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Robin G. C. Maack

Robin Georg Claus Maack

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2020 – today

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2024
[j5]
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Robin G. C. Maack, Jonas Lukasczyk, Julien Tierny, Hans Hagen, Ross Maciejewski, Christoph Garth:
Parallel Computation of Piecewise Linear Morse-Smale Segmentations. IEEE Trans. Vis. Comput. Graph. 30(4): 1942-1955 (2024)
2023
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  - journals/cga/GillmannMRPS23
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Christina Gillmann, Robin Georg Claus Maack, Felix Raith, Juan F. Pérez, Gerik Scheuermann:
A Taxonomy of Uncertainty Events in Visual Analytics. IEEE Computer Graphics and Applications 43(5): 62-71 (2023)
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Robin G. C. Maack, Gerik Scheuermann, Hans Hagen, José Tiberio Hernández Peñaloza, Christina Gillmann:
Uncertainty-aware visual analytics: scope, opportunities, and challenges. Vis. Comput. 39(12): 6345-6366 (2023)
[i1]
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  - journals/corr/abs-2303-15491
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Robin G. C. Maack, Jonas Lukasczyk, Julien Tierny, Hans Hagen, Ross Maciejewski, Christoph Garth:
Parallel Computation of Piecewise Linear Morse-Smale Segmentations. CoRR abs/2303.15491 (2023)
2021
[j2]
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Robin G. C. Maack, Michael L. Raymer, Thomas Wischgoll, Hans Hagen, Christina Gillmann:
A framework for uncertainty-aware visual analytics of proteins. Comput. Graph. 98: 293-305 (2021)
2020
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Robin Georg Claus Maack, Dorothee Saur, Hans Hagen, Gerik Scheuermann, Christina Gillmann:
Towards Closing the Gap of Medical Visualization Research and Clinical Daily Routine. VisGap@Eurographics/EuroVis 2020: 25-33

2010 – 2019

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2019
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Robin Georg Claus Maack, Christina Gillmann, Hans Hagen:
Uncertainty-Aware Ramachandran Plots. PacificVis 2019: 227-231
2018
[j1]
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Christina Gillmann, Robin G. C. Maack, Tobias Post, Thomas Wischgoll, Hans Hagen:
An Uncertainty-aware Workflow for Keyhole Surgery Planning using Hierarchical Image Semantics. Vis. Informatics 2(1): 26-36 (2018)

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