List of publications

 

Publications

  • Evers, Marina; Derstroff, Adrian; Leistikow, Simon; Schneider, Tom; Mallepree, Larissa; Stampke, Jan; Leisgang, Moritz; Sprafke, Sebastian; Schuhl, Melina; Krefft, Niklas; Droese, Felix; Linsen, Lars. . ‘Visual analytics of soccer player performance using objective ratings.’ Information Visualization 1–15. doi: 10.1177/14738716231220539.

  • Borrelli, Gabriel; Hagemann, Lars; Steinkühler, Jannik;Derstroff, Adrian;Evers, Marina;Huesmann, Karim;Leistikow, Simon;Rave, Hennes;Gol, Reyhaneh Sabbagh;Linsen, Lars. . ‘2022 IEEE Scientific Visualization Contest Winner: Multifield Analysis of Vorticity-Driven Lateral Spread in Wildfire Ensembles.’ IEEE Computer Graphics and Applications 44, No. 1: 40–49. doi: 10.1109/MCG.2023.3310298.
  • Evers, Marina; Böttinger, Michael; Linsen, Lars. . ‘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, Dirk, 69–76. -: The Eurographics Association. doi: https://doi.org/10.2312/envirvis.20231108.

  • Evers M, Linsen L. . ‘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, Linsen L. . ‘Coherent Topological Landscapes for Simulation Ensembles.’ In Computer Vision, Imaging and Computer Graphics Theory and Applications, edited by Bouatouch K. et al., 223–237. Springer VDI Verlag.
  • Schwarz C, Buchholz R, Jawad M, Hoesker V, Terwesten-Solé C, Karst U, Linsen L, Vogl T, Hoerr V, Wildgruber M, Faber C. . ‘Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding.’ ACS Infectious Diseases 8, No. 2: 360–372. doi: 10.1021/acsinfecdis.1c00485.
  • Matute J., Linsen L. . ‘Evaluating Data-type Heterogeneity in Interactive Visual Analyses with Parallel Axes.’ Computer Graphics Forum 41, No. 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; Franz, Marcus. . ‘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, No. 1: 58. doi: 10.3390/diagnostics12010058.
  • Rave H., Fincke J., Averkamp S., Tangerding B., Wehrenberg L.P., Gerrits T., Huesmann K., Leistikow S., Linsen L. . ‘Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data.’ IEEE Computer Graphics and Applications 42, No. 4: 80–88. doi: 10.1109/MCG.2021.3098096.
  • Derstroff A, Leistikow S, Nahardani A, Ebrahimi M, Hoerr V, Linsen L. ‘Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates.’ contributed to the EuroVis 2022, Rom, .
  • Evers, Marina; Wittkowski, Raphael; Linsen, Lars. . ‘ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures.’ In 2022 IEEE Visualization and Visual Analytics (VIS), edited by -, 150–154. Oklahoma City: Wiley-IEEE Press. doi: 10.1109/VIS54862.2022.00039.
  • Heimes, Karl; Evers, Marina; Gerrits, Tim; Gyawali, Sandeep; Sinden, David; Preusser, Tobias; Linsen, Lars. . ‘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 Raidou, Renata G.; Sommer, Björn; Kuhlen, Torsten W.; Krone, Michael; Schultz, Thomas; Wu, Hsiang-Yun, 53–63. -: The 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.; Linsen L. . ‘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 -, -. Proceedings of IEEE VIS 2022: Wiley-IEEE Press.
  • Nahardani, A.; Krämer, M.; Ebrahimi, M.;Herrmann, K.-H.; Leistikow, S.; Linsen, L.; Moradi, S.; Reichenbach, J.R.; Hoerr, V. . ‘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.

  • Huesmann Karim, Rodriguez Luis Garcia, Linsen Lars, Risse Benjamin. . ‘The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.’ In The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.: Springer International Publishing.
  • Nahardani A, Leistikow S, Krämer M, Herrmann KH, Zhao WT, Güllmar D, Linsen L, Reichenbach JR, Hoerr V. ‘The impact of compressed sensing L1- ESPIRiT reconstruction on the velocity vector fields acquired by 4D-flow MRI: A comparison to L2-ESPIRiT.’ contributed to the Proc. Intl. Soc. Mag. Reson. Med. 29, Virtual, .
  • Evers M, Huesmann K, Linsen L. . ‘Uncertainty-aware Visualization of Regional Time Series Correlation in Spatio-temporal Ensembles.’ Computer Graphics Forum 40, No. 3: 519–530. doi: 10.1111/cgf.14326.
  • Rave, Hennes; Molchanov, Vladimir; Linsen, Lars. . ‘Axes Bundling and Brushing in Star Coordinates.’ Contributed 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, Linsen L. . ‘Visual Analysis of Spatio-temporal Features in Multi-field Earth's Mantle Convection Simulations.’ In Proceedings of IEEE VIS 2021, edited by -, -. Proceedings of IEEE VIS 2021: Wiley-IEEE Press.

