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Schulz H-J, Uhrmacher A, Schumann H.  2011.  Visual Analytics for Stochastic Simulation in Cell Biology. Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (iKNOW'11).
Glaßer S, Schäfer S, Oeltze S, Preim U, Tönnies KD, Preim B.  2009.  A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. {Proc. on Vision, Modeling, and Visualization (VMV)}. :351–362. Abstract
Rosenbaum R, Schulz H-J, Hadlak S, Schumann H.  2012.  Visual Analysis of Spatiotemporal Multilevel Data. Proceedings of the Workshop GeoVA(t) - Geospatial Visual Analytics: Focus on Time.
von Landesberger T, Görner M, Schreck T.  2009.  Visual Analysis of Graphs with Multiple Connected Components. IEEE Symposium on Visual Analytics Science and Technology (VAST 2009).
Lex A, Schulz H-J, Streit M, Partl C, Schmalstieg D.  2011.  VisBricks: Multiform Visualization of Large, Inhomogeneous Data. IEEE Transactions on Visualization and Computer Graphics. 17(12):2291--2300.
Rumpf M, Wirth B.  2011.  Variational methods in shape analysis. Handbook of Mathematical Methods in Imaging. :1363–1401.
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Fischer F, Stoffel F, Mittelstädt S, Schreck T, Keim DA.  2014.  Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014. :301–302.
Stoffel F, Fischer F.  2014.  Using a knowledge graph data structure to analyze text documents (VAST challenge 2014 MC1). 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014. :331–332.
Judea A, Schütze H, Bruegmann S.  2014.  Unsupervised Training Set Generation for Automatic Acquisition of Technical Terminology in Patents. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. :290–300.
Judea A, Schütze H, Bruegmann S.  2014.  Unsupervised Training Set Generation for Automatic Acquisition of Technical Terminology in Patents. 25th International Conference on Computational Linguistics (Coling).
König T, Steffen J, Rak M, Neumann G, von Rohden L, Tönnies KD.  2014.  Ultrasound texture-based CAD system for detecting neuromuscular diseases. International Journal of Computer Assisted Radiology and Surgery. :1-11.
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