Direkt zum Inhalt


Veröffentlichungen/Publikationen

Veröffentlichungen

  • 42) The future of resilient food production - Current challenges and future opportunities, Benjamin Leiding, Stefan Paulus, Dirk J. Lehmann, Frontiers in Sustainable Food Systems, 2026  Link Paper     

  • 41) KI-Assistent in der Medizin – zuverlässig und sicher, Dirk J. Lehmann, Tobias Seeland, TI-Magazin (Technologie-Informationen), „ti“,DOI: 10.60479/8YGR-4T97, 2026  Link Paper     
  • 40) Interactive Composition Operators: An Alternative Approach for Selecting Linear Embedding Parameters, Dirk J. Lehmann, Kai M. Blum, Manuel Rubio-Sánchez, Konrad Simon, IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS), 2025  Link Paper   

  • 39) Uncovering Relations in High-Dimensional Behavioural Data of Drosophila Melanogaster, Michael Thane, Kai M. Blum, Dirk J. Lehmann, Vision, Modeling, and Visualization, 2025  Link Paper    Video  
  • 38) Mensch und KI - ein Szenario für das Expertentum, Dirk J. Lehmann, TI-Magazin (Technologie-Informationen), „ti“,DOI: 10.60479/S25N-DC64, 2025 Link Paper           

  • 37) CatNetVis: Semantic Visual Exploration of Categorical High-Dimensional Data with Force-Directed Graph Layouts, Michael Thane, Kai M. Blum, Dirk J. Lehmann, EuroVis, 2023  Download Paper             Download Zusatzmaterial            Video   

  • 36) High-Resolution Analysis of Individual D. Melanogaster Larvae Uncovers Individual Variability in the Neurogenetic modulation of locomotion, Michael Thane, Emmanouil Paisios, Torsten Stöter, Anna-Rosa Krüger, Sebastian Gläß, Anne-Kristin Dahse, Rudolf Schönheimer, Nicole Scholz, Bertram Gerber, Dirk J. Lehmann, Michael Schleyer, Published by Royal Society, Open Biology, 2023 Paper download

  • 35) Optimal Axes for Data Value Estimation in Star Coordinates and Radial Axes Plots, M. Rubio-Sánchez, D. J. Lehmann, A. Sanchez and J. L. Rojo Álvarez; Computer Graphics Forum (EuroVis), 2021 Paper download

  • 34) Meta-Parameter Selection for Embedding Generation of Latency Spaces in Auto Encoder Analytics 
    Maria Walch, Amala Paulson, Dirk J. Lehmann and Peter Schichtel; International conference on Time Series and Forecasting (ITISE) and at Contribution to Statistics (Springer), 2021 Paper download

  • 33) Insight Beyond Numbers: The Impact of Qualitative Factors on Visual Data Analysis B. Karer, H. Hagen and D. J. Lehmann; IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST), 2020 Paper download

  • 32) Interactive Visual Exploration of Local Patterns in Large Scatterplot Spaces; M. Chegini, L. Shao, R. Gregor, D. J. Lehmann, K. Andrews and T. Schreck; Computer Graphics Forum (EuroVis), 2018 Paper download

  • 31) Scaled Radial Axes for Interactive Visual Feature Selection: A Case Study for Analyzing Chronic Conditions, A. Sanchez, C. Soguero-Ruiz, I. Mora-Jiménez, F. J. Rivas-Flores, D. J. Lehmann and M. Rubio-Sánchez;  
    Expert Systems With Applications, 2018 Paper download

  • 30) Correlated Point Sampling for Geospatial Scalar Field Visualization; R. Roveri, D. J. Lehmann, M. Gross and T. Günther; Vision, Modeling and Visualization, 2018 Paper download

  • 29) Understanding a sequence of sequences: Visual exploration of categorical states in lake sediment cores, Andrea Unger, Nadine Dräger, Mike Sips and Dirk J. Lehmann; IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST), 2017 Paper download

  • 28) Visual Exploration of Global Trade Networks with Time-Dependent and Weighted Hierarchical Edge Bundles on GPU, Johannes Hofmann, Michael Groessler, Peter-Paul Pichler and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017 Paper download

  • 27) Interactive Regression Lens for Exploring Scatter Plots, Lin Shao, Aishwarya Mahajan, Tobias Schreck and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017 Paper download

  • 26) Adaptable Radial Axes Plots for Improved Multivariate Data Visualization, Manuel Rubio-Sanchez, Alberto Sanchez and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017 Paper download

  • 25)  Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High-Dimensional Data, Yunhai Wang, Jingting Li, Feiping Nie, Holger Theisel, Minglun Gong and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017 Paper download

  • 24) The LloydRelaxer: An Approach to Minimize Scaling Effects for Multivariate Projections, Dirk J. Lehmann and Holger Theisel, IEEE Transactions on Visualization and Computer Graphics, 2017 Paper download

  • 23) Interaction Concepts for Collaborative Visual Analysis of Scatterplots on Large Vertically-Mounted High-Resolution Multi-Touch Displays, Chegini Mohammad, Lin Shao, Tobias Schreck, Keith Andrews and Dirk J. Lehmann, Proc. Forum Medientechnik (FMT), 2017 Paper download