  • Jawad M, Soltwisch J, Dreisewerd K, Linsen L. . ‘Interactive Visual Analysis of Mass Spectrometry Imaging Data Using Linear and Non-Linear Embeddings.’ Information 11, No. 12: 575. doi: 10.3390/info11120575.
  • Huesmann K, Klemm S, Linsen L, Risse B. . Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization. arXiv e-print:2002.09237: CoRR.
  • Boshe-Plois S, Ngo Q. Q., Albers P, Linsen L. . ‘Visual Analysis of Billiard Dynamics Simulation Ensembles.’ In 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020), edited by Kerren A, Hurter C, Braz J, 185–192.: SCITEPRESS - Science and Technology Publications, Lda.
  • Leistikow S, Nahardani A, Hoerr V, Linsen L. . ‘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 Kozlíková B, Krone M, Smit NN, Nieselt K, Raidou RG, 139–150.: Eurographics Association. doi: 10.2312/vcbm.20201180.
  • Leistikow S, Huesmann K, Fofonov A, Linsen L. . ‘Aggregated Ensemble Views for Deep Water Asteroid Impact Simulations.’ IEEE Computer Graphics and Applications 40, No. 1: 72–81. doi: 10.1109/MCG.2019.2915215.
  • Machicao* Jeaneth, Ngo* Quynh Quang, Molchanov Vladimir, Linsen Lars, Bruno Odemir. . ‘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, Linsen L. . ‘Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections.’ In Vision, Modeling, and Visualization, edited by Krüger J, Niessner M, Stückler J.: The Eurographics Association. doi: 10.2312/vmv.20201190.
  • Jawad M, Molchanov V, Linsen L. . ‘A Reproducibility Study for Visual MRSI Data Analytics.’ In Computer Vision, Imaging and Computer Graphics Theory and Applications, 362–388. Cham: Springer International Publishing. doi: 10.1007/978-3-030-41590-7_15.
  • Herick M, Molchanov V, Linsen L. . ‘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, 54–61.: SciTePress. doi: 10.5220/0008956300540061.
  • Molchanov V, Linsen L. . ‘Smooth Map Deformation Using Integral Images.’ Journal of WSCG 1-2: 18–26.
  • Molchanov V, Hamid S, Linsen L. . ‘Efficient Morphing of Shape-preserving Star Coordinates.’ In 2020 IEEE Pacific Visualization Symposium (PacificVis), 136–145.: IEEE. doi: 10.1109/PacificVis48177.2020.8199. [online first]
  • Shahid MLUR, Molchanov V, Mir J, Shaukat F, Linsen L. . ‘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 Hoerr V. ‘Evaluation of potential hemodynamic biomarkers in experimental PAH using center-out stack-of-stars 4D phase contrast velocity mapping.’ contributed to the ISMRM 2020, Virtual, .
  • Rave H., Fincke J., Averkamp S., Tangerding B., Wehrenberg L.P., Gerrits T., Huesmann K., Leistikow S., Linsen L. . ‘Interactive Visual Analysis of Oceanographic Simulation Ensemble Data.’ In Proceedings of IEEE VIS 2020 - Winner of the 2020 SciVis Contest 2020, edited by -, -. Proceedings of IEEE VIS 2020: Wiley-IEEE Press.

  • Hesse-Edenfeld C, Steinke MJ, Santalidis N, Huesmann K, Leistikow S, Linsen L. . ‘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, Linsen L. . ‘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, Linsen L. . ‘A Visual Analytics Tool for Cohorts in Motion Data.’ In Vision, Modeling and Visualization, edited by Schulz H, Teschner M, Wimmer M.: The Eurographics Association. doi: 10.2312/vmv.20191329.
  • Ngo Q. Q., Hütt M., Linsen L. . ‘Visual Analytics of Simulation Ensembles for Network Dynamics.’ In Vision, Modeling and Visualization, edited by Schulz H, Teschner M, Wimmer M.: The Eurographics Association. doi: 10.2312/vmv.20191322.
  • Valkov D, Mantler A, Linsen L. . ‘Haptic Prop: A Tangible Prop for Semi-passive Haptic Interaction.’ In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 1744–1748. doi: 10.1109/VR.2019.8797718.
  • Valkov D, Linsen L. . ‘Vibro-tactile Feedback for Real-world Awareness in Immersive Virtual Environments.’ In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 340–349. doi: 10.1109/VR.2019.8798036.
  • Ristovski G, Garbers N, Hahn HK, Preusser T, Linsen L. . ‘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, Trémeau A (Eds.): . 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. : Springer VDI Verlag. doi: 10.1007/978-3-030-12209-6.
  • Evers M, Linsen L. . ‘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., 216–224. doi: 10.5220/0007344702160224.
  • Kosara R, Lawonn K, Linsen L, Smit N (Eds.): . EuroVis Workshop on Trustworthy Visualization (TrustVis). : Selbstverlag / Eigenverlag / Self-publishing .
  • Gebauer E, Linsen L. . ‘Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles.’ In EuroVis Workshop on Trustworthy Visualization (TrustVis), edited by Kosara R, Lawonn K, Linsen L, Smit N, 7–11.: The Eurographics Association. doi: 10.2312/trvis.20191184.
  • Kocev B, Hahn HK, Linsen L, Wells WM, Kikinis R. . ‘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, Linsen L. . ‘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, Linsen L. . ‘An interactive visual analysis tool for investigating teleconnections in climate simulations.’ Environmental Earth Sciences 78, No. 10: 294. doi: 10.1007/s12665-019-8295-z.
  • Selinger E, Linsen L. . ‘Efficient Error-bounded Curvature Optimization for Smooth Machining Paths.’ Journal of Virtual Reality and Broadcasting 15(2018), No. 2. doi: 10.20385/1860-2037/15.2018.2.
  • Jawad. M, Molchanov. V, Linsen. L. . ‘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,, 118–128.: SciTePress. doi: 10.5220/0007571801180128.
  • Matute J, Linsen L. . ‘Hinted Star Coordinates for Mixed Data.’ Computer Graphics Forum 39, No. 1. doi: 10.1111/cgf.13666.
  • Matute J, Fischer M, Telea AC, Linsen L. . ‘Scatterplot Summarization by Constructing Fast and Robust Principal Graphs from Skeletons .’ Contributed to the PacificVis 2019, Bangkok, Thailand.
  • Hamid S, Derstroff A, Klemm S, Ngo Q. Q., Jiang X, Linsen L. . ‘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 Archambault, Daniel and Nabney, Ian and Peltonen, Jaakko.: The Eurographics Association. doi: 10.2312/mlvis.20191160.

