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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 ...
Visual Analytics of Simulation Ensembles for Network Dynamics
(The Eurographics Association, 2019)
A central question in the field of Network Science is to analyze the role of a given network topology on the dynamical behavior captured by time-varying simulations executed on the network. These dynamical systems are also ...
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 ...
Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections
(The Eurographics Association, 2020)
Visual analysis of multi-dimensional data is commonly supported by mapping the data to a 2D embedding. When analyzing a sequence of multi-dimensional data, e.g., in case of temporal data, the usage of 1D embeddings allows ...
Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles
(The Eurographics Association, 2019)
The aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. ...
A Visual Analytics Tool for Cohorts in Motion Data
(The Eurographics Association, 2019)
Motion data are curves over time in a 1D, 2D, or 3D space. To analyze sets of curves, machine learning methods can be applied to cluster them and detect outliers. However, often metadata or prior knowledge of the analyst ...
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, ...