List of publications

• 2024
• 2023
• 2022
• 2021
• 2020
• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013
• 2012
• 2011
• 2010
• 2009
• 2008
• 2007
• 2006
• 2005
• 2004
• 2003
• 2002

2024

• Rave, Hennes, Molchanov, Vladimir, and Linsen, Lars. 2024. “Uniform Sample Distribution in Scatterplots via Sector-based Transformation.” contribution to the IEEE Visualization and Visual Analytics (VIS), St. Pete Beach, Florida doi: 10.1109/VIS55277.2024.00039.
• Derstroff, Adrian, Leistikow, Simon, Nahardani, Ali, Gruen, Katja, Franz, Marcus, Hoerr, Verena, and Linsen, Lars. 2024. “Interactive visual formula composition of multidimensional data classifiers.” Information Visualization doi: 10.1177/14738716241270288.
• Rave, Hennes, Evers, Marina, Gerrits, Tim, and Linsen, Lars. 2024. “Region-based Visualization in Hierarchically Clustered Ensemble Volumes.” contribution to the International Symposium on Vision, Modeling, and Visualization (VMV 2024), Munich doi: 10.2312/vmv.20241206.
• Evers, Marina, Leistikow, Simon, Rave, Hennes, and Linsen, Lars. 2024. “Interactive Visual Analysis of Spatial Sensitivities.” IEEE Transactions on Visualization and Computer Graphics: 1–15. doi: 10.1109/TVCG.2024.3433001.
• Rave, Hennes, Molchanov, Vladimir, and Linsen, Lars. 2024. “De-cluttering Scatterplots with Integral Images.” IEEE Transactions on Visualization and Computer Graphics: 1–13. doi: 10.1109/TVCG.2024.3381453.
• Evers, Marina, Derstroff, Adrian, Leistikow, Simon, Schneider, Tom, Mallepree, Larissa, Stampke, Jan, Leisgang, Moritz, Sprafke, Sebastian, Schuhl, Melina, Krefft, Niklas, Droese, Felix, and Linsen, Lars. 2024. “Visual analytics of soccer player performance using objective ratings.” Information Visualization, № 1–15 doi: 10.1177/14738716231220539.
• Borrelli, Gabriel, Evers, Marina, and Linsen, Lars. 2024. “Efficient Adaptive Multiresolution Aggregations of Spatio-temporal Ensembles.” contribution to the EuroVis, Odense doi: 10.2312/pgv.20241128.

2023

• Borrelli, Gabriel, Hagemann, Lars, Steinkühler, Jannik, Derstroff, Adrian, Evers, Marina, Huesmann, Karim, Leistikow, Simon, Rave, Hennes, Gol, Reyhaneh Sabbagh, and Linsen, Lars. 2023. “2022 IEEE Scientific Visualization Contest Winner: Multifield Analysis of Vorticity-Driven Lateral Spread in Wildfire Ensembles.” IEEE Computer Graphics and Applications, № 44 (1): 40–49. doi: 10.1109/MCG.2023.3310298.
• Evers, Marina, Böttinger, Michael, and Linsen, Lars. 2023. “Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles.” in Workshop on Visualisation in Environmental Sciences (EnvirVis), edited by Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer and Dirk. Eindhoven: Eurographics Association. doi: 10.2312/envirvis.20231108.

2022

• Evers, M, and Linsen, L. 2022. “Multi-dimensional parameter-space partitioning of spatio-temporal simulation ensembles.” Computers and Graphics, № 104: 140–151. doi: 10.1016/j.cag.2022.04.005.
• Evers, M, Herick, M, Molchanov, V, and Linsen, L. 2022. “Coherent Topological Landscapes for Simulation Ensembles.” in Computer Vision, Imaging and Computer Graphics Theory and Applications, edited by Bouatouch K. et al.. Düsseldorf: Springer VDI Verlag.
• Schwarz, C, Buchholz, R, Jawad, M, Hoesker, V, Terwesten-Solé, C, Karst, U, Linsen, L, Vogl, T, Hoerr, V, Wildgruber, M, and Faber, C. 2022. “Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding.” ACS Infectious Diseases, № 8 (2): 360–372. doi: 10.1021/acsinfecdis.1c00485.
• Matute J., Linsen L.. 2022. “Evaluating Data-type Heterogeneity in Interactive Visual Analyses with Parallel Axes.” Computer Graphics Forum, № 41 (1): 335–349. doi: 10.1111/cgf.14438.
• Nahardani, Ali, Leistikow, Simon, Grün, Katja, Krämer, Martin, Herrmann, Karl-Heinz, Schrepper, Andrea, Jung, Christian, Moradi, Sara, Schulze, Paul Christian, Linsen, Lars, Reichenbach, Jürgen R, Hoerr, Verena, and Franz, Marcus. 2022. “Pulmonary Arteriovenous Pressure Gradient and Time-Averaged Mean Velocity of Small Pulmonary Arteries Can Serve as Sensitive Biomarkers in the Diagnosis of Pulmonary Arterial Hypertension: A Preclinical Study by 4D-Flow MRI.” Diagnostics, № 12 (1): 58–-. doi: 10.3390/diagnostics12010058.
• Rave, H., Fincke, J., Averkamp, S., Tangerding, B., Wehrenberg, L.P., Gerrits, T., Huesmann, K., Leistikow, S., and Linsen, L. 2022. “Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data.” IEEE Computer Graphics and Applications, № 42 (4): 80–88. doi: 10.1109/MCG.2021.3098096.
• Derstroff, A, Leistikow, S, Nahardani, A, Ebrahimi, M, Hoerr, V, and Linsen, L. 2022. “Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates.” contributed to the EuroVis 2022, Rom
• Evers, Marina, Wittkowski, Raphael, and Linsen, Lars. 2022. “ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures.” in 2022 IEEE Visualization and Visual Analytics (VIS), edited by -. New York City: Wiley-IEEE Press. doi: 10.1109/VIS54862.2022.00039.
• Heimes, Karl, Evers, Marina, Gerrits, Tim, Gyawali, Sandeep, Sinden, David, Preusser, Tobias, and Linsen, Lars. 2022. “Studying the effect of tissue properties on radiofrequency ablation by visual simulation ensemble analysis.” in Eurographics Workshop on Visual Computing for Biology and Medicine, edited by Renata G. Raidou, Björn Sommer, Torsten W. Kuhlen, Michael Krone, Thomas Schultz and Hsiang-Yun Wu. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20221187.
• Borrelli, G., Hagemann, L., Steinkühler, J., Derstroff, A., Evers, M., Huesmann, K., Leistikow, S., Rave, H., Gol, R.S., and Linsen, L. 2022. “How Wildfires Spread and Why: Visual Multi-field Analysis of Vorticity-driven Lateral Spread Ensembles.” in Proceedings of IEEE VIS 2022 - Winner of the SciVis Contest 2022, edited by -. New York City: Wiley-IEEE Press.
• Nahardani, A., Krämer, M., Ebrahimi, M., Herrmann, K.-H., Leistikow, S., Linsen, L., Moradi, S., Reichenbach, J.R., and Hoerr, V. 2022. “Time-resolved velocity mapping at high magnetic fields: A preclinical comparison between stack-of-stars and cartesian 4D-Flow.” Frontiers in Physics, № No. 10: 925 doi: 10.3389/fphy.2022.963807.

