Prof. Dr.-Ing. Lars Linsen

2018

SciVis Contest Award (1. Preis) – IEEE VIS: Visualization & Visual Analytics

2018

Best Paper Award – Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

• SFB 1450 - Z01: Interaktive und rechnergestützte Analyse von großen multiskalen Bildgebungsdaten (2025 – 2028)
  Teilprojekt in DFG-Verbund koordiniert an der Universität Münster: DFG - Sonderforschungsbereich | Förderkennzeichen: SFB 1450/2, Z01
• Visualisierung facettenreicher Daten: Ein einheitliches Konzept für die Analyse räumlich-zeitlicher Datenensembles – MFacet (2025 – 2028)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/32-1
• Pigmente - Eigenschaften und Einflüsse auf die Produkt-Qualität industrieller Lacke und anderer Oberflächenbeschichtungen – Pig-Pro-QuO (2025 – 2028)
  Gefördertes Einzelprojekt: MWIKE NRW - EFRE/JTF-Programm - Innovationswettbewerb Industrie.IN.NRW | Förderkennzeichen: EFRE-20800669; EFRE-20800668
• Retrospektive CT-Untersuchungen zur Schlüsselbeinossifikation - Entwicklung eines klinischen Entscheidungshilfesystems mit skalenbasierten Bewertungen und modernen Methoden des maschinellen Lernens zur Verbesserung der Gültigkeit und Zuverlässigkeit forensischer Altersbegutachtungen – Clavicle-ML (2024 – 2027)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/31-1; SCHM 1609/8-1
• VACS 2.0: Visuelle Analyse von Kohortenstudien (Visuelle Analyse von zeitveränderlichen, hochdimensionalen, heterogenen und unvollständigen Daten mit Anwendung auf populationsbasierte Studien) (2023 – 2025)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/23-3
• SFB 1450 - Z01: Interaktive und rechnergestützte Analyse von großen multiskalen Bildgebungsdaten (2021 – 2024)
  Teilprojekt in DFG-Verbund koordiniert an der Universität Münster: DFG - Sonderforschungsbereich | Förderkennzeichen: SFB 1450/1, Z01
• HiRes-Hemo: Hämodynamik in hoher räumlich-zeitlicher Auflösung durch vergleichende visuelle Analyse von 4D PC-MRI-Daten und CFD-Simulationsensembles – HiRes (2022 – 2024)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/28-1; HO 5231/3-1
• PVS-VISIX Projekt (2022 – 2023)
  Gefördertes Einzelprojekt: PVS Spektrum Entwicklungs- und Dienstleistungsgesellschaft mbH
• Greifbare Interaktion: Benutzerinteraktionskonzepte basierend auf Greifverhalten (2020 – 2023)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/26-1; VA 1393/2-1
• Interaktive Visualisierung und Analyse der mehrdimensionalen Daten anhand Projektionen (2018 – 2022)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: MO 3050/2-1
• Visuelle Analyse von Mehrlauf-Mehrfeld-Simulationsdaten (2018 – 2021)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/21-2
• Unsicherheit in der medizinischen Visualisierung: Modellierung, visuelle Kodierung und interaktive Analyse (2019 – 2021)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/19-2
• VACS: Visuelle Analyse heterogener medizinischer Daten aus Kohortenstudien – VACS (2017 – 2019)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/23-1
• Visuelle Analyse von Mehrlauf-Mehrfeld-Simulationsdaten (2018 – 2019)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/21-1
• Unsicherheit in der medizinischen Visualisierung: Modellierung, visuelle Kodierung und interaktive Analyse (2017 – 2018)
  Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/19-1

• Borrelli, Gabriel, Ittermann, Till, und Linsen, Lars. 2025. „Mapping Mental Models of Uncertainty to Parallel Coordinates by Probabilistic Brushing.“ Preprint. Computer Graphics Forum 44 (3). doi: 10.1111/cgf.70103.
• Peivandi, Armin Darius, Holtkamp, Michael, Rave, Hennes, Linsen, Lars, Martens, Sven, Müller, Klaus-Michael, Karst, Uwe, und Martens, Sabrina. 2025. „Rapid versus slow degeneration and complications of biomaterials in patients with congenital heart disease.“ Cardiovascular Pathology 75. doi: 10.1016/j.carpath.2024.107712.
