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2022
Detecting critical points in 2D scalar field ensembles using Bayesian inference, Vietinghoff, Dominik, Böttinger Michael, Scheuermann Gerik, and Heine Christian , 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), April, (2022)
2021
An Extension of Empirical Orthogonal Functions for the Analysis of Time-Dependent 2D Scalar Field Ensembles, Vietinghoff, Dominik, Heine Christian, Böttinger Michael, and Scheuermann Gerik , 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), April, (2021)
Towards Modeling Visualization Processes as Dynamic Bayesian Networks, Heine, Christian , IEEE Transactions on Visualization and Computer Graphics, Volume 27, Issue 2, p.1000-1010, (2021)
Visual Analysis of Spatio-Temporal Trends in Time-Dependent Ensemble Data Sets on the Example of the North Atlantic Oscillation, Vietinghoff, Dominik, Heine Christian, Böttinger Michael, Maher Nicola, Jungclaus Johann, and Scheuermann Gerik , 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), April, (2021)
2020
Modeling How Humans Judge Dot-Label Relations in Point Cloud Visualizations, Reckziegel, Martin, Pfeiffer Linda, Heine Christian, and Jänicke Stefan , IEEE Transactions on Visualization and Computer Graphics, Volume 26, Issue 6, p.2144-2155, (2020)
Topological Subdivision Graphs for Comparative and Multifield Visualization, Heine, Christian, and Garth Christoph , Topological Methods in Data Analysis and Visualization V, Cham, (2020)
2016
A Survey of Topology-based Methods in Visualization, Heine, Christian, Leitte Heike, Hlawitschka Mario, Iuricich Federico, De Floriani Leila, Scheuermann Gerik, Hagen Hans, and Garth Christoph , Computer Graphics Forum, 06/2016, Volume 35, Issue 3, (2016)
2014
Vortex Detection in 4DMRI Data: Using Proper Orothogonal Decomposition for Improved Noise Robustness, Carnecky, Robert, Brunner Thomas, Born Silvia, Waser Jürgen, Heine Christian, and Peikert Ronny , EuroVis Short Papers, p.127-131, (2014)