2021

• Huesmann, Karim, Rodriguez, Luis Garcia, Linsen, Lars, and Risse, Benjamin. 2021. “The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.” in The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks Basel: Springer International Publishing.
• Nahardani, A, Leistikow, S, Krämer, M, Herrmann, KH, Zhao, WT, Güllmar, D, Linsen, L, Reichenbach, JR, and Hoerr, V. 2021. “The impact of compressed sensing L1- ESPIRiT reconstruction on the velocity vector fields acquired by 4D-flow MRI: A comparison to L2-ESPIRiT.” contribution to the Proc. Intl. Soc. Mag. Reson. Med. 29, Virtual
• Evers, M, Huesmann, K, and Linsen, L. 2021. “Uncertainty-aware Visualization of Regional Time Series Correlation in Spatio-temporal Ensembles.” Computer Graphics Forum, № 40 (3): 519–530. doi: 10.1111/cgf.14326.
• Rave, Hennes, Molchanov, Vladimir, and Linsen, Lars. 2021. “Axes Bundling and Brushing in Star Coordinates.” contribution to the Vision, Modeling and Visualization, Dresden doi: 10.2312/vmv.20211365.
• Evers, M, Leistikow, S, Derstroff, A, Gerrits, T, Huesmann, K, Hollenbeck, J, Seljami, J, and Linsen, L. 2021. “Visual Analysis of Spatio-temporal Features in Multi-field Earth's Mantle Convection Simulations.” in Proceedings of IEEE VIS 2021, edited by -. New York City: Wiley-IEEE Press.

2020

• Jawad, M, Soltwisch, J, Dreisewerd, K, and Linsen, L. 2020. “Interactive Visual Analysis of Mass Spectrometry Imaging Data Using Linear and Non-Linear Embeddings.” Information, № 11 (12): 575. doi: 10.3390/info11120575.
• Boshe-Plois, S, Ngo, Q.Q., Albers, P, and Linsen, L. 2020. “Visual Analysis of Billiard Dynamics Simulation Ensembles.” in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020), Vol. 3: IVAPP , edited by A Kerren, C Hurter and J Braz. Setúbal: SciTePress.
• Leistikow, S, Nahardani, A, Hoerr, V, and Linsen, L. 2020. “Interactive Visual Similarity Analysis of Measured and Simulated Multi-field Tubular Flow Ensembles.” in 10th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2020, Tübingen, Germany, September 28 - October 1, 2020, edited by B Kozlíková, M Krone, NN Smit, K Nieselt and RG Raidou. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20201180.
• Leistikow, S, Huesmann, K, Fofonov, A, and Linsen, L. 2020. “Aggregated Ensemble Views for Deep Water Asteroid Impact Simulations.” IEEE Computer Graphics and Applications, № 40 (1): 72–81. doi: 10.1109/MCG.2019.2915215.
• Jeaneth, Machicao*, Quang, Ngo* Quynh, Vladimir, Molchanov, Lars, Linsen, and Odemir, Bruno. 2020. “A Visual Analysis Method of Randomness for Classifying and Ranking Pseudo-random Number Generators.” Information Sciences, № *Equally contributing first authors doi: 10.1016/j.ins.2020.10.041.
• Ngo, QQ, and Linsen, L. 2020. “Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections.” in Vision, Modeling, and Visualization, edited by J Krüger, M Niessner and J Stückler. Eindhoven: Eurographics Association. doi: 10.2312/vmv.20201190.
• Jawad, M, Molchanov, V, and Linsen, L. 2020. “A Reproducibility Study for Visual MRSI Data Analytics.” in Computer Vision, Imaging and Computer Graphics Theory and Applications Basel: Springer International Publishing. doi: 10.1007/978-3-030-41590-7_15.
• Herick, M, Molchanov, V, and Linsen, L. 2020. “Temporally Coherent Topological Landscapes for Time-varying Scalar Fields.” in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications -- Volume 3: IVAPP, Vol. 3 Setúbal: SciTePress. doi: 10.5220/0008956300540061.
• Molchanov, V, and Linsen, L. 2020. “Smooth Map Deformation Using Integral Images.” Journal of WSCG, № 1-2: 18–26.
• Molchanov, V, Hamid, S, and Linsen, L. 2020. “Efficient Morphing of Shape-preserving Star Coordinates.” in 2020 IEEE Pacific Visualization Symposium (PacificVis) New York City: Wiley-IEEE Press. doi: 10.1109/PacificVis48177.2020.8199.
• Shahid, MLUR, Molchanov, V, Mir, J, Shaukat, F, and Linsen, L. 2020. “Interactive visual analytics tool for multidimensional quantitative and categorical data analysis.” Information Visualization, № 2020: 1–13. doi: 10.1177/1473871620908034.
• Nahardani, A, Leistikow, S, Grün, K, Krämer, M, Herrmann, KH, Schrepper, A, Bauer, R, Jung, C, Berndt, A, Schulze, PC, Linsen, L, Reichenbach, JR, Franz, M, and and, Hoerr V. 2020. “Evaluation of potential hemodynamic biomarkers in experimental PAH using center-out stack-of-stars 4D phase contrast velocity mapping.” contribution to the ISMRM 2020, Virtual
• Rave, H., Fincke, J., Averkamp, S., Tangerding, B., Wehrenberg, L.P., Gerrits, T., Huesmann, K., Leistikow, S., and Linsen, L. 2020. “Interactive Visual Analysis of Oceanographic Simulation Ensemble Data.” in Proceedings of IEEE VIS 2020 - Winner of the 2020 SciVis Contest 2020, edited by -. New York City: Wiley-IEEE Press.
• Huesmann, K, Klemm, S, Linsen, L, and Risse, B. 2020. Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization, arXiv e-print:2002.09237: CoRR.

