Vitalis Wiens
Vitalis Wiens
University of Bonn, Fraunhofer IAIS
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TitleCited byYear
Visualizing tensor normal distributions at multiple levels of detail
A Abbasloo, V Wiens, M Hermann, T Schultz
IEEE transactions on visualization and computer graphics 22 (1), 975-984, 2015
Cnns enable accurate and fast segmentation of drusen in optical coherence tomography
SG Zadeh, MWM Wintergerst, V Wiens, S Thiele, FG Holz, RP Finger, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
Semantic zooming for ontology graph visualizations
V Wiens, S Lohmann, S Auer
Proceedings of the Knowledge Capture Conference, 4, 2017
Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes.
V Wiens, L Schlaffke, T Schmidt-Wilcke, T Schultz
EuroVis (Short Papers), 2014
Volumetric segmentation of complex bone structures from medical imaging data using reeb graphs
V Wiens
Central European Seminar on Computer Graphics for Students, 113-120, 2013
WebVOWL Editor: Device-Independent Visual Ontology Modeling.
V Wiens, S Lohmann, S Auer
International Semantic Web Conference (P&D/Industry/BlueSky), 2018
A Comparative User Evaluation on Visual Ontology Modeling Using Node-Link Diagrams.
MRA Asmat, V Wiens, S Lohmann
ISWC (Best Workshop Papers), 1-12, 2018
Visual Analytics of Group Differences in Tensor Fields: Application to Clinical DTI
A Abbasloo, V Wiens, T Schmidt-Wilcke, P Sundgren, R Klein, T Schultz
arXiv preprint arXiv:1711.08279, 2017
A Physical-Geometric Approach to Model Thin Dynamical Structures in CAD Systems
V Wiens, JPT Mueller, AG Weber, DL Michels
International Conference on Computational Science and Its Applications, 795-808, 2014
Demonstration of a Customizable Representation Model for Graph-Based Visualizations of Ontologies–GizMO⋆
V Wiens, M Galkin, S Lohmann, S Auer
Interactive Formation of Statistical Hypotheses in Diffusion Tensor Imaging
A Abbasloo, V Wiens, T Schmidt-Wilcke, P Sundgren, R Klein, T Schultz
Device-Independent Visual Ontology Modeling
V Wiens, S Lohmann, S Auer
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