  • Matute J., Telea A., Linsen L. . ‘Skeleton-Based Scagnostics.’ IEEE Transactions on Visualization and Computer Graphics 24, No. 1: 542–552. doi: 10.1109/TVCG.2017.2744339.
  • Molchanov V., Linsen L. . ‘Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data.’ Information 9, No. 7. doi: 10.3390/info9070156.
  • Rosenthal P, Molchanov V, Linsen L. . ‘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, 17–28.: SciTePress. doi: 10.5220/0006537200170028.
  • Molchanov V, Linsen L. . ‘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, 29–39.: SciTePress. doi: 10.5220/0006541900290039.
  • Leistikow S, Huesmann K, Fofonov A, Linsen L. . ‘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, Linsen L. . ‘RealityAlert: Improving Users’ Physical Safety in Immersive Virtual Environments.’ In Proceedings of 6th ACM Symposium on Spatial User Interaction (SUI 2018) - Demos.
  • Molchanov V, Linsen L. . ‘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, 20–29. doi: 10.24132/CSRN.2018.2801.3.
  • Pascale AM, Ruge S, Hauth S, Korda{ß} B, Linsen L. . ‘Testing occlusal performance by using chewing simulation with virtually designed substrate.’ International Journal of Computerized Dentistry 21, No. 1: 23–30.
  • Molchanov V, Linsen L. . ‘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, Linsen L. . ‘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, Linsen L. . ‘Interactive Visual Exploration of Teleconnections in Atmospheric Datasets.’ In Workshop on Visualisation in Environmental Sciences (EnvirVis), edited by Rink K, Zeckzer D, Bujack R, Jänicke S.: The 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, Linsen L. . ‘Visual Analysis of Regional Anomalies in Myocardial Motion.’ In Eurographics Workshop on Visual Computing for Biology and Medicine, edited by Puig Puig A, Schultz T, Vilanova A, Hotz I, Kozlikova B, Vázquez P.: The Eurographics Association. doi: 10.2312/vcbm.20181239.
  • Fofonov A, Linsen L. . ‘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, Linsen L. . ‘A Top-Down Interactive Visual Analysis Approach for Physical Simulation Ensembles at Different Aggregation Levels.’ Information 9, No. 7. doi: 10.3390/info9070163.
  • Weidner J, Linsen L. . ‘Colored Stochastic Shadow Mapping for Direct Volume Rendering.’ In Eurographics Conference on Visualization, EuroVis 2018, Short Papers, Brno, Czech Republic, 4-8 June 2018., 19–23. doi: 10.2312/eurovisshort.20181072.
  • Decheva D, Linsen L. . ‘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., 225–235. doi: 10.5220/0006602502250235.
  • Fofonov A, Linsen L. . ‘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., 62–73. doi: 10.5220/0006574300620073.
  • Selinger E, Linsen L. . ‘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., 59–70. doi: 10.5220/0006537400590070.
  • Antonov A, Linsen L. . ‘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., Linsen L. . ‘Reality alert: Improving users' physical safety in immersive virtual environments.’ In -, edited by -, 175. -: ACM Press. doi: 10.1145/3267782.3274769.

  • Al-Taie A., Hahn H., Linsen L. . ‘Combining rules using local statistics and uncertainty estimates for improved ensemble segmentation.’ Pattern Recognition and Image Analysis 27, No. 3: 444–457. doi: 10.1134/S105466181703004X.
  • Last P., Kroker M., Linsen L. . ‘Generating real-time objects for a bridge ship-handling simulator based on automatic identification system data.’ Simulation Modelling Practice and Theory 72, No. null: 1339–1351. doi: 10.1016/j.simpat.2016.12.011.
  • Shahid M., Chitiboi T., Ivanovska T., Molchanov V., Völzke H., Linsen L. . ‘Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification.’ BMC Medical Imaging 17, No. 1. doi: 10.1186/s12880-017-0179-7.
  • Ngo Q. Q., Hütt M, Linsen L. ‘Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics.’ contributed to the EuroVis 2017 Poster Proceedings, Barcelona, Spain, .
  • Matute J, Linsen L. ‘Visual Stratification for Epidemiological Analysis.’ contributed to the EuroVis 2017 Poster Proceedings, Barcelona, Spain, .
  • Ristovski G, Hahn H, Linsen L. ‘Uncertainty Visualization of Stenotic Regions in Vascular Structures.’ contributed to the EuroVis 2017 Poster Proceedings, Barcelona, Spain, .
  • Jawad M, Linsen L. ‘Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors.’ contributed to the EuroVis 2017 Poster Proceedings, Barcelona, Spain, . doi: 10.2312/eurp.20171178.
  • Ivanovska T, Herzog S, Matute J, Ciet P, Linsen L, Duijts L, Tiddens H, Völzke H, Peters A, Wörgötter F. . ‘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, Braz J (Eds.): . Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP. : SciTePress.
  • Ristovski G, Matute J, Wehrum T, Harloff A, Hahn H, Linsen L. . ‘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, Imai FH (Eds.): . Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, {VISIGRAPP} 2016, Rome, Italy, February 27-29, 2016, Revised Selected Papers. : Springer VDI Verlag. doi: 10.1007/978-3-319-64870-5.