2019

• Hesse-Edenfeld, C, Steinke, MJ, Santalidis, N, Huesmann, K, Leistikow, S, and Linsen, L. 2019. “Interactive Multi-Level Visualization of Combined Particle and Multi-Field Cosmology Data.” in IEEE VIS 2019 - SciVis Contest (Honorable Mention)
• Last, P, Hering-Bertram, M, and Linsen, L. 2019. “Interactive History-based Vessel Movement Prediction.” IEEE Intelligent Systems, № 2019: 1–1. doi: 10.1109/MIS.2019.2954509.
• Sheharyar, A, Ruh, A, Valkov, D, Markl, M, Bouhali, O, and Linsen, L. 2019. “A Visual Analytics Tool for Cohorts in Motion Data.” in Vision, Modeling and Visualization, edited by H Schulz, M Teschner and M Wimmer. Eindhoven: Eurographics Association. doi: 10.2312/vmv.20191329.
• Ngo, Q.Q., Hütt, M., and Linsen, L. 2019. “Visual Analytics of Simulation Ensembles for Network Dynamics.” in Vision, Modeling and Visualization, edited by H Schulz, M Teschner and M Wimmer. Eindhoven: Eurographics Association. doi: 10.2312/vmv.20191322.
• Valkov, D, Mantler, A, and Linsen, L. 2019. “Haptic Prop: A Tangible Prop for Semi-passive Haptic Interaction.” in 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) doi: 10.1109/VR.2019.8797718.
• Valkov, D, and Linsen, L. 2019. “Vibro-tactile Feedback for Real-world Awareness in Immersive Virtual Environments.” in 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) doi: 10.1109/VR.2019.8798036.
• Ristovski, G, Garbers, N, Hahn, HK, Preusser, T, and Linsen, L. 2019. “Uncertainty-aware visual analysis of radiofrequency ablation simulations.” Computers and Graphics, № 79: 24–35. doi: 10.1016/j.cag.2018.12.005.
• Cláudio, AP, Bechmann, D, Richard, P, Yamaguchi, T, Linsen, L, Telea, A, Imai, FH, and Trémeau, Aeds. 2019. Communications in Computer and Information Science, Vol. 983, Computer Vision, Imaging and Computer Graphics - Theory and Applications - 12th International Joint Conference, {VISIGRAPP} 2017, Porto, Portugal, February 27 - March 1, 2017, Revised Selected Papers, Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-3-030-12209-6.
• Evers, M, and Linsen, L. 2019. “Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations.” in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, {VISIGRAPP} 2019, Volume 3: IVAPP, Prague, Czech Republic, February 25-27, 2019. doi: 10.5220/0007344702160224.
• Kosara, R, Lawonn, K, Linsen, L, and Smit, N, eds. 2019. Communications in Computer and Information Science, EuroVis Workshop on Trustworthy Visualization (TrustVis), N/A: Selbstverlag / Eigenverlag.
• Gebauer, E, and Linsen, L. 2019. “Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles.” in EuroVis Workshop on Trustworthy Visualization (TrustVis), edited by R Kosara, K Lawonn, L Linsen and N Smit. Eindhoven: Eurographics Association. doi: 10.2312/trvis.20191184.
• Kocev, B, Hahn, HK, Linsen, L, Wells, WM, and Kikinis, R. 2019. “Uncertainty-aware asynchronous scattered motion interpolation using Gaussian process regression.” Computerized Medical Imaging and Graphics, № 72: 1–12. doi: 10.1016/j.compmedimag.2018.12.001.
• Sheharyar, A, Ruh, A, Aristova, M, Scott, M, Jarvis, K, Elbaz, M, Dolan, R, Schnell, S, Lin, K, Carr, J, Markl, M, Bouhali, O, and Linsen, L. 2019. “Visual analysis of regional myocardial motion anomalies in longitudinal studies.” Computers and Graphics, № 83: 62–76. doi: 10.1016/j.cag.2019.07.004.
• Antonov, A, Lohmann, G, Ionita, M, Dima, M, and Linsen, L. 2019. “An interactive visual analysis tool for investigating teleconnections in climate simulations.” Environmental Earth Sciences, № 78 (10): 294. doi: 10.1007/s12665-019-8295-z.
• Selinger, E, and Linsen, L. 2019. “Efficient Error-bounded Curvature Optimization for Smooth Machining Paths.” Journal of Virtual Reality and Broadcasting, № 15(2018) (2) doi: 10.20385/1860-2037/15.2018.2.
• Jawad., M, Molchanov., V, and Linsen., L. 2019. “Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis.” in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, Setúbal: SciTePress. doi: 10.5220/0007571801180128.
• Matute, J, and Linsen, L. 2019. “Hinted Star Coordinates for Mixed Data.” Computer Graphics Forum, № 39 (1) doi: 10.1111/cgf.13666.
• Matute, J, Fischer, M, Telea, AC, and Linsen, L. 2019. “Scatterplot Summarization by Constructing Fast and Robust Principal Graphs from Skeletons.” contribution to the PacificVis 2019, Bangkok, Thailand
• Hamid, S, Derstroff, A, Klemm, S, Ngo, Q.Q., Jiang, X, and Linsen, L. 2019. “Visual ensemble analysis to study the influence of hyper-parameters on training deep neural networks.” in Machine Learning Methods in Visualisation for Big Data, edited by Daniel and Nabney Archambault and Jaakko Ian and Peltonen. Eindhoven: Eurographics Association. doi: 10.2312/mlvis.20191160.

