Manuel M. Oliveira, Kristin Potter, Penny Rheingans, Thomas Schultz:
Overview and State-of-the-Art of Uncertainty Visualization. 3-27 - Manuel M. Oliveira:
Uncertainty Visualization and Color Vision Deficiency. 29-33 - Joshua A. Levine, David C. Thompson
, Janine C. Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay:
Analysis of Uncertain Scalar Data with Hixels. 35-44 - Tino Weinkauf:
On the (Un)Suitability of Strict Feature Definitions for Uncertain Data. 45-50 - Artem Amirkhanov, Stefan Bruckner, Christoph Heinzl, M. Eduard Gröller:
The Haunted Swamps of Heuristics: Uncertainty in Problem Solving. 51-60 - Penny Rheingans, Marie desJardins, Wallace Brown, Alex Morrow, Doug Stull, Kevin Winner:
Visualizing Uncertainty in Predictive Models. 61-69 - Lane Harrison, Aidong Lu:
Incorporating Uncertainty in Intrusion Detection to Enhance Decision Making. 71-78 - Thomas Schultz, Anna Vilanova, Ralph Brecheisen, Gordon L. Kindlmann:
Fuzzy Fibers: Uncertainty in dMRI Tractography. 79-92 - Gerik Scheuermann, Mario Hlawitschka, Christoph Garth, Hans Hagen:
Mathematical Foundations of Uncertain Field Visualization. 93-101 - Ingrid Hotz, Ronald Peikert:
Definition of a Multifield. 105-109 - Helwig Hauser, Hamish A. Carr:
Categorization. 111-117 - Min Chen, Klaus Mueller, Anders Ynnerman:
Fusion of Visual Channels. 119-127 - David H. S. Chung, Robert S. Laramee, Johannes Kehrer, Helwig Hauser:
Glyph-Based Multi-field Visualization. 129-137 - Eugene Zhang, Vijay Natarajan:
Derived Fields. 139-159 - Gunther H. Weber, Helwig Hauser:
Interactive Visual Exploration and Analysis. 161-173 - Lars Linsen:
Visual Exploration of Multivariate Volume Data Based on Clustering. 175-187 - Harald Obermaier, Ronald Peikert:
Feature-Based Visualization of Multifields. 189-196 - Hamish A. Carr:
Feature Analysis in Multifields. 197-204 - Robert S. Laramee, Hamish A. Carr, Min Chen, Helwig Hauser, Lars Linsen, Klaus Mueller, Vijay Natarajan, Harald Obermaier, Ronald Peikert, Eugene Zhang:
Future Challenges and Unsolved Problems in Multi-field Visualization. 205-211 - Arie E. Kaufman, Gerik Scheuermann, Jos B. T. M. Roerdink:
Overview of Visualization in Biology and Medicine. 215-219 - Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner, Vincent J. Dercksen, Hans-Christian Hege, Jos B. T. M. Roerdink:
Visualization in Connectomics. 221-245 - Heike Leitte, Miriah Meyer:
Visualization in Biology and Medicine. 247-263 - Charl P. Botha, Bernhard Preim, Arie E. Kaufman, Shigeo Takahashi, Anders Ynnerman:
From Individual to Population: Challenges in Medical Visualization. 265-282 - Åsmund Birkeland, Veronika Soltészová, Dieter Hönigmann, Odd Helge Gilja, Svein Brekke, Timo Ropinski, Ivan Viola:
The Ultrasound Visualization Pipeline. 283-303 - Anna Vilanova, Bernhard Preim, Roy van Pelt, Rocco Gasteiger, Mathias Neugebauer, Thomas Wischgoll:
Visual Exploration of Simulated and Measured Blood Flow. 305-324 - Christoph Garth, Kelly P. Gaither:
Large-Scale Integration-Based Vector Field Visualization. 327-338 - Janine Bennett, Attila Gyulassy, Valerio Pascucci, Peer-Timo Bremer:
Large Scale Data Analysis. 339-351 - David S. Ebert, Kelly P. Gaither, Yun Jang, Sonia Lasher-Trapp:
Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities. 353-360 - Jens H. Krüger, Markus Hadwiger:
Scalable Devices. 361-373 - Yun Jang:
Scalable Representation. 375-380 - Markus Flatken, Christian Wagner, Andreas Gerndt:
Distributed Post-processing and Rendering for Large-Scale Scientific Simulations. 381-398
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