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Alexander Schäfer 0002

dblp:78/10557-2 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-6488-4739ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Theoretical computer science
1 paper
Computational geometry · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › medical visualization
brain network visualization
0.212014
Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain · IEEE Trans. Vis. Comput. Graph. 2014
Visualization and visual analytics › graph visualization
edge bundling
0.212014
Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain · IEEE Trans. Vis. Comput. Graph. 2014
Computational geometry
graph drawing
0.212014
Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain · IEEE Trans. Vis. Comput. Graph. 2014
Medical and health informatics › neuroimaging
functional brain connectivity
0.112014
Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain · IEEE Trans. Vis. Comput. Graph. 2014

Methods — techniques the papers use, named apart from their topics

mean-shift clustering · 0.6edge bundling · 0.6
YearPublicationVenuePosition
2014 Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain
abstract
Functional connectivity, a flourishing new area of research in human neuroscience, carries a substantial challenge for visualization: while the end points of connectivity are known, the precise path between them is not. Although a large body of work already exists on the visualization of anatomical connectivity, the functional counterpart lacks similar development. To optimize the clarity of whole-brain and complex connectivity patterns in three-dimensional brain space, we develop mean-shift edge bundling, which reveals the multitude of connections as derived from correlations in the brain activity of cortical regions.
Joachim Böttger, Alexander Schäfer 0002, Gabriele Lohmann, Arno Villringer, Daniel S. Margulies
IEEE Trans. Vis. Comput. Graph.2