Search Results - "Doleisch, H"

Interactive Visual Analysis of Perfusion Data by Oeltze, S., Doleisch, H., Hauser, H., Muigg, P., Preim, B.

“…Perfusion data are dynamic medical image data which characterize the regional blood flow in human tissue. These data bear a great potential in medical…”
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Visual Exploration of Nasal Airflow by Zachow, S., Muigg, P., Hildebrandt, T., Doleisch, H., Hege, H.-C.

“…Rhinologists are often faced with the challenge of assessing nasal breathing from a functional point of view to derive effective therapeutic interventions…”
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SeiVis: An Interactive Visual Subsurface Modeling Application by Hollt, T., Freiler, W., Gschwantner, F., Doleisch, H., Heinemann, G., Hadwiger, M.

“…The most important resources to fulfill today's energy demands are fossil fuels, such as oil and natural gas. When exploiting hydrocarbon reservoirs, a…”
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Scalable Hybrid Unstructured and Structured Grid Raycasting by Muigg, P., Hadwiger, M., Doleisch, H., Hauser, H.

“…This paper presents a scalable framework for real-time raycasting of large unstructured volumes that employs a hybrid bricking approach. It adaptively combines…”
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Angular brushing of extended parallel coordinates by Hauser, H., Ledermann, F., Doleisch, H.

“…In this paper we present angular brushing for parallel coordinates (PC) as a new approach to highlighting rational data-properties, i.e., features which - in a…”
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The State of the Art in Flow Visualisation: Feature Extraction and Tracking by Post, Frits H., Vrolijk, Benjamin, Hauser, Helwig, Laramee, Robert S., Doleisch, Helmut

“…Flow visualisation is an attractive topic in data visualisation, offering great challenges for research. Very large data sets must be processed, consisting of…”
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SimVis: Interactive visual analysis of large and time-dependent 3D simulation data by Doleisch, H.

“…SimVis is a novel technology for the interactive visual analysis of large and complex flow data which results from computational fluid dynamics (CFD)…”
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The State of the Art in Flow Visualization: Dense and Texture-Based Techniques by Laramee, Robert S., Hauser, Helwig, Doleisch, Helmut, Vrolijk, Benjamin, Post, Frits H., Weiskopf, Daniel

“…Flow visualization has been a very attractive component of scientific visualization research for a long time. Usually very large multivariate datasets require…”
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Interactive Volume Visualization of General Polyhedral Grids by Muigg, P., Hadwiger, M., Doleisch, H., Groller, E.

“…This paper presents a novel framework for visualizing volumetric data specified on complex polyhedral grids, without the need to perform any kind of a priori…”
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Hypothesis Generation in Climate Research with Interactive Visual Data Exploration by Kehrer, Johannes, Ladstädter, Florian, Muigg, Philipp, Doleisch, Helmut, Steiner, Andrea, Hauser, Helwig

“…One of the most prominent topics in climate research is the investigation, detection, and allocation of climate change. In this paper, we aim at identifying…”
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Visual analysis and exploration of fluid flow in a cooling jacket by Laramee, R.S., Garth, C., Doleisch, H., Schneider, J., Hauser, H., Hagen, H.

“…We present a visual analysis and exploration of fluid flow through a cooling jacket. Engineers invest a large amount of time and serious effort to optimize the…”
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Visualizing Statistical Properties of Smoothly Brushed Data Subsets by Unger, A., Muigg, P., Doleisch, H., Schumann, H.

“…In many application fields, the statistical properties of data sets are of great interest for data analysts. Since local variations can occur especially in…”
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Interactive seismic interpretation with piecewise global energy minimization by Höllt, T, Beyer, J, Gschwantner, F, Muigg, P, Doleisch, H, Heinemann, G, Hadwiger, M

“…Increasing demands in world-wide energy consumption and oil depletion of large reservoirs have resulted in the need for exploring smaller and more complex oil…”
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Interactive cross-detector analysis of vortical flow data by Burger, R., Muigg, P., Doleisch, H., Hauser, H.

“…In this paper we discuss the application of multiple linked views for advanced vortex investigation in flow data. Local feature detectors and additional…”
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