• Molchanov, Vladimir, Rave, Hennes, und Linsen, Lars. 2025. „Efficient Regularization-based Normalization for Interactive Multidimensional Data Analysis Without Scaling Artifacts.“ Journal of WSCG 33 (1): 43–52. doi: 10.24132/JWSCG.2025-5.
• Kronenberg, Katharina, Rave, Hennes, Ghaffari-Tabrizi-Wizsy, Nassim, Nyckees, Danae, Elinkmann, Matthias, Freitak, Dalial, Linsen, Lars, Gonzalez de Vega, Raquel, und Clases, David. 2025. „Exploring high-dimensional LA-ICP-TOFMS data with uniform manifold approximation and projection (UMAP).“ Journal of Analytical Atomic Spectrometry. doi: 10.1039/D5JA00215J.
• Molchanov, Vladimir*, Rave, Hennes*, und Linsen, Lars. 2025. „A Decluttering Lens for Scatterplots.“ Beitrag präsentiert auf der IEEE Visualization and Visual Analytics (VIS), Vienna doi: 10.1109/VIS60296.2025.00031.
• Cutura, Rene, Rave, Hennes, Ngo, Quynh Quang, Molchanov, Vladimir, Linsen, Lars, Weiskopf, Daniel, und Sedlmair, Michael. 2025. „SiGrid: Gridifying Scatterplots with Sector-Based Regularization and Hagrid.“ Beitrag präsentiert auf der IEEE Visualization and Visual Analytics (VIS), Vienna doi: 10.1109/VIS60296.2025.00032.
• Sabbagh Gol, Reyhaneh, Valkov, Dimitar, und Linsen, Lars. 2025. „XMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics.“ Preprint. Beitrag präsentiert auf der Vision, Modeling, and Visualization (VMV), Erlangen doi: 10.2312/vmv.20251233.
• Rave, Hennes, Molchanov, Vladimir, und Linsen, Lars. 2024. „Uniform Sample Distribution in Scatterplots via Sector-based Transformation.“ Beitrag präsentiert auf der 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, und Linsen, Lars. 2024. „Interactive visual formula composition of multidimensional data classifiers.“ Information Visualization. doi: 10.1177/14738716241270288.
• Rave, Hennes, Evers, Marina, Gerrits, Tim, und Linsen, Lars. 2024. „Region-based Visualization in Hierarchically Clustered Ensemble Volumes.“ Beitrag präsentiert auf der International Symposium on Vision, Modeling, and Visualization (VMV 2024), Munich doi: 10.2312/vmv.20241206.
• Evers, Marina, Leistikow, Simon, Rave, Hennes, und 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, und 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, und Linsen, Lars. 2024. „Visual analytics of soccer player performance using objective ratings.“ Information Visualization 1–15. doi: 10.1177/14738716231220539.
• Borrelli, Gabriel, Evers, Marina, und Linsen, Lars. 2024. „Efficient Adaptive Multiresolution Aggregations of Spatio-temporal Ensembles.“ Beitrag präsentiert auf der EuroVis, Odense doi: 10.2312/pgv.20241128.
• Borrelli, Gabriel, Hagemann, Lars, Steinkühler, Jannik, Derstroff, Adrian, Evers, Marina, Huesmann, Karim, Leistikow, Simon, Rave, Hennes, Gol, Reyhaneh Sabbagh, und 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, und Linsen, Lars. 2023. „Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles.“ In Workshop on Visualisation in Environmental Sciences (EnvirVis), herausgegeben von Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer und Dirk. -: Eurographics Association. doi: 10.2312/envirvis.20231108.
• Evers, M, und 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, und Linsen, L. 2022. „Coherent Topological Landscapes for Simulation Ensembles.“ In Computer Vision, Imaging and Computer Graphics Theory and Applications, herausgegeben von Bouatouch K. et al.. Springer VDI Verlag.
• Schwarz, C, Buchholz, R, Jawad, M, Hoesker, V, Terwesten-Solé, C, Karst, U, Linsen, L, Vogl, T, Hoerr, V, Wildgruber, M, und 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, und 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., und 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, und Linsen, L. 2022. „Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates.“ präsentiert auf der EuroVis 2022, Rom.
• Evers, Marina, Wittkowski, Raphael, und Linsen, Lars. 2022. „ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures.“ In 2022 IEEE Visualization and Visual Analytics (VIS), herausgegeben von -. Oklahoma City: Wiley-IEEE Press. doi: 10.1109/VIS54862.2022.00039.
