Publications

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G
Geurts A.  2014.   Visueller Vergleich von Segmentierungsalgorithmen von medizinischen 3D-Bildern. TU Darmstadt. B. Sc.
Geurts A, Sakas GE, Kuijper A, Becker M, von Landesberger T.  2015.  Visual Comparison of 3D Medical Image Segmentation Algorithms Based on Statistical Shape Models. HCI 2015.
Gladisch S, Schumann H, Tominski C.  2013.  Navigation Recommendations for Exploring Hierarchical Graphs. Advances in Visual Computing.
Gladisch S.  2011.  Kantenbündelung in interaktiven und zoombaren Visualisierungsumgebungen.
Glaßer S.  2014.  Visual Analysis, Clustering, and Classification of Contrast-Enhanced Tumor Perfusion MRI Data. Otto-von-Guericke University Magdeburg. PhD
Glaser J.  2012.  Effiziente Visualisierung grosser Microarraydaten.
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
Glaßer S, Preim U, Oeltze S, Preim B.  2011.  The File-Card-Browser View for Breast DCE-MRI Data. Bildverarbeitung für die Medizin (accepted for publication).
Glaser J.  2012.  Einsatz von Visualisierungsmethoden zur Überprüfung von strukturveränderlichen Simulationen.
Glaßer S, Oeltze S, Preim U, Bjornerud A, Hauser H, Preim B.  2013.  Visual analysis of longitudinal brain tumor perfusion. Proc. of SPIE Medical Imaging.
Glaßer S, Preim U, Tönnies KD, Preim B.  2010.  A visual analytics approach to diagnosis of breast DCE-MRI data. Computer and Graphics. :602-611.
Glaßer S, Niemann U, Preim U, Spiliopoulou M, Preim B.  2013.  Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. Proc. of Bildverarbeitung für die Medizin.
Griss J, Jones AR, Sachsenberg T, Walzer M, Gatto L, Hartler J, Thallinger GG, Salek RM, Steinbeck C, Neuhauser N et al..  2014.  The mzTab Data Exchange Format: communicating MS-based proteomics and metabolomics experimental results to a wider audience. Mol. Cell. Prot.. :2765-2775.
Gruenefeld U.  2014.  A Computational Intelligence Framework for Multidimensional Regional Search. Department of Computing Science, Media Informatics and Multimedia Systems Group . MsC
Gschwandtner T, Schumann H, Bernard J, May T, Bögl M, Miksch S, Kohlhammer J, Röhlig M, Alsallakh B.  2015.  Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model. Eurographics Conference on Visualization (EuroVis 2015).
Gubichev A, Bedathur S, Seufert S, Weikum G.  2010.  Fast and Accurate Estimation of Shortest Paths in Large Graphs. Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM'2010), Toronto, Canada..
Gumhold S, Spehr M.  2011.  Directed Image Search with Local Parallel Feature Axes. The Second Workshop on Visual Content Identification and Search.
Günnemann S, Färber I, Mausbach T, Seidl T.  2014.  SMVC: Semi-Supervised Multi-View Clustering in Subspace Projections. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'14). 20:253-262.
Günnemann S, Färber I, Raubach S, Seidl T.  2013.  Spectral Subspace Clustering for Graphs with Feature Vectors. Proceedings of the IEEE International Conference on Data Mining (ICDM 2013).
Günnemann S, Färber I, Seidl T.  2012.  Multi-view clustering using mixture models in subspace projections. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :132-140.
Günnemann S, Färber I, Virochsiri K, Seidl T.  2012.  Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :352-360.
H
Haack F, Burrage K, Redmer R, Uhrmacher A.  2013.  Studying the Role of Lipid Rafts on Protein Receptor Bindings with Cellular Automata. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 10(3)
Haack F, Burrage K, Redmer R, Uhrmacher A.  2012.  Studying the role of lipid rafts on protein-receptor bindings with Cellular Automata. To Appear in IEEE/ACM Trans. Comput. Biol. Bioinformatics.
Hadlak S, Schulz H-J, Schumann H.  2011.  In Situ Exploration of Large Dynamic Networks. IEEE Transactions on Visualization and Computer Graphics. 17(12):2334--2343.
Hadlak S, Schumann H, Cap CH, Wollenberg T.  2013.  Supporting the Visual Analysis of Dynamic Networks by Clustering associated Temporal Attributes. IEEE Transactions on Visualization and Computer Graphics. 19(12):2267--2276.