Prof. Dr.-Ing. Lars Linsen

Prof. Dr.-Ing. Lars Linsen

Einsteinstr. 62
48149 Münster

  • Preise

    SciVis Contest Award (1. Preis) – IEEE VIS: Visualization & Visual Analytics
    Best Paper Award – Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
  • Lehre

    Seminare
    Sonstige Lehrveranstaltungen

    Vorlesung
    Seminare
    Sonstige Lehrveranstaltungen

    Seminare
    Sonstige Lehrveranstaltung
  • Projekte

    • Clavicle-ML – 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 ()
      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) ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/23-3
    • SFB 1450 - Z01: Interaktive und rechnergestützte Analyse von großen multiskalen Bildgebungsdaten ()
      Teilprojekt in DFG-Verbund koordiniert an der Universität Münster: DFG - Sonderforschungsbereich | Förderkennzeichen: SFB 1450/1, Z01
    • HiRes – HiRes-Hemo: Hämodynamik in hoher räumlich-zeitlicher Auflösung durch vergleichende visuelle Analyse von 4D PC-MRI-Daten und CFD-Simulationsensembles ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/28-1; HO 5231/3-1
    • PVS-VISIX Projekt ()
      Gefördertes Einzelprojekt: PVS Spektrum Entwicklungs- und Dienstleistungsgesellschaft mbH
    • Greifbare Interaktion: Benutzerinteraktionskonzepte basierend auf Greifverhalten ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 530/26-1; VA 1393/2-1
    • Interaktive Visualisierung und Analyse der mehrdimensionalen Daten anhand Projektionen ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: MO 3050/2-1
    • Visuelle Analyse von Mehrlauf-Mehrfeld-Simulationsdaten ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/21-2
    • Unsicherheit in der medizinischen Visualisierung: Modellierung, visuelle Kodierung und interaktive Analyse ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/19-2
    • VACS – VACS: Visuelle Analyse heterogener medizinischer Daten aus Kohortenstudien ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/23-1
    • Visuelle Analyse von Mehrlauf-Mehrfeld-Simulationsdaten ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/21-1
    • Unsicherheit in der medizinischen Visualisierung: Modellierung, visuelle Kodierung und interaktive Analyse ()
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: LI 1530/19-1
  • Publikationen