• Heimes, Karl, Evers, Marina, Gerrits, Tim, Gyawali, Sandeep, Sinden, David, Preusser, Tobias, und 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, herausgegeben von Renata G. Raidou, Björn Sommer, Torsten W. Kuhlen, Michael Krone, Thomas Schultz und Hsiang-Yun Wu. -: 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., und 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, herausgegeben von -. 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., und 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.
• Huesmann, K., und Linsen, L. 2022. „SimilarityNet: A Deep Neural Network for Similarity Analysis Within Spatio-temporal Ensembles.“ Computer Graphics Forum 41 (3): 379–389. doi: 10.1111/cgf.14548.
• Huesmann, Karim, Rodriguez, Luis Garcia, Linsen, Lars, und 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 Springer International Publishing.
• Nahardani, A, Leistikow, S, Krämer, M, Herrmann, KH, Zhao, WT, Güllmar, D, Linsen, L, Reichenbach, JR, und 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.“ Beitrag präsentiert auf der Proc. Intl. Soc. Mag. Reson. Med. 29, Virtual
• Evers, M, Huesmann, K, und 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, und Linsen, Lars. 2021. „Axes Bundling and Brushing in Star Coordinates.“ Beitrag präsentiert auf der Vision, Modeling and Visualization, Dresden doi: 10.2312/vmv.20211365.
• Evers, M, Leistikow, S, Derstroff, A, Gerrits, T, Huesmann, K, Hollenbeck, J, Seljami, J, und Linsen, L. 2021. „Visual Analysis of Spatio-temporal Features in Multi-field Earth's Mantle Convection Simulations.“ In Proceedings of IEEE VIS 2021, herausgegeben von -. Proceedings of IEEE VIS 2021: Wiley-IEEE Press.
• Jawad, M, Soltwisch, J, Dreisewerd, K, und 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.
• Huesmann, K, Klemm, S, Linsen, L, und Risse, B. 2020. 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, und 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), Bd. 3: IVAPP , herausgegeben von A Kerren, C Hurter und J Braz. SciTePress.
• Leistikow, S, Nahardani, A, Hoerr, V, und 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, herausgegeben von B Kozlíková, M Krone, NN Smit, K Nieselt und RG Raidou. Eurographics Association. doi: 10.2312/vcbm.20201180.
• Leistikow, S, Huesmann, K, Fofonov, A, und 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, und 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, und Linsen, L. 2020. „Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections.“ In Vision, Modeling, and Visualization, herausgegeben von J Krüger, M Niessner und J Stückler. Eurographics Association. doi: 10.2312/vmv.20201190.
• Jawad, M, Molchanov, V, und Linsen, L. 2020. „A Reproducibility Study for Visual MRSI Data Analytics.“ In Computer Vision, Imaging and Computer Graphics Theory and Applications Cham: Springer International Publishing. doi: 10.1007/978-3-030-41590-7_15.
• Herick, M, Molchanov, V, und 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, Bd. 3 SciTePress. doi: 10.5220/0008956300540061.
• Molchanov, V, und Linsen, L. 2020. „Smooth Map Deformation Using Integral Images.“ Journal of WSCG 1-2: 18–26.
• Molchanov, V, Hamid, S, und Linsen, L. 2020. „Efficient Morphing of Shape-preserving Star Coordinates.“ In 2020 IEEE Pacific Visualization Symposium (PacificVis) Wiley-IEEE Press. doi: 10.1109/PacificVis48177.2020.8199.
• Shahid, MLUR, Molchanov, V, Mir, J, Shaukat, F, und 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, und and, Hoerr V. 2020. „Evaluation of potential hemodynamic biomarkers in experimental PAH using center-out stack-of-stars 4D phase contrast velocity mapping.“ Beitrag präsentiert auf der ISMRM 2020, Virtual
• Rave, H., Fincke, J., Averkamp, S., Tangerding, B., Wehrenberg, L.P., Gerrits, T., Huesmann, K., Leistikow, S., und Linsen, L. 2020. „Interactive Visual Analysis of Oceanographic Simulation Ensemble Data.“ In Proceedings of IEEE VIS 2020 - Winner of the 2020 SciVis Contest 2020, herausgegeben von IEEE. Proceedings of IEEE VIS 2020: Wiley-IEEE Press.