2018

• Matute, J., Telea, A., and Linsen, L. 2018. “Skeleton-Based Scagnostics.” IEEE Transactions on Visualization and Computer Graphics, № 24 (1): 542–552. doi: 10.1109/TVCG.2017.2744339.
• Molchanov, V., and Linsen, L. 2018. “Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data.” Information, № 9 (7) doi: 10.3390/info9070156.
• Rosenthal, P, Molchanov, V, and Linsen, L. 2018. “SmoothIsoPoints: Making PDE-based Surface Extraction from Point-based Volume Data Fast.” in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP Setúbal: SciTePress. doi: 10.5220/0006537200170028.
• Molchanov, V, and Linsen, L. 2018. “Overcoming the Curse of Dimensionality When Clustering Multivariate Volume Data.” in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP Setúbal: SciTePress. doi: 10.5220/0006541900290039.
• Leistikow, S, Huesmann, K, Fofonov, A, and Linsen, L. 2018. “Visualizing Deep Water Asteroid Impacts: Interactive Visual Analysis of Multi-run Spatio-temporal Simulations.” in Proceedings of IEEE VIS 2018 - Winner of the 2018 SciVis Contest 2018
• Huesmann, K, Valkov, D, and Linsen, L. 2018. “RealityAlert: Improving Users’ Physical Safety in Immersive Virtual Environments.” in Proceedings of 6th ACM Symposium on Spatial User Interaction (SUI 2018) - Demos
• Molchanov, V, and Linsen, L. 2018. “Generation of Implicit Flow Representations for Interactive Visual Exploration of Flow Fields.” in Full Paper Proceedings of WSCG - 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2018, Vol. CSRN 2801 doi: 10.24132/CSRN.2018.2801.3.
• Pascale, AM, Ruge, S, Hauth, S, Korda{ß}, B, and Linsen, L. 2018. “Testing occlusal performance by using chewing simulation with virtually designed substrate.” International Journal of Computerized Dentistry, № 21 (1): 23–30.
• Molchanov, V, and Linsen, L. 2018. “Shape-preserving Star Coordinates.” IEEE Transactions on Visualization and Computer Graphics, № 2018: 1–1. doi: 10.1109/TVCG.2018.2865118.
• Ristovski, G, Jawad, M, Hahn, HK, and Linsen, L. 2018. “Designing Ensembles for Uncertainty-aware Vessel Segmentations from {MRI} Data.” in Proceedings of international conference on Computer Assisted Radiology and Surgery
• Antonov, A, Lohmann, G, Ionita, M, Dima, M, and Linsen, L. 2018. “Interactive Visual Exploration of Teleconnections in Atmospheric Datasets.” in Workshop on Visualisation in Environmental Sciences (EnvirVis), edited by K Rink, D Zeckzer, R Bujack and S Jänicke. Eindhoven: Eurographics Association. doi: 10.2312/envirvis.20181131.
• Sheharyar, A, Ruh, A, Aristova, M, Scott, M, Jarvis, K, Elbaz, M, Dolan, R, Schnell, S, Lin, K, Carr, J, Markl, M, Bouhali, O, and Linsen, L. 2018. “Visual Analysis of Regional Anomalies in Myocardial Motion.” in Eurographics Workshop on Visual Computing for Biology and Medicine, edited by Puig A Puig, T Schultz, A Vilanova, I Hotz, B Kozlikova and P Vázquez. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20181239.
• Fofonov, A, and Linsen, L. 2018. “Projected Field Similarity for Comparative Visualization of Multi-Run Multi-Field Time-Varying Spatial Data.” Computer Graphics Forum, № 2018 doi: 10.1111/cgf.13531.
• Fofonov, A, and Linsen, L. 2018. “A Top-Down Interactive Visual Analysis Approach for Physical Simulation Ensembles at Different Aggregation Levels.” Information, № 9 (7) doi: 10.3390/info9070163.
• Weidner, J, and Linsen, L. 2018. “Colored Stochastic Shadow Mapping for Direct Volume Rendering.” in Eurographics Conference on Visualization, EuroVis 2018, Short Papers, Brno, Czech Republic, 4-8 June 2018. doi: 10.2312/eurovisshort.20181072.
• Decheva, D, and Linsen, L. 2018. “Data Aggregation and Distance Encoding for Interactive Large Multidimensional Data Visualization.” in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications {(VISIGRAPP} 2018) - Volume 3: IVAPP, Funchal, Madeira, Portugal, January 27-29, 2018. doi: 10.5220/0006602502250235.
• Fofonov, A, and Linsen, L. 2018. “MultiVisA: Visual Analysis of Multi-run Physical Simulation Data using Interactive Aggregated Plots.” in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications {(VISIGRAPP} 2018) - Volume 3: IVAPP, Funchal, Madeira, Portugal, January 27-29, 2018. doi: 10.5220/0006574300620073.
• Selinger, E, and Linsen, L. 2018. “Efficient Curvature-optimized G2-continuous Path Generation with Guaranteed Error Bound for 5-axis Machining.” in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications {(VISIGRAPP} 2018) - Volume 1: GRAPP, Funchal, Madeira, Portugal, January 27-29, 2018. doi: 10.5220/0006537400590070.
• Antonov, A, and Linsen, L. 2018. “Interactive visual analysis and classification of hyperspectral imaging data.” J. Comput. Science, № 26: 13–21. doi: 10.1016/j.jocs.2018.03.003.
• Huesmann, K., Valkov, D., and Linsen, L. 2018. “Reality alert: Improving users' physical safety in immersive virtual environments.” in -, edited by -. New York, NY: ACM Press. doi: 10.1145/3267782.3274769.

2017

• Ngo, Q.Q., Hütt, M, and Linsen, L. 2017. “Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics.” contribution to the EuroVis 2017 Poster Proceedings, Barcelona, Spain
• Matute, J, and Linsen, L. 2017. “Visual Stratification for Epidemiological Analysis.” contribution to the EuroVis 2017 Poster Proceedings, Barcelona, Spain
• Ristovski, G, Hahn, H, and Linsen, L. 2017. “Uncertainty Visualization of Stenotic Regions in Vascular Structures.” contribution to the EuroVis 2017 Poster Proceedings, Barcelona, Spain
• Jawad, M, and Linsen, L. 2017. “Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors.” in EuroVis 2017 - Posters, edited by Anna Puig Puig and Tobias Isenberg. Barcelona, Spain: The Eurographics Association. doi: 10.2312/eurp.20171178.
• Ivanovska, T, Herzog, S, Matute, J, Ciet, P, Linsen, L, Duijts, L, Tiddens, H, Völzke, H, Peters, A, and Wörgötter, F. 2017. “Potential of Epidemiological Imaging for Image Analysis and Visualization Applications: A Brief Review.” in In Proceedings of 4th Int.Conf. on Mathematics and Computers in Sciences and Industry (MCSI 2017)
• Linsen, L, Telea, A, and Braz, J, eds. 2017. Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Setúbal: SciTePress.
• Ristovski, G, Matute, J, Wehrum, T, Harloff, A, Hahn, H, and Linsen, L. 2017. “Uncertainty visualization for interactive assessment of stenotic regions in vascular structures.” Computers & Graphics, № 69: 116–130.
• Braz, J, Magnenat{-}Thalmann, N, Richard, P, Linsen, L, Telea, A, Battiato, S, and Imai, FHeds. 2017. Communications in Computer and Information Science, Vol. 693, Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, {VISIGRAPP} 2016, Rome, Italy, February 27-29, 2016, Revised Selected Papers, Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-3-319-64870-5.
• Al-Taie, A., Hahn, H., and Linsen, L. 2017. “Combining rules using local statistics and uncertainty estimates for improved ensemble segmentation.” Pattern Recognition and Image Analysis, № 27 (3): 444–457. doi: 10.1134/S105466181703004X.
• Last, P., Kroker, M., and Linsen, L. 2017. “Generating real-time objects for a bridge ship-handling simulator based on automatic identification system data.” Simulation Modelling Practice and Theory, № 72 (null): 1339–1351. doi: 10.1016/j.simpat.2016.12.011.
• Shahid, M., Chitiboi, T., Ivanovska, T., Molchanov, V., Völzke, H., and Linsen, L. 2017. “Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification.” BMC Medical Imaging, № 17 (1) doi: 10.1186/s12880-017-0179-7.