  • Fofonov A., Molchanov V., Linsen L. . ‘Visual Analysis of Multi-Run Spatio-Temporal Simulations Using Isocontour Similarity for Projected Views.’ IEEE Transactions on Visualization and Computer Graphics 22, No. 8: 2037–2050. doi: 10.1109/TVCG.2015.2498554.
  • Linsen L., Hamann B., Hege H. . ‘Preface.’ In Visualization in Medicine and Life Sciences III, edited by Linsen L., Hamann B., Hege H., V–Vi. Springer VDI Verlag.
  • Razavi M., Wang L., Tan T., Karssemeijer N., Linsen L., Frese U., Hahn H., Zachmann G. . ‘Novel morphological features for non-mass-like breast lesion classification on DCE-MRI.’ Contributed to the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, grc. doi: 10.1007/978-3-319-47157-0_37.
  • Chitiboi T., Hennemuth A., Schnell S., Chowdhary V., Honarmand A., Markl M., Linsen L., Hahn H. . ‘Contour tracking and probabilistic segmentation of tissue phase mapping MRI.’ Contributed to the Medical Imaging 2016: Image Processing, usa. doi: 10.1117/12.2216921.
  • Etemadpour R., Linsen L., Paiva J., Crick C., Forbes A. . ‘Choosing visualization techniques for multidimensional data projection tasks: A guideline with examples.’ Contributed to the 10th International Joint Conference, VISIGRAPP 2015, Berlin, Deutschland. doi: 10.1007/978-3-319-29971-6_9.
  • Chitiboi T., Neugebauer M., Schnell S., Markl M., Linsen L. . ‘3D superquadric glyphs for visualizing myocardial motion.’ Contributed to the IEEE Scientific Visualization Conference, SciVis 2015, usa. doi: 10.1109/SciVis.2015.7429504.
  • Ngo Q. Q., Hütt M., Linsen L. . ‘Visual Analysis of Governing Topological Structures in Excitable Network Dynamics .’ Computer Graphics Forum 35, No. 3: 301–310. doi: 10.1111/cgf.12906.
  • Al-Taie A., Hahn H., Linsen L. . ‘Fast uncertainty-guided fuzzy C-means segmentation of medical images.’ Contributed to the 3rd International Workshop on Visualization in Medicine and Life Sciences, VMLS 2013, deu. doi: 10.1007/978-3-319-24523-2_2.
  • Fofonov A., Linsen L. . ‘Fast and robust isosurface similarity maps extraction using quasi-Monte Carlo approach.’ Contributed to the 2nd European Conference on Data Analysis, ECDA 2014, deu. doi: 10.1007/978-3-319-25226-1_42.
  • Long T., Linsen L. . ‘Efficient reordering of parallel coordinates and its application to multidimensional biological data visualization.’ Contributed to the 3rd International Workshop on Visualization in Medicine and Life Sciences, VMLS 2013, deu. 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., Markl M. . ‘Analyzing myocardial torsion based on tissue phase mapping cardiovascular magnetic resonance.’ Journal of Cardiovascular Magnetic Resonance 18, No. 1. doi: 10.1186/s12968-016-0234-5.
  • Linsen L, Al-Taie A, Ristovski G, Preusser T, Hahn HK. . ‘Uncertainty and Reproducibility in Medical Visualization.’ In Proceedings of the EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization, 1–3. Goslar Germany, Germany: Eurographics Association. doi: 10.2312/eurorv3.20161107.
  • Vican V, Blindu C, Fofonov A, Ucinska M, Bendul J, Linsen L. . ‘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 Freitag M, Kotzab H, Pannek J, 109–118. Cham: Springer International Publishing. doi: 10.1007/978-3-319-45117-6_10.
  • Ristovski G, Garbers N, Hahn H, Preusser T, Linsen L. ‘Capturing and Visualizing Uncertainty in Liver Ablation.’ contributed to the IEEE VIS Poster Proceedings, Baltimore, 2016, .
  • Matute J, Linsen L. ‘Visual Analysis of Mixed Numerical and Categorical Data in Cohort Studies.’ contributed to the IEEE VIS Poster Proceedings, Baltimore, USA, .
  • Fofonov A, Linsen L. ‘MultiVISA: A Visual Analysis System for Simulation Data.’ contributed 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, Linsen L. . ‘Spatio-temporal Visualization of Regional Myocardial Velocities.’ In Eurographics Workshop on Visual Computing for Biology and Medicine, edited by Bruckner S, Preim B, Vilanova A, Hauser H, Hennemuth A, Lundervold A.: The Eurographics Association. doi: 10.2312/vcbm.20161275.