• Hesse-Edenfeld, C, Steinke, MJ, Santalidis, N, Huesmann, K, Leistikow, S, und 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, und 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, und Linsen, L. 2019. „A Visual Analytics Tool for Cohorts in Motion Data.“ In Vision, Modeling and Visualization, herausgegeben von H Schulz, M Teschner und M Wimmer. Eurographics Association. doi: 10.2312/vmv.20191329.
• Ngo, Q.Q., Hütt, M., und Linsen, L. 2019. „Visual Analytics of Simulation Ensembles for Network Dynamics.“ In Vision, Modeling and Visualization, herausgegeben von H Schulz, M Teschner und M Wimmer. Eurographics Association. doi: 10.2312/vmv.20191322.
• Valkov, D, Mantler, A, und 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, und 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, und 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, und Trémeau, AHrsg. 2019. Communications in Computer and Information Science, Bd. 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 Springer VDI Verlag. doi: 10.1007/978-3-030-12209-6.
• Evers, M, und 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, und Smit, N, Hrsg. 2019. Communications in Computer and Information Science, EuroVis Workshop on Trustworthy Visualization (TrustVis) Selbstverlag / Eigenverlag.
• Gebauer, E, und Linsen, L. 2019. „Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles.“ In EuroVis Workshop on Trustworthy Visualization (TrustVis), herausgegeben von R Kosara, K Lawonn, L Linsen und N Smit. Eurographics Association. doi: 10.2312/trvis.20191184.
• Kocev, B, Hahn, HK, Linsen, L, Wells, WM, und 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, und 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, und 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, und 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, und 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, SciTePress. doi: 10.5220/0007571801180128.
• Matute, J, und 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, und Linsen, L. 2019. „Scatterplot Summarization by Constructing Fast and Robust Principal Graphs from Skeletons.“ Beitrag präsentiert auf der PacificVis 2019, Bangkok, Thailand
• Hamid, S, Derstroff, A, Klemm, S, Ngo, Q.Q., Jiang, X, und 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, herausgegeben von Daniel and Nabney Archambault und Jaakko Ian and Peltonen. Eurographics Association. doi: 10.2312/mlvis.20191160.
• Matute, J., Telea, A., und 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., und Linsen, L. 2018. „Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data.“ Information 9 (7). doi: 10.3390/info9070156.
• Rosenthal, P, Molchanov, V, und 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 SciTePress. doi: 10.5220/0006537200170028.
• Molchanov, V, und 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 SciTePress. doi: 10.5220/0006541900290039.
• Leistikow, S, Huesmann, K, Fofonov, A, und 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, und 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, und 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, Bd. CSRN 2801 doi: 10.24132/CSRN.2018.2801.3.
• Pascale, AM, Ruge, S, Hauth, S, Korda{ß}, B, und 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, und 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, und 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, und Linsen, L. 2018. „Interactive Visual Exploration of Teleconnections in Atmospheric Datasets.“ In Workshop on Visualisation in Environmental Sciences (EnvirVis), herausgegeben von K Rink, D Zeckzer, R Bujack und S Jänicke. 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, und Linsen, L. 2018. „Visual Analysis of Regional Anomalies in Myocardial Motion.“ In Eurographics Workshop on Visual Computing for Biology and Medicine, herausgegeben von Puig A Puig, T Schultz, A Vilanova, I Hotz, B Kozlikova und P Vázquez. Eurographics Association. doi: 10.2312/vcbm.20181239.
• Fofonov, A, und 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, und 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, und 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, und 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, und 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, und 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, und 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., und Linsen, L. 2018. „Reality alert: Improving users' physical safety in immersive virtual environments.“ In -, herausgegeben von -. -: ACM Press. doi: 10.1145/3267782.3274769.
• Ivanovska, T, Herzog, S, Matute, J, Ciet, P, Linsen, L, Duijts, L, Tiddens, H, Völzke, H, Peters, A, und 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, und Braz, J, Hrsg. 2017. 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, und 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, und Imai, FHHrsg. 2017. Communications in Computer and Information Science, Bd. 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 Springer VDI Verlag. doi: 10.1007/978-3-319-64870-5.
• Al-Taie, A., Hahn, H., und 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., und 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., und 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.
