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Uncertainty and Reproducibility in Medical Visualization
(The Eurographics Association, 2016)
The medical visualization pipeline is affected by various sources of uncertainty. Many errors may occur and several assumptions are made in the various processing steps from the image acquisition to the rendering of the ...
Projection-based Visualization of Dynamical Processes on Networks
(The Eurographics Association, 2012)
Dynamical processes on networks play an important role in systems biology and statistical physics. To understand these processes, it is essential to understand which topological properties of the network are the main factors ...
Colored Stochastic Shadow Mapping for Direct Volume Rendering
(The Eurographics Association, 2018)
Creating direct volume renderings with shadows can lead to a better perception of the rendered images. Deep shadow maps is an effective and efficient approach to compute shadows at interactive rates. We propose an alternative ...
Uncertainty Visualization of Stenotic Regions in Vascular Structures
(The Eurographics Association, 2017)
Stenosis refers to the thinning of the inner surface (lumen) of vascular structures. Detecting stenoses and correctly estimating their degree is crucial in clinical settings for proper treatment planning. Such a planning ...
Supervised Kernel Principal Component Analysis for Visual Sample-based Analysis of Gene Expression Data
(The Eurographics Association, 2013)
DNA microarray technology has enabled researchers to simultaneously investigate thousands of genes over hundreds of samples. Automatic classification of such data faces the challenge of dealing with smaller number of samples ...
Towards Automatic Extraction of the Myocardium in Temporal MRI Using Object-based Segmentation
(The Eurographics Association, 2013)
Visualizing the deformation of the myocardium over an entire heart cycle is essential for the assessment of local defects in the heart muscle. For this purpose, an automatic segmentation of the myocardium is a key requirement, ...
A Cluster Hierarchy-based Volume Rendering Approach for Interactive Visual Exploration of Multi-variate Volume Data
(The Eurographics Association, 2011)
Interactive visual analysis of volumetric data relies on intuitive, yet powerful mechanisms to generate transfer functions. For multi-variate data, traditional methods for interactive transfer functions generation are of ...
Visual Stratification for Epidemiological Analysis
(The Eurographics Association, 2017)
Investigating etiology of a disease depends on the combination of tacit medical knowledge and multivariate analysis on a wide array of collected data. Confounding variables may generate a bias when exploring disease ...
Corrected Uncertainty in Probabilistic Segmentation Using Local Statistics
(The Eurographics Association, 2013)
Probabilistic segmentation algorithms compute for each voxel and each segment of a medical imaging data set a probability that the voxel belongs to the segment. These per-voxel probability vectors are commonly used to ...
Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics
(The Eurographics Association, 2017)
The role of network topology on the dynamics in simulations that are executed on the network is a central question in the field of network science. However, the influence of the topology is affected by the global dynamical ...