2016

• Ngo, Q.Q., Hütt, M., and Linsen, L. 2016. “Visual Analysis of Governing Topological Structures in Excitable Network Dynamics.” Computer Graphics Forum, № 35 (3): 301–310. doi: 10.1111/cgf.12906.
• Al-Taie, A., Hahn, H., and Linsen, L. 2016. “Fast uncertainty-guided fuzzy C-means segmentation of medical images.” in Vol. null of Mathematics and Visualization Heidelberg: Springer. doi: 10.1007/978-3-319-24523-2_2.
• Fofonov, A., and Linsen, L. 2016. “Fast and robust isosurface similarity maps extraction using quasi-Monte Carlo approach.” in Vol. null of European Conference on Data Analysis Dordrecht: Kluwer Academic. doi: 10.1007/978-3-319-25226-1_42.
• Long, T., and Linsen, L. 2016. “Efficient reordering of parallel coordinates and its application to multidimensional biological data visualization.” in Vol. null of Mathematics and Visualization Heidelberg: Springer. doi: 10.1007/978-3-319-24523-2_14.
• Chitiboi, T., Schnell, S., Collins, J., Carr, J., Chowdhary, V., Honarmand, A., Hennemuth, A., Linsen, L., Hahn, H., and Markl, M. 2016. “Analyzing myocardial torsion based on tissue phase mapping cardiovascular magnetic resonance.” Journal of Cardiovascular Magnetic Resonance, № 18 (1) doi: 10.1186/s12968-016-0234-5.
• Linsen, L, Al-Taie, A, Ristovski, G, Preusser, T, and Hahn, HK. 2016. “Uncertainty and Reproducibility in Medical Visualization.” in Proceedings of the EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization, EuroRv^3 '16 Eindhoven: Eurographics Association. doi: 10.2312/eurorv3.20161107.
• Vican, V, Blindu, C, Fofonov, A, Ucinska, M, Bendul, J, and Linsen, L. 2016. “Application Potential of Multidimensional Scaling for the Design of DSS in Transport Insurance.” in Dynamics in Logistics (Proceedings of the 5th International Conference on LDIC), edited by M Freitag, H Kotzab and J Pannek. Basel: Springer International Publishing. doi: 10.1007/978-3-319-45117-6_10.
• Ristovski, G, Garbers, N, Hahn, H, Preusser, T, and Linsen, L. 2016. “Capturing and Visualizing Uncertainty in Liver Ablation.” contribution to the IEEE VIS Poster Proceedings, Baltimore, 2016
• Matute, J, and Linsen, L. 2016. “Visual Analysis of Mixed Numerical and Categorical Data in Cohort Studies.” contribution to the IEEE VIS Poster Proceedings, Baltimore, USA
• Fofonov, A, and Linsen, L. 2016. “MultiVISA: A Visual Analysis System for Simulation Data.” contribution to the Abstract Proceedings of Workshop on ’East Siberian Shelf: observations, data analysis, modelling efforts, Bremerhaven, Germany
• Sheharyar, A, Chitiboi, T, Keller, E, Rahman, O, Schnell, S, Markl, M, Bouhali, O, and Linsen, L. 2016. “Spatio-temporal Visualization of Regional Myocardial Velocities.” in Eurographics Workshop on Visual Computing for Biology and Medicine, edited by S Bruckner, B Preim, A Vilanova, H Hauser, A Hennemuth and A Lundervold. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20161275.
• Fofonov, A., Molchanov, V., and Linsen, L. 2016. “Visual Analysis of Multi-Run Spatio-Temporal Simulations Using Isocontour Similarity for Projected Views.” IEEE Transactions on Visualization and Computer Graphics, № 22 (8): 2037–2050. doi: 10.1109/TVCG.2015.2498554.
• Linsen, L., Hamann, B., and Hege, H. 2016. “Preface.” in Visualization in Medicine and Life Sciences III, Vol. null of Mathematics and Visualization, edited by L. Linsen, B. Hamann and H. Hege. Düsseldorf: Springer VDI Verlag.
• Razavi, M., Wang, L., Tan, T., Karssemeijer, N., Linsen, L., Frese, U., Hahn, H., and Zachmann, G. 2016. “Novel morphological features for non-mass-like breast lesion classification on DCE-MRI.” in Vol. null of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Heidelberg: Springer. doi: 10.1007/978-3-319-47157-0_37.
• Chitiboi, T., Hennemuth, A., Schnell, S., Chowdhary, V., Honarmand, A., Markl, M., Linsen, L., and Hahn, H. 2016. “Contour tracking and probabilistic segmentation of tissue phase mapping MRI.” in Vol. 9784 of Medical Imaging Bellingham, WA: SPIE. doi: 10.1117/12.2216921.
• Etemadpour, R., Linsen, L., Paiva, J., Crick, C., and Forbes, A. 2016. “Choosing visualization techniques for multidimensional data projection tasks: A guideline with examples.” in Vol. 598 of Communications in Computer and Information Science Heidelberg: Springer. doi: 10.1007/978-3-319-29971-6_9.
• Chitiboi, T., Neugebauer, M., Schnell, S., Markl, M., and Linsen, L. 2016. “3D superquadric glyphs for visualizing myocardial motion.” in Vol. null of IEEE Scientific Visualization Conference New York City: Wiley-IEEE Press. doi: 10.1109/SciVis.2015.7429504.