• Ngo, Q.Q., Hütt, M, und Linsen, L. 2017. „Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics.“ Beitrag präsentiert auf der EuroVis 2017 Poster Proceedings, Barcelona, Spain
• Matute, J, und Linsen, L. 2017. „Visual Stratification for Epidemiological Analysis.“ Beitrag präsentiert auf der EuroVis 2017 Poster Proceedings, Barcelona, Spain
• Ristovski, G, Hahn, H, und Linsen, L. 2017. „Uncertainty Visualization of Stenotic Regions in Vascular Structures.“ Beitrag präsentiert auf der EuroVis 2017 Poster Proceedings, Barcelona, Spain
• Jawad, M, und Linsen, L. 2017. „Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors.“ In EuroVis 2017 - Posters, herausgegeben von Anna Puig Puig and Tobias Isenberg. Barcelona, Spain: The Eurographics Association. doi: 10.2312/eurp.20171178.
• Matute, J, und Linsen, L. 2016. „Visual Analysis of Mixed Numerical and Categorical Data in Cohort Studies.“ Beitrag präsentiert auf der IEEE VIS Poster Proceedings, Baltimore, USA
• Fofonov, A, und Linsen, L. 2016. „MultiVISA: A Visual Analysis System for Simulation Data.“ Beitrag präsentiert auf der 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, und Linsen, L. 2016. „Spatio-temporal Visualization of Regional Myocardial Velocities.“ In Eurographics Workshop on Visual Computing for Biology and Medicine, herausgegeben von S Bruckner, B Preim, A Vilanova, H Hauser, A Hennemuth und A Lundervold. Eurographics Association. doi: 10.2312/vcbm.20161275.
• Fofonov, A., Molchanov, V., und 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., und Hege, H. 2016. „Preface.“ In Visualization in Medicine and Life Sciences III, Bd. null aus Mathematics and Visualization, herausgegeben von L. Linsen, B. Hamann und H. Hege. Springer VDI Verlag.
• Razavi, M., Wang, L., Tan, T., Karssemeijer, N., Linsen, L., Frese, U., Hahn, H., und Zachmann, G. 2016. „Novel morphological features for non-mass-like breast lesion classification on DCE-MRI.“ In Bd. null aus Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer. doi: 10.1007/978-3-319-47157-0_37.
• Chitiboi, T., Hennemuth, A., Schnell, S., Chowdhary, V., Honarmand, A., Markl, M., Linsen, L., und Hahn, H. 2016. „Contour tracking and probabilistic segmentation of tissue phase mapping MRI.“ In Bd. 9784 aus Medical Imaging SPIE. doi: 10.1117/12.2216921.
• Etemadpour, R., Linsen, L., Paiva, J., Crick, C., und Forbes, A. 2016. „Choosing visualization techniques for multidimensional data projection tasks: A guideline with examples.“ In Bd. 598 aus Communications in Computer and Information Science Springer. doi: 10.1007/978-3-319-29971-6_9.
• Chitiboi, T., Neugebauer, M., Schnell, S., Markl, M., und Linsen, L. 2016. „3D superquadric glyphs for visualizing myocardial motion.“ In Bd. null aus IEEE Scientific Visualization Conference Wiley-IEEE Press. doi: 10.1109/SciVis.2015.7429504.
• Ngo, Q.Q., Hütt, M., und 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., und Linsen, L. 2016. „Fast uncertainty-guided fuzzy C-means segmentation of medical images.“ In Bd. null aus Mathematics and Visualization Springer. doi: 10.1007/978-3-319-24523-2_2.
• Fofonov, A., und Linsen, L. 2016. „Fast and robust isosurface similarity maps extraction using quasi-Monte Carlo approach.“ In Bd. null aus European Conference on Data Analysis Kluwer Academic. doi: 10.1007/978-3-319-25226-1_42.
• Long, T., und Linsen, L. 2016. „Efficient reordering of parallel coordinates and its application to multidimensional biological data visualization.“ In Bd. null aus Mathematics and Visualization 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., und 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, und 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 Goslar Germany, Germany: Eurographics Association. doi: 10.2312/eurorv3.20161107.
• Vican, V, Blindu, C, Fofonov, A, Ucinska, M, Bendul, J, und 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), herausgegeben von M Freitag, H Kotzab und J Pannek. Cham: Springer International Publishing. doi: 10.1007/978-3-319-45117-6_10.
• Ristovski, G, Garbers, N, Hahn, H, Preusser, T, und Linsen, L. 2016. „Capturing and Visualizing Uncertainty in Liver Ablation.“ Beitrag präsentiert auf der IEEE VIS Poster Proceedings, Baltimore, 2016
• Shahid, MLUR, Chitiboi, T, Ivanovska, T, Molchanov, V, Völzke, H, Hahn, HK, und 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, und 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., und 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., und Linsen, L. 2015. „Foreword.“ In Bd. null aus International Conference on Information Visualization Theory and Applications SciTePress.
