Y. Zhang, H. Williams, F. Schreiber, and K. Klein, “Visualising the Invisible : Exploring Approaches for Visual Analysis of Dynamic Airflow in Geographic Environments Using Sensor Data,” in
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W. Kerle-Malcharek, S. P. Feyer, F. Schreiber, and K. Klein, “GAV-VR: An Extensible Framework for Graph Analysis and Visualisation in Virtual Reality,” in
ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, J.-M. Normand, M. Sugimoto, and V. Sundstedt, Eds., The Eurographics Association, 2023. doi:
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M. Kern, S. Jaeger-Honz, F. Schreiber, and B. Sommer, “APL@voro—interactive visualization and analysis of cell membrane simulations,”
Bioinformatics, vol. 39, Art. no. 2, Feb. 2023, doi:
10.1093/bioinformatics/btad083.
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Y. Zhang, K. Klein, O. Deussen, T. Gutschlag, and S. Storandt, “Robust Visualization of Trajectory Data,”
it - Information Technology, vol. 64, pp. 181–191, 2022, doi:
10.1515/itit-2022-0036.
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D. Bienroth et al., “Spatially resolved transcriptomics in immersive environments,”
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10.1186/s42492-021-00098-6.
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L. Joos, S. Jaeger-Honz, F. Schreiber, D. A. Keim, and K. Klein, “Visual Comparison of Networks in VR,”
IEEE Transactions on Visualization and Computer Graphics, vol. 28, Art. no. 11, 2022, [Online]. Available:
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D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber, “Research Data Curation in Visualization : Position Paper.” IEEE, pp. 56–65, 2022. doi:
10.1109/beliv57783.2022.00011.
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K. Klein, M. Sedlmair, and F. Schreiber, “Immersive Analytics: An Overview,”
it - Information Technology, vol. 64, pp. 155–168, 2022, doi:
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F. Schreiber and D. Weiskopf, “Quantitative Visual Computing,”
it - Information Technology, vol. 64, pp. 119–120, 2022, doi:
10.1515/itit-2022-0048.
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K. Klein et al., “Visual analytics of sensor movement data for cheetah behaviour analysis,”
Journal of Visualization, 2021, doi:
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K. Klein, M. Aichem, Y. Zhang, S. Erk, B. Sommer, and F. Schreiber, “TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour,”
Journal of Visualization, 2021, doi:
10.1007/s12650-021-00746-2.
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M. Kraus et al., “Immersive Analytics with Abstract 3D Visualizations: A Survey,”
Computer Graphics Forum, 2021, doi:
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M. Aichem et al., “Visual exploration of large metabolic models,”
Bioinformatics, vol. 37, Art. no. 23, May 2021, doi:
10.1093/bioinformatics/btab335.
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M. Kraus, K. Klein, J. Fuchs, D. A. Keim, F. Schreiber, and M. Sedlmair, “The Value of Immersive Visualization,”
IEEE Computer Graphics and Applications (CG&A), vol. 41, Art. no. 4, 2021, doi:
10.1109/MCG.2021.3075258.
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K. Klein, D. Garkov, S. Rütschlin, T. Böttcher, and F. Schreiber, “QSDB—a graphical Quorum Sensing Database,”
Database, vol. 2021, Art. no. 2021, Nov. 2021, doi:
10.1093/database/baab058.
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K. Klein et al., “Fly with the flock : immersive solutions for animal movement visualization and analytics,”
Journal of the Royal Society Interface, vol. 16, Art. no. 153, 2019, doi:
10.1098/rsif.2018.0794.
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K. Klein, M. Aichem, B. Sommer, S. Erk, Y. Zhang, and F. Schreiber, “TEAMwISE: Synchronised Immersive Environments for Exploration and Analysis of Movement Data,” in
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10.1145/3356422.3356450.
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Y. Zhu et al., “Genome-scale Metabolic Modeling of Responses to Polymyxins in Pseudomonas Aeruginosa,”
GigaScience, vol. 7, Art. no. 4, 2018, doi:
10.1093/gigascience/giy021.
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K. Marriott et al.,
Immersive Analytics, vol. 11190. in Lecture Notes in Computer Science (LNCS), vol. 11190. Springer International Publishing, 2018. doi:
10.1007/978-3-030-01388-2.
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V. Yoghourdjian, T. Dwyer, K. Klein, K. Marriott, and M. Wybrow, “Graph Thumbnails: Identifying and Comparing Multiple Graphs at a Glance,”
IEEE Transactions on Visualization and Computer Graphics, vol. 24, Art. no. 12, 2018, [Online]. Available:
https://ieeexplore.ieee.org/document/8249874BibTeX
M. Ghaffar et al., “3D Modelling and Visualisation of Heterogeneous Cell Membranes in Blender,” in
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10.1145/3231622.3231639.
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M. Klapperstueck et al., “Contextuwall: Multi-site Collaboration Using Display Walls,”
Journal of Visual Languages & Computing, vol. 46, pp. 35–42, 2018, doi:
10.1016/j.jvlc.2017.10.002.
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M. de Ridder, K. Klein, and J. Kim, “A Review and Outlook on Visual Analytics for Uncertainties in Functional Magnetic Resonance Imaging,”
Brain Informatics, vol. 5, Art. no. 2, 2018, doi:
10.1186/s40708-018-0083-0.
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H. T. Nim et al., “Design Considerations for Immersive Analytics of Bird Movements Obtained by Miniaturised GPS Sensors,” in
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), Eurographics Association, 2017. doi:
10.2312/vcbm.20171234.
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M. de Ridder, K. Klein, and J. Kim, “Temporaltracks: Visual Analytics for Exploration of 4D fMRI Time-series Coactivation,” in
Proceedings of the Computer Graphics International Conference (CGI), X. Mao, D. Thalmann, and M. L. Gavrilova, Eds., ACM, 2017, pp. 13:1–13:6. doi:
10.1145/3095140.3095153.
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