2015

• Molchanov, V., and Linsen, L. 2015. “Visual exploration of patterns in multi-run time-varying multi-field simulation data using projected views.” in Vol. null of International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision N/A: Sonstiger Verlag / other publisher.
• Last, P., Hering-Bertram, M., Jung, T., and Linsen, L. 2015. “Visual encoding of automatic identification system (AIS) data for radar systems.” in Vol. null of International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision N/A: Sonstiger Verlag / other publisher.
• Al-Taie, A., Hahn, H., and Linsen, L. 2015. “Point-wise diversity measure and visualization for ensemble of classifiers with application to image segmentation.” in Vol. 1 of International Conference on Computer Vision Theory and Applications Setúbal: SciTePress.
• Etemadpour, R., Motta, R., Paiva, J., Minghim, R., De Oliveira, M., and Linsen, L. 2015. “Perception-based evaluation of projection methods for multidimensional data visualization.” IEEE Transactions on Visualization and Computer Graphics, № 21 (1): 81–94. doi: 10.1109/TVCG.2014.2330617.
• Pascale, A., Ruge, S., Hauth, S., Kordaß, B., and Linsen, L. 2015. “Chewing simulation with a physically accurate deformable model.” International Journal of Computerized Dentistry, № 18 (3): 237–258.
• Ivanovska, T., Laqua, R., Shahid, M., Linsen, L., Hegenscheid, K., and Völzke, H. 2015. “Automatic Pharynx Segmentation from MRI Data for Analysis of Sleep Related Disorders.” International Journal on Artificial Intelligence Tools, № 24 (4) doi: 10.1142/s0218213015500189.
• Etemadpour, R., Linsen, L., Crick, C., and Forbes, A. 2015. “A user-centric taxonomy for multidimensional data projection tasks.” in Vol. null of International Conference on Information Visualization Theory and Applications Setúbal: SciTePress.
• Kanzok, T., Linsen, L., and Rosenthal, P. 2015. “An interactive visualization system for huge architectural laser scans.” in Vol. null of International Conference on Computer Graphics Theory and Applications Setúbal: SciTePress.
• Antonov, A., and Linsen, L. 2015. “Visual analysis of relevant fields in geoscientific multifield data.” in Towards an Interdisciplinary Approach in Earth System Science: Advances of a Helmholtz Graduate Research School, Vol. null , edited by Springer-Verlag. Basel: Springer International Publishing. doi: 10.1007/978-3-319-13865-7_23.
• Shahid, MLUR, Chitiboi, T, Ivanovska, T, Molchanov, V, Völzke, H, Hahn, HK, and Linsen, L. 2015. “Automatic Pharynx Segmentation from MRI Data for Obstructive Sleep Apnea Analysis.” in Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) doi: 10.5220/0005315905990608.
• Molchanov, V, Chitiboi, T, and Linsen, L. 2015. “Visual Analysis of Medical Image Segmentation Feature Space for Interactive Supervised Classification.” in Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM doi: 10.2312/vcbm.20151204.
• Last, P., Hering-Bertram, M., and Linsen, L. 2015. “How automatic identification system (AIS) antenna setup affects AIS signal quality.” Ocean Engineering, № 100 (null): 83–89. doi: 10.1016/j.oceaneng.2015.03.017.
• Braz, J., Kerren, A., and Linsen, L. 2015. “Foreword.” in Vol. null of International Conference on Information Visualization Theory and Applications Setúbal: SciTePress.
• MuhammadLaiq, UrRahman S., Chitiboi, T., Ivanovska, T., Molchanov, V., Völzke, H., Hahn, H., and Linsen, L. 2015. “Automatic pharynx segmentation from MRI data for obstructive sleep apnea analysis.” in Vol. 1 of International Conference on Computer Vision Theory and Applications Setúbal: SciTePress.

2014

• Ristovski, G., Preusser, T., Hahn, H., and Linsen, L. 2014. “Uncertainty in medical visualization: Towards a taxonomy.” Computers and Graphics, № 39 (1): 60–73. doi: 10.1016/j.cag.2013.10.015.
• Laramee, R., Carr, H., Chen, M., Hauser, H., Linsen, L., Mueller, K., Natarajan, V., Obermaier, H., Peikert, R., and Zhang, E. 2014. “Future challenges and unsolved problems in multi-field visualization.” in Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization, Vol. 37 of Mathematics and Visualization, edited by C.D. Hansen, M. Chen, C.R. Johnson, A.E. Kaufman and H. and Hagen. Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-1-4471-6497-5_19.
• Acevedo, C., Chitiboi, T., Linsen, L., and Hahn, H. 2014. “Automatic classification of salient boundaries in object-based image segmentation.” in Vol. null of Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen Dordrecht: Kluwer Academic. doi: 10.1007/978-3-642-54111-7_72.
• Kocev, B., Ritter, F., and Linsen, L. 2014. “Projector-based surgeon-computer interaction on deformable surfaces.” International Journal of Computer Assisted Radiology and Surgery, № 9 (2): 301–312. doi: 10.1007/s11548-013-0928-1.
• Linsen, L. 2014. “Visual exploration of multivariate volume data based on clustering.” in Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization, Vol. 37 of Mathematics and Visualization, edited by C.D. Hansen, M. Chen, C.R. Johnson, A.E. Kaufman and and H. Hagen. Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-1-4471-6497-5_16.
• Molchanov, V, and Linsen, L. 2014. “Interactive Design of Multidimensional Data Projection Layout.” in Proceedings of EuroVis 2014 -- Short Papers doi: 10.2312/eurovisshort.20141152.
• Al-Taie, A., Hahn, H., and Linsen, L. 2014. “Uncertainty estimation and visualization in probabilistic segmentation.” Computers and Graphics, № 39 (1): 48–59. doi: 10.1016/j.cag.2013.10.012.
• Etemadpour, R., Da, Motta R., De Souza, Paiva J., Minghim, R., De Oliveira, M., and Linsen, L. 2014. “Role of human perception in cluster-based visual analysis of multidimensional data projections.” in Vol. null Setúbal: SciTePress.
• Etemadpour, R., Olk, B., and Linsen, L. 2014. “Eye-tracking investigation during visual analysis of projected multidimensional data with 2D scatterplots.” in Vol. null Setúbal: SciTePress.
• Chitiboi, T., Hennemuth, A., Tautz, L., Huellebrand, M., Frahm, J., Linsen, L., and Hahn, H. 2014. “Context-based segmentation and analysis of multi-cycle real-time cardiac MRI.” in Vol. null of International Symposium on Biomedical Imaging New York City: Wiley-IEEE Press.
• Last, P., Bahlke, C., Hering-Bertram, M., and Linsen, L. 2014. “Comprehensive analysis of automatic identification system (AIS) data in regard to vessel movement prediction.” Journal of Navigation, № 67 (5): 791–809. doi: 10.1017/S0373463314000253.