• MuhammadLaiq, UrRahman S., Chitiboi, T., Ivanovska, T., Molchanov, V., Völzke, H., Hahn, H., und Linsen, L. 2015. „Automatic pharynx segmentation from MRI data for obstructive sleep apnea analysis.“ In Bd. 1 aus International Conference on Computer Vision Theory and Applications SciTePress.
• Molchanov, V., und Linsen, L. 2015. „Visual exploration of patterns in multi-run time-varying multi-field simulation data using projected views.“ In Bd. null aus International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision Vaclav Skala - Union Agency.
• Last, P., Hering-Bertram, M., Jung, T., und Linsen, L. 2015. „Visual encoding of automatic identification system (AIS) data for radar systems.“ In Bd. null aus International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision Vaclav Skala - Union Agency.
• Al-Taie, A., Hahn, H., und Linsen, L. 2015. „Point-wise diversity measure and visualization for ensemble of classifiers with application to image segmentation.“ In Bd. 1 aus International Conference on Computer Vision Theory and Applications SciTePress.
• Etemadpour, R., Motta, R., Paiva, J., Minghim, R., De, Oliveira M., und 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., und 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., und 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., und Forbes, A. 2015. „A user-centric taxonomy for multidimensional data projection tasks.“ In Bd. null aus International Conference on Information Visualization Theory and Applications SciTePress.
• Kanzok, T., Linsen, L., und Rosenthal, P. 2015. „An interactive visualization system for huge architectural laser scans.“ In Bd. null aus International Conference on Computer Graphics Theory and Applications SciTePress.
• Antonov, A., und 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, Bd. null , herausgegeben von Springer-Verlag. Springer International Publishing. doi: 10.1007/978-3-319-13865-7_23.
• Molchanov, V, und 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., und 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., und Linsen, L. 2014. „Role of human perception in cluster-based visual analysis of multidimensional data projections.“ In Bd. null SciTePress.
• Etemadpour, R., Olk, B., und Linsen, L. 2014. „Eye-tracking investigation during visual analysis of projected multidimensional data with 2D scatterplots.“ In Bd. null SciTePress.
• Chitiboi, T., Hennemuth, A., Tautz, L., Huellebrand, M., Frahm, J., Linsen, L., und Hahn, H. 2014. „Context-based segmentation and analysis of multi-cycle real-time cardiac MRI.“ In Bd. null aus International Symposium on Biomedical Imaging Wiley-IEEE Press.
• Last, P., Bahlke, C., Hering-Bertram, M., und 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.
• Ristovski, G., Preusser, T., Hahn, H., und 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., und Zhang, E. 2014. „Future challenges and unsolved problems in multi-field visualization.“ In Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization, Bd. 37 aus Mathematics and Visualization, herausgegeben von C.D. Hansen, M. Chen, C.R. Johnson, A.E. Kaufman und H. and Hagen. Springer VDI Verlag. doi: 10.1007/978-1-4471-6497-5_19.
• Acevedo, C., Chitiboi, T., Linsen, L., und Hahn, H. 2014. „Automatic classification of salient boundaries in object-based image segmentation.“ In Bd. null aus Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen Kluwer Academic. doi: 10.1007/978-3-642-54111-7_72.
• Kocev, B., Ritter, F., und 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, Bd. 37 aus Mathematics and Visualization, herausgegeben von C.D. Hansen, M. Chen, C.R. Johnson, A.E. Kaufman und and H. Hagen. Springer VDI Verlag. doi: 10.1007/978-1-4471-6497-5_16.
• Molchanov, V, Fofonov, A, Rosswog, S, Rosenthal, P, und Linsen, L. 2013. „SmoothViz: An Interactive Visual Analysis System for SPH Data.“ In Proceedings of the 8th International SPHERIC Workshop
• Etemadpour, R., Monson, E., und Linsen, L. 2013. „The effect of stereoscopic immersive environments on projection-based multi-dimensional data visualization.“ In Bd. null doi: 10.1109/IV.2013.51.
• Chitiboi, T., Hennemuth, A., Tautz, L., Stolzmann, P., Donati, O., Linsen, L., und Hahn, H. 2013. „Automatic detection of myocardial perfusion defects using object-based myocardium segmentation.“ In Bd. 40
• Günther, C., Kanzok, T., Linsen, L., und Rosenthal, P. 2013. „A GPGPU-based pipeline for accelerated rendering of point clouds.“ Journal of WSCG 21 (2): 153–161.