  • Last P., Hering-Bertram M., Linsen L. . ‘How automatic identification system (AIS) antenna setup affects AIS signal quality.’ Ocean Engineering 100, No. null: 83–89. doi: 10.1016/j.oceaneng.2015.03.017.
  • Braz J., Kerren A., Linsen L. . ‘Foreword.’ Contributed to the 6th International Conference on Information Visualization Theory and Applications, IVAPP 2015, deu.
  • MuhammadLaiq Ur Rahman S., Chitiboi T., Ivanovska T., Molchanov V., Völzke H., Hahn H., Linsen L. . ‘Automatic pharynx segmentation from MRI data for obstructive sleep apnea analysis.’ Contributed to the 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, deu.
  • Molchanov V., Linsen L. . ‘Visual exploration of patterns in multi-run time-varying multi-field simulation data using projected views.’ Contributed to the 22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014 - in co-operation with EUROGRAPHICS Association, cze.
  • Last P., Hering-Bertram M., Jung T., Linsen L. . ‘Visual encoding of automatic identification system (AIS) data for radar systems.’ Contributed to the 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015, cze.
  • Al-Taie A., Hahn H., Linsen L. . ‘Point-wise diversity measure and visualization for ensemble of classifiers with application to image segmentation.’ Contributed to the 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, deu.
  • Etemadpour R., Motta R., Paiva J., Minghim R., De Oliveira M., Linsen L. . ‘Perception-based evaluation of projection methods for multidimensional data visualization.’ IEEE Transactions on Visualization and Computer Graphics 21, No. 1: 81–94. doi: 10.1109/TVCG.2014.2330617.
  • Pascale A., Ruge S., Hauth S., Kordaß B., Linsen L. . ‘Chewing simulation with a physically accurate deformable model.’ International Journal of Computerized Dentistry 18, No. 3: 237–258.
  • Ivanovska T., Laqua R., Shahid M., Linsen L., Hegenscheid K., Völzke H. . ‘Automatic Pharynx Segmentation from MRI Data for Analysis of Sleep Related Disorders.’ International Journal on Artificial Intelligence Tools 24, No. 4. doi: 10.1142/s0218213015500189.
  • Etemadpour R., Linsen L., Crick C., Forbes A. . ‘A user-centric taxonomy for multidimensional data projection tasks.’ Contributed to the 6th International Conference on Information Visualization Theory and Applications, IVAPP 2015, deu.
  • Kanzok T., Linsen L., Rosenthal P. . ‘An interactive visualization system for huge architectural laser scans.’ Contributed to the 10th International Conference on Computer Graphics Theory and Applications, GRAPP 2015, Berlin, Deutschland.
  • Antonov A., Linsen L. . ‘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, edited by Springer-Verlag, 221–232. Springer International Publishing. doi: 10.1007/978-3-319-13865-7_23.
  • Shahid MLUR, Chitiboi T, Ivanovska T, Molchanov V, Völzke H, Hahn HK, Linsen L. . ‘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, Linsen L. . ‘Visual Analysis of Medical Image Segmentation Feature Space for Interactive Supervised Classification.’ In Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM, 11–19. doi: 10.2312/vcbm.20151204.

  • Al-Taie A., Hahn H., Linsen L. . ‘Uncertainty estimation and visualization in probabilistic segmentation.’ Computers and Graphics 39, No. 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., Linsen L. . ‘Role of human perception in cluster-based visual analysis of multidimensional data projections.’ Contributed to the 5th International Conference on Information Visualization Theory and Applications, IVAPP 2014, Lisbon, prt.
  • Etemadpour R., Olk B., Linsen L. . ‘Eye-tracking investigation during visual analysis of projected multidimensional data with 2D scatterplots.’ Contributed to the 5th International Conference on Information Visualization Theory and Applications, IVAPP 2014, Lisbon, prt.
  • Chitiboi T., Hennemuth A., Tautz L., Huellebrand M., Frahm J., Linsen L., Hahn H. . ‘Context-based segmentation and analysis of multi-cycle real-time cardiac MRI.’ Contributed to the 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, chn.
  • Last P., Bahlke C., Hering-Bertram M., Linsen L. . ‘Comprehensive analysis of automatic identification system (AIS) data in regard to vessel movement prediction.’ Journal of Navigation 67, No. 5: 791–809. doi: 10.1017/S0373463314000253.
  • Ristovski G., Preusser T., Hahn H., Linsen L. . ‘Uncertainty in medical visualization: Towards a taxonomy.’ Computers and Graphics 39, No. 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., Zhang E. . ‘Future challenges and unsolved problems in multi-field visualization.’ In Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization, edited by Hansen, C.D., Chen, M., Johnson, C.R., Kaufman, A.E., and Hagen, H., 205–211. Springer VDI Verlag. doi: 10.1007/978-1-4471-6497-5_19.
  • Acevedo C., Chitiboi T., Linsen L., Hahn H. . ‘Automatic classification of salient boundaries in object-based image segmentation.’ Contributed to the Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2014 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2014, Aachen, Deutschland. doi: 10.1007/978-3-642-54111-7_72.
  • Kocev B., Ritter F., Linsen L. . ‘Projector-based surgeon-computer interaction on deformable surfaces.’ International Journal of Computer Assisted Radiology and Surgery 9, No. 2: 301–312. doi: 10.1007/s11548-013-0928-1.
  • Linsen L. . ‘Visual exploration of multivariate volume data based on clustering.’ In Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization, edited by C.D. Hansen, M. Chen, C.R. Johnson, A.E. Kaufman, and H. Hagen, 175–187. Springer VDI Verlag. doi: 10.1007/978-1-4471-6497-5_16.
  • Molchanov V, Linsen L. . ‘Interactive Design of Multidimensional Data Projection Layout.’ In Proceedings of EuroVis 2014 -- Short Papers, 25–29. doi: 10.2312/eurovisshort.20141152.