2013

• Chitiboi, T., Homeyer, A., Linsen, L., and Hahn, H. 2013. “Object-based boundary properties.” in Vol. null of Workshop on Image Processing for Medicine: Algorithms - Systems - Applications Dordrecht: Kluwer Academic. doi: 10.1007/978-3-642-36480-8_36.
• Molchanov, V., Fofonov, A., and Linsen, L. 2013. “Frequency-based progressive rendering of continuous scatterplots.” Journal of WSCG, № 21 (1): 49–58.
• Ristovski, G., Hunter, M., Olk, B., and Linsen, L. 2013. “EyeC: Coordinated views for interactive visual exploration of eye-tracking data.” in Vol. null doi: 10.1109/IV.2013.32.
• Kanzok, T., Süß, F., Linsen, L., and Rosenthal, P. 2013. “Efficient removal of inconsistencies in large multi-scan point clouds.” in Vol. null of International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision N/A: Sonstiger Verlag / other publisher.
• Molchanov, V., Fofonov, A., and Linsen, L. 2013. “Continuous representation of projected attribute spaces of multifields over any spatial sampling.” Computer Graphics Forum, № 32 (null): 301–310. doi: 10.1111/cgf.12117.
• Reis, Santos T., Paulovich, F., Molchanov, V., Linsen, L., and De Oliveira, M. 2013. “Visualizing temporal behavior in multifield particle simulations.” in Vol. null
• Molchanov, V, Fofonov, A, Rosswog, S, Rosenthal, P, and Linsen, L. 2013. “SmoothViz: An Interactive Visual Analysis System for SPH Data.” in Proceedings of the 8th International SPHERIC Workshop
• Etemadpour, R., Monson, E., and Linsen, L. 2013. “The effect of stereoscopic immersive environments on projection-based multi-dimensional data visualization.” in Vol. null doi: 10.1109/IV.2013.51.
• Chitiboi, T., Hennemuth, A., Tautz, L., Stolzmann, P., Donati, O., Linsen, L., and Hahn, H. 2013. “Automatic detection of myocardial perfusion defects using object-based myocardium segmentation.” in Vol. 40
• Günther, C., Kanzok, T., Linsen, L., and Rosenthal, P. 2013. “A GPGPU-based pipeline for accelerated rendering of point clouds.” Journal of WSCG, № 21 (2): 153–161.

2012

• Kanzok, T., Linsen, L., and Rosenthal, P. 2012. “On-the-fly luminance correction for rendering of inconsistently lit point clouds.” Journal of WSCG, № 20 (3): 161–169.
• Ivanovska, T., Hahn, H., and Linsen, L. 2012. “On global MDL-based multichannel image restoration and partitioning.” Journal of WSCG, № 20 (1): 11–20.
• Ivanovska, T., Linsen, L., Hahn, H., and Völzke, H. 2012. “GPU implementations of a relaxation scheme for image partitioning: GLSL versus CUDA.” Computing and Visualization in Science, № 14 (5): 217–226. doi: 10.1007/s00791-012-0176-x.
• Hauth, S., and Linsen, L. 2012. “Cycloids for polishing along double-spiral toolpaths in configuration space.” International Journal of Advanced Manufacturing Technology, № 60 (null): 343–356. doi: 10.1007/s00170-011-3608-8.

2011

• Wilhelm, A., and Linsen, L. 2011. “Data Viz VI.” Computational Statistics, № 26 (4): 561–565. doi: 10.1007/s00180-011-0278-9.
• Poco, J., Etemadpour, R., Paulovich, F., Long, T., Rosenthal, P., Oliveira, M., Linsen, L., and Minghim, R. 2011. “A framework for exploring multidimensional data with 3D projections.” Computer Graphics Forum, № 30 (3): 1111–1120. doi: 10.1111/j.1467-8659.2011.01960.x.
• Linsen, L., and Behrendt, S. 2011. “Linked treemap: A 3D treemap-nodelink layout for visualizing hierarchical structures.” Computational Statistics, № 26 (4): 679–697. doi: 10.1007/s00180-011-0272-2.
• Selinger, J., and Linsen, L. 2011. “Efficient curvature-optimized G2-continuous path generation with guaranteed error bound for 3-axis machining.” in Vol. null doi: 10.1109/IV.2011.31.
• Hauth, S., and Linsen, L. 2011. “Double-spiral tool path in configuration space.” International Journal of Advanced Manufacturing Technology, № 54 (null): 1011–1022. doi: 10.1007/s00170-010-3004-9.
• van Long, T., and Linsen, L. 2011. “Visualizing high density clusters in multidimensional data using optimized star coordinates.” Computational Statistics, № 26 (4): 655–678. doi: 10.1007/s00180-011-0271-3.
• Hauth, S., Richterich, C., Glasmacher, L., and Linsen, L. 2011. “Constant cusp toolpath generation in configuration space based on offset curves.” International Journal of Advanced Manufacturing Technology, № 53 (null): 325–338. doi: 10.1007/s00170-010-2817-x.
• Molchanov, V, Rosenthal, P, and Linsen, L. 2011. “Variational Level-Set Detection of Local Isosurfaces from Unstructured Point-based Volume Data.” in Scientific Visualization: Interactions, Features, Metaphors, Vol. 2 of Dagstuhl Follow-Ups, edited by H Hagen. Wadern: Dagstuhl Publishing. doi: 10.4230/DFU.Vol2.SciViz.2011.222.
• Linsen, L, Molchanov, V, Dobrev, P, Rosswog, S, Rosenthal, P, and Long, TV. 2011. “SmoothViz: Visualization of Smoothed Particle Hydrodynamics Data.” in Hydrodynamics --- Optimizing Methods and Tools, edited by H Schulz. London: IntechOpen. doi: 10.5772/28338.
• Dobrev, P., Van Long, T., and Linsen, L. 2011. “A cluster hierarchy-based volume rendering approach for interactive visual exploration of multi-variate volume data.” in Vol. null doi: 10.2312/PE/VMV/VMV11/137-144.

2010

• Molchanov, V., Rosenthal, P., and Linsen, L. 2010. “Non-iterative second-order approximation of signed distance functions for any isosurface representation.” Computer Graphics Forum, № 29 (3): 1211–1220. doi: 10.1111/j.1467-8659.2009.01699.x.
• Dobrev, P., Rosenthal, P., and Linsen, L. 2010. “Interactive image-space point cloud rendering with transparency and shadows.” in Vol. null
• Rosenthal, P., Molchanov, V., and Linsen, L. 2010. “A narrow band level set method for surface extraction from unstructured point-based volume data.” in Vol. null
• Van Long, T., and Linsen, L. 2010. “Interactive exploration of hierarchical density clusters in gene expression data.” in Vol. null doi: 10.1109/KSE.2010.22.
• Ivanovska, T., Schenk, A., Homeyer, A., Deng, M., Dahmen, U., Dirsch, O., Hahn, H., and Linsen, L. 2010. “A fast and robust hepatocyte quantification algorithm including vein processing.” BMC Bioinformatics, № 11 (null) doi: 10.1186/1471-2105-11-124.
• Molchanov, V, Rosenthal, P, and Linsen, L. 2010. “Non-iterative Second-order Approximation of Signed Distance Function for Any Isosurface Representation.” Computer Graphics Forum, № 29 (3): 1211–1220. doi: 10.1111/j.1467-8659.2009.01699.x.