• Chitiboi, T., Homeyer, A., Linsen, L., und Hahn, H. 2013. „Object-based boundary properties.“ In Bd. null aus Workshop on Image Processing for Medicine: Algorithms - Systems - Applications Kluwer Academic. doi: 10.1007/978-3-642-36480-8_36.
• Molchanov, V., Fofonov, A., und Linsen, L. 2013. „Frequency-based progressive rendering of continuous scatterplots.“ Journal of WSCG 21 (1): 49–58.
• Ristovski, G., Hunter, M., Olk, B., und Linsen, L. 2013. „EyeC: Coordinated views for interactive visual exploration of eye-tracking data.“ In Bd. null doi: 10.1109/IV.2013.32.
• Kanzok, T., Süß, F., Linsen, L., und Rosenthal, P. 2013. „Efficient removal of inconsistencies in large multi-scan point clouds.“ In Bd. null aus International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision Vaclav Skala - Union Agency.
• Molchanov, V., Fofonov, A., und 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., und De, Oliveira M. 2013. „Visualizing temporal behavior in multifield particle simulations.“ In Bd. null
• Hauth, S., und 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.
• Kanzok, T., Linsen, L., und 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., und 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., und 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.
• Molchanov, V, Rosenthal, P, und Linsen, L. 2011. „Variational Level-Set Detection of Local Isosurfaces from Unstructured Point-based Volume Data.“ In Scientific Visualization: Interactions, Features, Metaphors, Bd. 2 aus Dagstuhl Follow-Ups, herausgegeben von H Hagen. Dagstuhl, Germany: Dagstuhl Publishing. doi: 10.4230/DFU.Vol2.SciViz.2011.222.
• Linsen, L, Molchanov, V, Dobrev, P, Rosswog, S, Rosenthal, P, und Long, TV. 2011. „SmoothViz: Visualization of Smoothed Particle Hydrodynamics Data.“ In Hydrodynamics --- Optimizing Methods and Tools, herausgegeben von H Schulz. IntechOpen. doi: 10.5772/28338.
• Dobrev, P., Van, Long T., und Linsen, L. 2011. „A cluster hierarchy-based volume rendering approach for interactive visual exploration of multi-variate volume data.“ In Bd. null doi: 10.2312/PE/VMV/VMV11/137-144.
• Wilhelm, A., und 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., und 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., und 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., und Linsen, L. 2011. „Efficient curvature-optimized G2-continuous path generation with guaranteed error bound for 3-axis machining.“ In Bd. null doi: 10.1109/IV.2011.31.
• Hauth, S., und 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., und 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., und 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, und 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.
• Molchanov, V., Rosenthal, P., und 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., und Linsen, L. 2010. „Interactive image-space point cloud rendering with transparency and shadows.“ In Bd. null
• Rosenthal, P., Molchanov, V., und Linsen, L. 2010. „A narrow band level set method for surface extraction from unstructured point-based volume data.“ In Bd. null
• Van, Long T., und Linsen, L. 2010. „Interactive exploration of hierarchical density clusters in gene expression data.“ In Bd. null doi: 10.1109/KSE.2010.22.
• Ivanovska, T., Schenk, A., Homeyer, A., Deng, M., Dahmen, U., Dirsch, O., Hahn, H., und Linsen, L. 2010. „A fast and robust hepatocyte quantification algorithm including vein processing.“ BMC Bioinformatics 11 (null). doi: 10.1186/1471-2105-11-124.
• Hauth, S., Murtezaoglu, Y., und 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.
• Brasch, S., Linsen, L., und 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., und 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., und T., Van Long. 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., und 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., und 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.
• Ivanovska, T., Schenk, A., Dahmen, U., Hahn, H., und Linsen, L. 2008. „Automatic hepatocyte quantification from histological images: Comparing pre-smoothing filters.“ In Bd. null
• Linsen, L.Van Long T., und Rosenthal, P.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., und 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.
• Rudnick, S., Linsen, L., und McPherson, E. 2007. „Inverse modeling and animation of growing single-stemmed trees at interactive rates.“ In Bd. null
• Ivanovska, T., und Linsen, L. 2007. „Converting RGB volume data to scalar fields for segmentation purposes.“ In Bd. null
• Brasch, S., McPherson, E., und Linsen, L. 2007. „Visualization of time-varying natural tree data.“ In Bd. null
• Brasch, S., Linsen, L., und Fuellen, G. 2007. „Visualization of aligned biological networks: A survey.“ In Bd. null doi: 10.1109/CW.2007.70.