  • Etemadpour R., Monson E., Linsen L. . ‘The effect of stereoscopic immersive environments on projection-based multi-dimensional data visualization.’ Contributed to the 2013 17th International Conference on Information Visualisation, IV 2013, London, gbr. doi: 10.1109/IV.2013.51.
  • Chitiboi T., Hennemuth A., Tautz L., Stolzmann P., Donati O., Linsen L., Hahn H. . ‘Automatic detection of myocardial perfusion defects using object-based myocardium segmentation.’ Contributed to the 2013 40th Computing in Cardiology Conference, CinC 2013, Zaragoza, esp.
  • Günther C., Kanzok T., Linsen L., Rosenthal P. . ‘A GPGPU-based pipeline for accelerated rendering of point clouds.’ Journal of WSCG 21, No. 2: 153–161.
  • Chitiboi T., Homeyer A., Linsen L., Hahn H. . ‘Object-based boundary properties.’ Contributed to the Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2013 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2013, deu. doi: 10.1007/978-3-642-36480-8_36.
  • Molchanov V., Fofonov A., Linsen L. . ‘Frequency-based progressive rendering of continuous scatterplots.’ Journal of WSCG 21, No. 1: 49–58.
  • Ristovski G., Hunter M., Olk B., Linsen L. . ‘EyeC: Coordinated views for interactive visual exploration of eye-tracking data.’ Contributed to the 2013 17th International Conference on Information Visualisation, IV 2013, London, gbr. doi: 10.1109/IV.2013.32.
  • Kanzok T., Süß F., Linsen L., Rosenthal P. . ‘Efficient removal of inconsistencies in large multi-scan point clouds.’ Contributed to the 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2013, cze.
  • Molchanov V., Fofonov A., Linsen L. . ‘Continuous representation of projected attribute spaces of multifields over any spatial sampling.’ Computer Graphics Forum 32, No. null: 301–310. doi: 10.1111/cgf.12117.
  • Reis Santos T., Paulovich F., Molchanov V., Linsen L., De Oliveira M. . ‘Visualizing temporal behavior in multifield particle simulations.’ Contributed to the International Conference on Computer Graphics Theory and Applications, GRAPP 2013 and International Conference on Information Visualization Theory and Applications, IVAPP 2013, Barcelona, esp.
  • Molchanov V, Fofonov A, Rosswog S, Rosenthal P, Linsen L. . ‘SmoothViz: An Interactive Visual Analysis System for SPH Data.’ In Proceedings of the 8th International SPHERIC Workshop, 350–356.

  • Hauth S., Linsen L. . ‘Cycloids for polishing along double-spiral toolpaths in configuration space.’ International Journal of Advanced Manufacturing Technology 60, No. null: 343–356. doi: 10.1007/s00170-011-3608-8.
  • Kanzok T., Linsen L., Rosenthal P. . ‘On-the-fly luminance correction for rendering of inconsistently lit point clouds.’ Journal of WSCG 20, No. 3: 161–169.
  • Ivanovska T., Hahn H., Linsen L. . ‘On global MDL-based multichannel image restoration and partitioning.’ Journal of WSCG 20, No. 1: 11–20.
  • Ivanovska T., Linsen L., Hahn H., Völzke H. . ‘GPU implementations of a relaxation scheme for image partitioning: GLSL versus CUDA.’ Computing and Visualization in Science 14, No. 5: 217–226. doi: 10.1007/s00791-012-0176-x.