  • 22) Discriminative Star Coordinates, Y. Wang, F. Nie, D. J. Lehmann and M. Gong, Technical Report FIN-02-2016, University Magdeburg, 2016 Paper download

  • 21) General Projective Maps for Multidimensional Data Projection, D. J. Lehmann and H. Theisel, Computer Graphics Forum (Proc. Eurographics), 2016 Paper download

  • 20) Optimal Sets of Projections of High-Dimensional Data, D. J. Lehmann and H. Theisel, IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Information Visualization), 2015 Paper download

  • 19) Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data, D. J. Lehmann, F. Kemmler, T. Zhyhalava, M. Kirschke and H. Theisel, Computer Graphics Forum (Proc. EuroVis), 2015 Paper download

  • 18) A Study on Quality Metrics vs. Human Perception: Can Visual Measures Help us to Filter Visualizations of Interest?, D. J. Lehmann, S. Hundt and H. Theisel, Journal of Information Technology: Special Issue Visual Analytics, 2015 Paper download

  • 17) Density Difference Detection with Application to Exploratory Visualization, M. Rak, T. König, J. Steffen, D. J. Lehmann and K.-D. Tönnies, Pattern Recognition: Applications and Methods, 2015 Paper download

  • 16) Sparse Representation and Visualization for Direct Numerical Simulation of Premixed Combustion, T. Oster, D. J. Lehmann, G. Fru, H. Theisel and D. Thévenin, Computer Graphics Forum (In Proc. EuroVis), 2014 Paper download

  • 15) Blood Flow Clustering and Applications in Virtual Stenting of Intracranial Aneurysms, S. Oeltze, D. J. Lehmann, A. Kuhn, G. Janiga, H. Theisel and B. Preim, IEEE Transactions on Visualization and Computer Graphics, 2014 Paper download

  • 14) Orthographic Star Coordinates, D. J. Lehmann and H. Theisel, IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Information Visualization), 2013, Paper download

  • 13) Reflected Vector Fields for Finding FTLE Ridges, M. Schulze, C. Roessl, D. J. Lehmann and H. Theisel, Technical Report FIN-03-2013, Otto-von-Guericke-University, Magdeburg, 2013 Paper download

  • 12) Selecting Coherent and Relevant Plots in Large Scatterplot Matrices, D. J. Lehmann, G. Albuquerque, M. Eisemann, M. Magnor and H. Theisel, Computer Graphics Forum, 2012 Paper download

  • 11) Automatic Detection and Visualization of Qualitative Hemodynamic Characteristics in Cerebral Aneurysms, R. Gasteiger, D. J. Lehmann, R. van Pelt, G. Janiga, O. Beuing, A. Vilanova, H. Theisel and B. Preim, IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization), 2012 Paper download

  • 10) Automating Transfer Function Design with Valley Cell-Based Clustering of 2D Density Plots, Y. Wang, J. Zhang, D. J. Lehmann, H. Theisel and X. Chi, Computer Graphics Forum (In Proc. EuroVis), 2012 Paper download

  • 9) Semi-Automatic Classification of Weather Maps, G. Albuquerque, D. J. Lehmann, T. Rodermund, M. Eisemann, T. Nocke, M. Magnor and H. Theisel, Technical Report-3-17, TU Braunschweig, 2012 Paper download

  • 8) Evaluation of Streamline Clustering Techniques for Blood Flow Data, S. Oeltze, D. J. Lehmann, H. Theisel and B. Preim, Technical Report FIN-06-2012, Otto-von-Guericke-University, Magdeburg, 2012 Paper download

  • 7) Features in Continuous Parallel Coordinates, D. J. Lehmann and H. Theisel, IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Visualization), 2011 Paper download

  • 6) A Clustering-based Visualization Technique to Emphasize Meaningful Regions of Vector Fields, A. Kuhn, D. J. Lehmann, R. Gaststeiger, M. Neugebauer, B. Preim and H. Theisel, Proc. Vision, Modeling and Visualization (VMV), 2011 Paper download

  • 5) Discontinuities in Continuous Scatterplots, D. J. Lehmann and H. Theisel, IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Visualization), 2010 Paper download

  • 4) Improving the Visual Analysis of High-dimensional Datasets Using Quality Measures, Georgia Albuquerque, Martin Eisemann, Dirk J. Lehmann, Holger Theisel and Marcus Magnor, Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (IEEE VAST), 2010 Paper download

  • 3) Visualisierung und Analyse multidimensionaler Datensätze, D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. Keim, H. Schumann, M. Magnor and H. Theisel, Springer Berlin / Heidelberg, Informatik-Spektrum, 2010 Paper download

  • 2) Quality-Based Visualization Matrices, G. Albuquerque, M. Eisemann, D. J. Lehmann, H. Theisel and M. Magnor, Proceedings of Vision, Modeling and Visualization (VMV), 2009 Paper download

  • 1) Reconstruction of Blood Vessels from Neck CT Datasets using Stable 3D Mass-Spring Models, Jana Dornheim, Dirk J. Lehmann, Lars Dornheim, Bernhard Preim and Gero Strauss, VCBM, 2008 Paper download