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Visual Analysis of Geo-spatial Data in 3D Terrain Environments using Focus+Context
(The Eurographics Association, 2017)
Visual analysis of geo-spatial data represented within a three-dimensional frame of reference is a challenging task. Focus+ Context is a common concept that aids this process. This paper addresses the question, how ...
Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology
(The Eurographics Association, 2017)
Optical coherence tomography (OCT) enables noninvasive high-resolution imaging of the human retina and therefore, plays a fundamental role in detecting a wide range of ocular diseases. Yet, OCT data often vary in quality ...
Visual Analysis of Optical Coherence Tomography Data in Ophthalmology
(The Eurographics Association, 2017)
Optical coherence tomography (OCT) enables noninvasive high-resolution 3D imaging of the human retina and thus, plays a fundamental role in detecting a wide range of ocular diseases. Despite OCT's diagnostic value, managing ...
Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations
(The Eurographics Association, 2018)
Parameter analysis can be used to find out how individual parameters influence the output of an algorithm. We aim to support the visual parameter analysis of algorithms for the segmentation of time series. To this end, we ...
Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?
(The Eurographics Association, 2016)
Visual analytics (VA) methods are valuable means for supporting the detection of diabetic neuropathy, the most common longterm complication of diabetes mellitus. We suggest two strategies for strengthening reliability, ...
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series
(The Eurographics Association, 2018)
For the automatic segmentation of multivariate time series domain experts at first need to consider a huge space of alternative configurations of algorithms and parameters. We assume that only a small subset of these ...