• Linsen, L., Müller, K., und Rosenthal, P. 2007. „Splat-based ray tracing of point clouds.“ In Bd. null
• Sreevalsan-Nair, J., Van, Nieuwenhuyse E., Hotz, I., Linsen, L., und Hamann, B. 2007. „An interactive visual exploration tool for Northern California's water monitoring network.“ In Bd. 6495 doi: 10.1117/12.703695.
• Linsen, L., Hamann, B., und Joy, K. 2007. „Wavelets for adaptively refined 3√2-subdivision meshes.“ International Journal of Computers and Applications 29 (3): 223–231.
• Eichberger, G., Perry, C., Walker, H., Hastings, P., Linsen, L., und Frank, L. 2006. „Interactive 3D graphics for web-based data analysis and visualization for the Digital Fish Library (DFL).“ In Bd. null aus International Conference on Computer Graphics and Interactive Techniques ACM Press. doi: 10.1145/1179622.1179818.
• Sreevalsan-Nair, J., Hamann, B., und Linsen, L. 2006. „Using ray intersection for dual isosurfacing.“ In Bd. null
• Park, S., Linsen, L., Kreylos, O., Owens, J., und 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., und Joy, K. 2006. „Automatic feature-based surface mapping for brain cortices.“ In Bd. 6060 doi: 10.1117/12.644541.
• Linsen, L., Löcherbach, J., Berth, M., Becher, D., und 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.
• Linsen, L., Karis, B., McPherson, E., und Hamann, B. 2005. „Tree growth visualization.“ In Bd. null
• Kanodia, R., Linsen, L., und Hamann, B. 2005. „Multiple transparent material-enriched isosurfaces.“ In Bd. null
• Linsen, L., Löcherbach, J., Berth, M., Bernhardt, J., und Becher, D. 2005. „Differential protein expression analysis via liquid-chromatography/mass- spectrometry data visualization.“ In Bd. null doi: 10.1109/VIS.2005.22.
• Gray, J., Linsen, L., Hamann, B., und Joy, K. 2005. „Adaptive multi-valued volume data visualization using data-dependent error metrics.“ International Journal of Modelling and Simulation 25 (2): 135–143.
• Linsen, L., Pascucci, V., Duchaineau, M., Hamann, B., und Joy, K. 2004. „Wavelet-based multiresolution with n√2 subdivision.“ Computing 72 (null): 129–142.
• Park, S., Budge, B., Linsen, L., Hamann, B., und Joy, K. 2004. „Multi-dimensional transfer functions for interactive 3D flow visualization.“ In Bd. null doi: 10.1109/PCCGA.2004.1348348.
• Pascucci, V., Laney, D., Frank, R., Scorzelli, G., Linsen, L., Hamann, B., und Gygi, F. 2003. „Real-time monitoring of large scientific simulations.“ In Bd. null
• Linsen, L., und Prautzsch, H. 2003. „Fan clouds - An alternative to meshes.“ In Geometry, Morphology, and Computational Imaging, Bd. 2616 aus Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), herausgegeben von Springer.
• Linsen, L., Hamann, B., und Joy, K. 2003. „Wavelets for Adaptively Refined 3√2-subdivision Meshes.“ In Bd. null , herausgegeben von Hamza M.H..
• Linsen, L., Pascucci, V., Duchaineau, M., Hamann, B., und Joy, K. 2002. „Hierarchical representation of time-varying volume data with 4√2 subdivision and quadrilinear B-spline wavelets.“ In Bd. null aus Pacific Conference on Computer Graphics and Applications Wiley-IEEE Computer Society Press. doi: 10.1109/PCCGA.2002.1167878.

Betreute Promotionen

• Ngo, Quynh (2020): Visuelle Ähnlichkeitsanalyse für dynamische Systeme
• Matute Flores, Jose Alejandro (2020): Visuelle Analyse von heterogenem medizinischen Daten für Kohortenstudien

Betreute Habilitation

• Molchanov, Vladimir (2025): Interaktive lineare Projektionen für mehrdimensionale Daten mit räumlicher Konnektivität

  Betreuung

  Telea, Alex

  Theisel, Holger

  Weiskopf, Daniel