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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 ...
Customizable Coordination of Independent Visual Analytics Tools
(The Eurographics Association, 2021)
While it is common to use multiple independent analysis tools in combination, it is still cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks addressing this issue exist, yet in order to use ...
Supporting Visual Analysis in Smart Meeting Rooms
(The Eurographics Association, 2012)
Smart meeting rooms as a specific form of multi-display environments (MDE) feature ad-hoc ensembles of heterogeneous devices and software tools to facilitate collective work and information sharing between multiple users. ...
Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics
(The Eurographics Association, 2014)
In this paper, we describe a step-wise approach to utilize ophthalmic markers for detecting early diabetic neuropathy (DN), the most common long-term complication of diabetes mellitus. Our approach is based on the Visual ...
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 ...
Towards Understanding Edit Histories of Multivariate Graphs
(The Eurographics Association, 2022)
The visual analysis of multivariate graphs increasingly involves not only exploring the data, but also editing them. Existing editing approaches for multivariate graphs support visual analytics workflows by facilitating a ...
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 ...