  • Dobrev P., Van Long T., Linsen L. . ‘A cluster hierarchy-based volume rendering approach for interactive visual exploration of multi-variate volume data.’ Contributed to the 16th International Workshop on Vision, Modeling and Visualization, VMV 2011, Berlin, deu. doi: 10.2312/PE/VMV/VMV11/137-144.
  • Wilhelm A., Linsen L. . ‘Data Viz VI.’ Computational Statistics 26, No. 4: 561–565. doi: 10.1007/s00180-011-0278-9.
  • Poco J., Etemadpour R., Paulovich F., Long T., Rosenthal P., Oliveira M., Linsen L., Minghim R. . ‘A framework for exploring multidimensional data with 3D projections.’ Computer Graphics Forum 30, No. 3: 1111–1120. doi: 10.1111/j.1467-8659.2011.01960.x.
  • Linsen L., Behrendt S. . ‘Linked treemap: A 3D treemap-nodelink layout for visualizing hierarchical structures.’ Computational Statistics 26, No. 4: 679–697. doi: 10.1007/s00180-011-0272-2.
  • Selinger J., Linsen L. . ‘Efficient curvature-optimized G2-continuous path generation with guaranteed error bound for 3-axis machining.’ Contributed to the 15th International Conference on Information Visualisation, IV 2011, London, gbr. doi: 10.1109/IV.2011.31.
  • Hauth S., Linsen L. . ‘Double-spiral tool path in configuration space.’ International Journal of Advanced Manufacturing Technology 54, No. null: 1011–1022. doi: 10.1007/s00170-010-3004-9.
  • van Long T., Linsen L. . ‘Visualizing high density clusters in multidimensional data using optimized star coordinates.’ Computational Statistics 26, No. 4: 655–678. doi: 10.1007/s00180-011-0271-3.
  • Hauth S., Richterich C., Glasmacher L., Linsen L. . ‘Constant cusp toolpath generation in configuration space based on offset curves.’ International Journal of Advanced Manufacturing Technology 53, No. null: 325–338. doi: 10.1007/s00170-010-2817-x.
  • Molchanov V, Rosenthal P, Linsen L. . ‘Variational Level-Set Detection of Local Isosurfaces from Unstructured Point-based Volume Data.’ In Scientific Visualization: Interactions, Features, Metaphors, edited by Hagen H, 222–239. Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum für Informatik. doi: 10.4230/DFU.Vol2.SciViz.2011.222.
  • Linsen L, Molchanov V, Dobrev P, Rosswog S, Rosenthal P, Long TV. . ‘SmoothViz: Visualization of Smoothed Particle Hydrodynamics Data.’ In Hydrodynamics --- Optimizing Methods and Tools, edited by Schulz H, 3–28. InTech. doi: 10.5772/28338.

  • Molchanov V., Rosenthal P., Linsen L. . ‘Non-iterative second-order approximation of signed distance functions for any isosurface representation.’ Computer Graphics Forum 29, No. 3: 1211–1220. doi: 10.1111/j.1467-8659.2009.01699.x.
  • Dobrev P., Rosenthal P., Linsen L. . ‘Interactive image-space point cloud rendering with transparency and shadows.’ Contributed to the 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010, Plzen, cze.
  • Rosenthal P., Molchanov V., Linsen L. . ‘A narrow band level set method for surface extraction from unstructured point-based volume data.’ Contributed to the 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2010, Plzen, cze.
  • Van Long T., Linsen L. . ‘Interactive exploration of hierarchical density clusters in gene expression data.’ Contributed to the 2nd International Conference on Knowledge and Systems Engineering, KSE 2010, Hanoi, vnm. doi: 10.1109/KSE.2010.22.
  • Ivanovska T., Schenk A., Homeyer A., Deng M., Dahmen U., Dirsch O., Hahn H., Linsen L. . ‘A fast and robust hepatocyte quantification algorithm including vein processing.’ BMC Bioinformatics 11, No. null. doi: 10.1186/1471-2105-11-124.
  • Molchanov V, Rosenthal P, Linsen L. . ‘Non-iterative Second-order Approximation of Signed Distance Function for Any Isosurface Representation.’ Computer Graphics Forum 29, No. 3: 1211–1220. doi: 10.1111/j.1467-8659.2009.01699.x.

  • Hauth S., Murtezaoglu Y., Linsen L. . ‘Extended linked voxel structure for point-to-mesh distance computation and its application to NC collision detection.’ CAD Computer Aided Design 41, No. 12: 896–906. doi: 10.1016/j.cad.2009.06.007.
  • Brasch S., Linsen L., Fuellen G. . ‘VANLO - Interactive visual exploration of aligned biological networks.’ BMC Bioinformatics 10, No. null: 327. doi: 10.1186/1471-2105-10-327.
  • Van Long T., Linsen L. . ‘Multiclustertree: Interactive visual exploration of hierarchical clusters in multidimensional multivariate data.’ Computer Graphics Forum 28, No. 3: 823–830. doi: 10.1111/j.1467-8659.2009.01468.x.
  • Linsen L., Rosenthal P., Van Long T. . ‘Linking multidimensional feature space cluster visualization to multifield surface extraction.’ IEEE Computer Graphics and Applications 29, No. 3: 85–89. doi: 10.1109/MCG.2009.45.
  • Rosenthal P., Linsen L. . ‘Enclosing surfaces for point clusters using 3D discrete voronoi diagrams.’ Computer Graphics Forum 28, No. 3: 999–1006. doi: 10.1111/j.1467-8659.2009.01448.x.
  • Brasch S., McPherson E., Linsen L. . ‘Interactive data visualisation for animating urban tree growth.’ International Journal of Modelling and Simulation 29, No. 3: 306–314. doi: 10.2316/Journal.205.2009.3.205-5020.

  • Ivanovska T., Schenk A., Dahmen U., Hahn H., Linsen L. . ‘Automatic hepatocyte quantification from histological images: Comparing pre-smoothing filters.’ Contributed to the 1st Eurographics Workshop on Visual Computing and Biomedicine, EG VCBM 2008, Delft, nld.
  • Linsen L., Van Long T., Rosenthal P., Rosswog S. . ‘Surface extraction from multi-field particle volume data using multi-dimensional cluster visualization.’ IEEE Transactions on Visualization and Computer Graphics 14, No. 6: 1483–1490. doi: 10.1109/TVCG.2008.167.
  • Rosenthal P., Linsen L. . ‘Smooth surface extraction from unstructured point-based volume data using PDEs.’ IEEE Transactions on Visualization and Computer Graphics 14, No. 6: 1531–1538. doi: 10.1109/TVCG.2008.164.