2009

• Brasch, S., Linsen, L., and Fuellen, G. 2009. “VANLO - Interactive visual exploration of aligned biological networks.” BMC Bioinformatics, № 10 (null): 327. doi: 10.1186/1471-2105-10-327.
• Van Long, T., and Linsen, L. 2009. “Multiclustertree: Interactive visual exploration of hierarchical clusters in multidimensional multivariate data.” Computer Graphics Forum, № 28 (3): 823–830. doi: 10.1111/j.1467-8659.2009.01468.x.
• Linsen, L., Rosenthal, P., and Van Long, T. 2009. “Linking multidimensional feature space cluster visualization to multifield surface extraction.” IEEE Computer Graphics and Applications, № 29 (3): 85–89. doi: 10.1109/MCG.2009.45.
• Rosenthal, P., and Linsen, L. 2009. “Enclosing surfaces for point clusters using 3D discrete voronoi diagrams.” Computer Graphics Forum, № 28 (3): 999–1006. doi: 10.1111/j.1467-8659.2009.01448.x.
• Brasch, S., McPherson, E., and Linsen, L. 2009. “Interactive data visualisation for animating urban tree growth.” International Journal of Modelling and Simulation, № 29 (3): 306–314. doi: 10.2316/Journal.205.2009.3.205-5020.
• Hauth, S., Murtezaoglu, Y., and Linsen, L. 2009. “Extended linked voxel structure for point-to-mesh distance computation and its application to NC collision detection.” CAD Computer Aided Design, № 41 (12): 896–906. doi: 10.1016/j.cad.2009.06.007.

2008

• Linsen, L., Van Long, T., Rosenthal, P., and Rosswog, S. 2008. “Surface extraction from multi-field particle volume data using multi-dimensional cluster visualization.” IEEE Transactions on Visualization and Computer Graphics, № 14 (6): 1483–1490. doi: 10.1109/TVCG.2008.167.
• Rosenthal, P., and Linsen, L. 2008. “Smooth surface extraction from unstructured point-based volume data using PDEs.” IEEE Transactions on Visualization and Computer Graphics, № 14 (6): 1531–1538. doi: 10.1109/TVCG.2008.164.
• Ivanovska, T., Schenk, A., Dahmen, U., Hahn, H., and Linsen, L. 2008. “Automatic hepatocyte quantification from histological images: Comparing pre-smoothing filters.” in Vol. null

2007

• Rudnick, S., Linsen, L., and McPherson, E. 2007. “Inverse modeling and animation of growing single-stemmed trees at interactive rates.” in Vol. null
• Ivanovska, T., and Linsen, L. 2007. “Converting RGB volume data to scalar fields for segmentation purposes.” in Vol. null
• Brasch, S., McPherson, E., and Linsen, L. 2007. “Visualization of time-varying natural tree data.” in Vol. null
• Brasch, S., Linsen, L., and Fuellen, G. 2007. “Visualization of aligned biological networks: A survey.” in Vol. null doi: 10.1109/CW.2007.70.
• Linsen, L., Müller, K., and Rosenthal, P. 2007. “Splat-based ray tracing of point clouds.” in Vol. null
• Sreevalsan-Nair, J., Van Nieuwenhuyse, E., Hotz, I., Linsen, L., and Hamann, B. 2007. “An interactive visual exploration tool for Northern California's water monitoring network.” in Vol. 6495 doi: 10.1117/12.703695.
• Linsen, L., Hamann, B., and Joy, K. 2007. “Wavelets for adaptively refined 3√2-subdivision meshes.” International Journal of Computers and Applications, № 29 (3): 223–231.

2006

• Sreevalsan-Nair, J., Hamann, B., and Linsen, L. 2006. “Using ray intersection for dual isosurfacing.” in Vol. null
• Park, S., Linsen, L., Kreylos, O., Owens, J., and Hamann, B. 2006. “Discrete sibson interpolation.” IEEE Transactions on Visualization and Computer Graphics, № 12 (2): 243–252. doi: 10.1109/TVCG.2006.27.
• Vivodtzev, F., Wiley, D., Linsen, L., Jones, J., Amenta, N., Hamann, B., and Joy, K. 2006. “Automatic feature-based surface mapping for brain cortices.” in Vol. 6060 doi: 10.1117/12.644541.
• Linsen, L., Löcherbach, J., Berth, M., Becher, D., and Bernhardt, J. 2006. “Visual analysis of gel-free proteome data.” IEEE Transactions on Visualization and Computer Graphics, № 12 (4): 497–508. doi: 10.1109/TVCG.2006.82.
• Eichberger, G., Perry, C., Walker, H., Hastings, P., Linsen, L., and Frank, L. 2006. “Interactive 3D graphics for web-based data analysis and visualization for the Digital Fish Library (DFL).” in Vol. null of International Conference on Computer Graphics and Interactive Techniques New York, NY: ACM Press. doi: 10.1145/1179622.1179818.

2005

• Linsen, L., Karis, B., McPherson, E., and Hamann, B. 2005. “Tree growth visualization.” in Vol. null
• Kanodia, R., Linsen, L., and Hamann, B. 2005. “Multiple transparent material-enriched isosurfaces.” in Vol. null
• Linsen, L., Löcherbach, J., Berth, M., Bernhardt, J., and Becher, D. 2005. “Differential protein expression analysis via liquid-chromatography/mass- spectrometry data visualization.” in Vol. null doi: 10.1109/VIS.2005.22.
• Gray, J., Linsen, L., Hamann, B., and Joy, K. 2005. “Adaptive multi-valued volume data visualization using data-dependent error metrics.” International Journal of Modelling and Simulation, № 25 (2): 135–143.

2004

• Linsen, L., Pascucci, V., Duchaineau, M., Hamann, B., and Joy, K. 2004. “Wavelet-based multiresolution with n√2 subdivision.” Computing, № 72 (null): 129–142.
• Park, S., Budge, B., Linsen, L., Hamann, B., and Joy, K. 2004. “Multi-dimensional transfer functions for interactive 3D flow visualization.” in Vol. null doi: 10.1109/PCCGA.2004.1348348.

2003

• Linsen, L., Hamann, B., and Joy, K. 2003. “Wavelets for Adaptively Refined 3√2-subdivision Meshes.” in Vol. null , edited by Hamza M.H..
• Pascucci, V., Laney, D., Frank, R., Scorzelli, G., Linsen, L., Hamann, B., and Gygi, F. 2003. “Real-time monitoring of large scientific simulations.” in Vol. null
• Linsen, L., and Prautzsch, H. 2003. “Fan clouds - An alternative to meshes.” in Geometry, Morphology, and Computational Imaging, Vol. 2616 of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Springer.

2002

• Linsen, L., Pascucci, V., Duchaineau, M., Hamann, B., and Joy, K. 2002. “Hierarchical representation of time-varying volume data with 4√2 subdivision and quadrilinear B-spline wavelets.” in Vol. null of Pacific Conference on Computer Graphics and Applications New York City: Wiley-IEEE Computer Society Press. doi: 10.1109/PCCGA.2002.1167878.