  • Rudnick S., Linsen L., McPherson E. . ‘Inverse modeling and animation of growing single-stemmed trees at interactive rates.’ Contributed to the 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007, WSCG'2007, Plzen, cze.
  • Ivanovska T., Linsen L. . ‘Converting RGB volume data to scalar fields for segmentation purposes.’ Contributed to the 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007, WSCG'2007, Plzen, cze.
  • Brasch S., McPherson E., Linsen L. . ‘Visualization of time-varying natural tree data.’ Contributed to the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007, Palma de Mallorca, esp.
  • Brasch S., Linsen L., Fuellen G. . ‘Visualization of aligned biological networks: A survey.’ Contributed to the 2007 International Conference on Cyberworlds, CW'07, Hannover, deu. doi: 10.1109/CW.2007.70.
  • Linsen L., Müller K., Rosenthal P. . ‘Splat-based ray tracing of point clouds.’ Contributed to the 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007, WSCG'2007, Plzen, cze.
  • Sreevalsan-Nair J., Van Nieuwenhuyse E., Hotz I., Linsen L., Hamann B. . ‘An interactive visual exploration tool for Northern California's water monitoring network.’ Contributed to the Visualization and Data Analysis 2007, San Jose, CA, usa. doi: 10.1117/12.703695.
  • Linsen L., Hamann B., Joy K. . ‘Wavelets for adaptively refined 3√2-subdivision meshes.’ International Journal of Computers and Applications 29, No. 3: 223–231.

  • Eichberger G., Perry C., Walker H., Hastings P., Linsen L., Frank L. . ‘Interactive 3D graphics for web-based data analysis and visualization for the Digital Fish Library (DFL).’ Contributed to the International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2006, usa. doi: 10.1145/1179622.1179818.
  • Sreevalsan-Nair J., Hamann B., Linsen L. . ‘Using ray intersection for dual isosurfacing.’ Contributed to the GRAPP 2006 - 1st International Conference on Computer Graphics Theory and Applications, Setubal, prt.
  • Park S., Linsen L., Kreylos O., Owens J., Hamann B. . ‘Discrete sibson interpolation.’ IEEE Transactions on Visualization and Computer Graphics 12, No. 2: 243–252. doi: 10.1109/TVCG.2006.27.
  • Vivodtzev F., Wiley D., Linsen L., Jones J., Amenta N., Hamann B., Joy K. . ‘Automatic feature-based surface mapping for brain cortices.’ Contributed to the Visualization and Data Analysis 2006, San Jose, CA, usa. doi: 10.1117/12.644541.
  • Linsen L., Löcherbach J., Berth M., Becher D., Bernhardt J. . ‘Visual analysis of gel-free proteome data.’ IEEE Transactions on Visualization and Computer Graphics 12, No. 4: 497–508. doi: 10.1109/TVCG.2006.82.

  • Linsen L., Karis B., McPherson E., Hamann B. . ‘Tree growth visualization.’ Contributed to the 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Plzen, cze.
  • Kanodia R., Linsen L., Hamann B. . ‘Multiple transparent material-enriched isosurfaces.’ Contributed to the 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Plzen, cze.
  • Linsen L., Löcherbach J., Berth M., Bernhardt J., Becher D. . ‘Differential protein expression analysis via liquid-chromatography/mass- spectrometry data visualization.’ Contributed to the VIS 05: IEEE Visualization 2005, Proceedings, Minneapolis, MN, usa. doi: 10.1109/VIS.2005.22.
  • Gray J., Linsen L., Hamann B., Joy K. . ‘Adaptive multi-valued volume data visualization using data-dependent error metrics.’ International Journal of Modelling and Simulation 25, No. 2: 135–143.

  • Linsen L., Pascucci V., Duchaineau M., Hamann B., Joy K. . ‘Wavelet-based multiresolution with n√2 subdivision.’ Computing 72, No. null: 129–142.
  • Park S., Budge B., Linsen L., Hamann B., Joy K. . ‘Multi-dimensional transfer functions for interactive 3D flow visualization.’ Contributed to the Proceedings - 12th Pacific Conference on Computer Graphics and Applications, PG 2004, Seoul, kor. doi: 10.1109/PCCGA.2004.1348348.

  • Pascucci V., Laney D., Frank R., Scorzelli G., Linsen L., Hamann B., Gygi F. . ‘Real-time monitoring of large scientific simulations.’ Contributed to the Proceedings of the 2003 ACM Symposium on Applied Computing, Melbourne, FL, usa.
  • Linsen L., Prautzsch H. . ‘Fan clouds - An alternative to meshes.’ In Geometry, Morphology, and Computational Imaging, edited by Springer, 39–57.
  • Linsen L., Hamann B., Joy K. . ‘Wavelets for Adaptively Refined 3√2-subdivision Meshes.’ Contributed to the Sixth IASTED International Conference on Computer Graphics and Imaging, Honolulu, HI, usa.

  • Linsen L., Pascucci V., Duchaineau M., Hamann B., Joy K. . ‘Hierarchical representation of time-varying volume data with 4√2 subdivision and quadrilinear B-spline wavelets.’ Contributed to the 10th Pacific Conference on Computer Graphics and Applications, PG 2002, chn. doi: 10.1109/PCCGA.2002.1167878.