    • , , , , , , , , , , , und . . „Visual analytics of soccer player performance using objective ratings.Information Visualization, Nr. 1–15 doi: 10.1177/14738716231220539.
    • , , und . . „Efficient Adaptive Multiresolution Aggregations of Spatio-temporal Ensembles.“ Beitrag präsentiert auf der EuroVis, Odense doi: 10.2312/pgv.20241128.
    • , , und . . „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.
    • , , , , , , und . . „Interactive visual formula composition of multidimensional data classifiers.Information Visualization doi: 10.1177/14738716241270288.
    • , , , und . . „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.
    • , , , und . . „Interactive Visual Analysis of Spatial Sensitivities.IEEE Transactions on Visualization and Computer Graphics: 115. doi: 10.1109/TVCG.2024.3433001.
    • , , und . . „De-cluttering Scatterplots with Integral Images.IEEE Transactions on Visualization and Computer Graphics: 113. doi: 10.1109/TVCG.2024.3381453.
    • , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/envirvis.20231108.
    • , , , , , , , , , und . . „2022 IEEE Scientific Visualization Contest Winner: Multifield Analysis of Vorticity-Driven Lateral Spread in Wildfire Ensembles.IEEE Computer Graphics and Applications, Nr. 44 (1): 4049. doi: 10.1109/MCG.2023.3310298.
    • , und . . „Multi-dimensional parameter-space partitioning of spatio-temporal simulation ensembles.Computers and Graphics, Nr. 104: 140151. doi: 10.1016/j.cag.2022.04.005.
    • , , , und . . „Coherent Topological Landscapes for Simulation Ensembles.“ In Computer Vision, Imaging and Computer Graphics Theory and Applications, herausgegeben von Bouatouch K. et al.. Düsseldorf: Springer VDI Verlag.
    • , , , , , , , , , , und . . „Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding.ACS Infectious Diseases, Nr. 8 (2): 360372. doi: 10.1021/acsinfecdis.1c00485.
    • . . „Evaluating Data-type Heterogeneity in Interactive Visual Analyses with Parallel Axes.Computer Graphics Forum, Nr. 41 (1): 335349. doi: 10.1111/cgf.14438.
    • , , , , , , , , , , , , und . . „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, Nr. 12 (1): 58-. doi: 10.3390/diagnostics12010058.
    • , , , , , , , , und . „Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data.IEEE Computer Graphics and Applications, Nr. 42 (4): 8088. doi: 10.1109/MCG.2021.3098096.
    • , , , , , und . . „Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates.“ präsentiert auf der EuroVis 2022, Rom
    • , , und . . „ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures.“ In 2022 IEEE Visualization and Visual Analytics (VIS), herausgegeben von -. New York City: Wiley-IEEE Press. doi: 10.1109/VIS54862.2022.00039.
    • , , , , , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20221187.
    • , , , , , , , , , und . „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 -. New York City: Wiley-IEEE Press.
    • , , , , , , , , und . „Time-resolved velocity mapping at high magnetic fields: A preclinical comparison between stack-of-stars and cartesian 4D-Flow.Frontiers in Physics, Nr. No. 10: 925 doi: 10.3389/fphy.2022.963807.
    • , und . . „The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.“ In The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks Basel: Springer International Publishing.
    • , , , , , , , , und . . „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
    • , , und . . „Uncertainty-aware Visualization of Regional Time Series Correlation in Spatio-temporal Ensembles.Computer Graphics Forum, Nr. 40 (3): 519530. doi: 10.1111/cgf.14326.
    • , , und . . „Axes Bundling and Brushing in Star Coordinates.“ Beitrag präsentiert auf der Vision, Modeling and Visualization, Dresden doi: 10.2312/vmv.20211365.
    • , , , , , , , und . . „Visual Analysis of Spatio-temporal Features in Multi-field Earth's Mantle Convection Simulations.“ In Proceedings of IEEE VIS 2021, herausgegeben von -. New York City: Wiley-IEEE Press.
    • , , , und . . „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. Setúbal: SciTePress.
    • , , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20201180.
    • , , , und . . „Aggregated Ensemble Views for Deep Water Asteroid Impact Simulations.IEEE Computer Graphics and Applications, Nr. 40 (1): 7281. doi: 10.1109/MCG.2019.2915215.
    • , , , , und . . „A Visual Analysis Method of Randomness for Classifying and Ranking Pseudo-random Number Generators.Information Sciences, Nr. *Equally contributing first authors doi: 10.1016/j.ins.2020.10.041.
    • , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/vmv.20201190.
    • , , und . . „A Reproducibility Study for Visual MRSI Data Analytics.“ In Computer Vision, Imaging and Computer Graphics Theory and Applications Basel: Springer International Publishing. doi: 10.1007/978-3-030-41590-7_15.
    • , , und . . „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 Setúbal: SciTePress. doi: 10.5220/0008956300540061.
    • , und . . „Smooth Map Deformation Using Integral Images.Journal of WSCG, Nr. 1-2: 1826.
    • , , und . . „Efficient Morphing of Shape-preserving Star Coordinates.“ In 2020 IEEE Pacific Visualization Symposium (PacificVis) New York City: Wiley-IEEE Press. doi: 10.1109/PacificVis48177.2020.8199.
    • , , , , und . . „Interactive visual analytics tool for multidimensional quantitative and categorical data analysis.Information Visualization, Nr. 2020: 113. doi: 10.1177/1473871620908034.
    • , , , , , , , , , , , , , und . . „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
    • , , , , , , , , und . „Interactive Visual Analysis of Oceanographic Simulation Ensemble Data.“ In Proceedings of IEEE VIS 2020 - Winner of the 2020 SciVis Contest 2020, herausgegeben von -. New York City: Wiley-IEEE Press.
    • , , , und . . „Interactive Visual Analysis of Mass Spectrometry Imaging Data Using Linear and Non-Linear Embeddings.Information, Nr. 11 (12): 575. doi: 10.3390/info11120575.
    • , , , und . . Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization, arXiv e-print:2002.09237: CoRR.
    • , , , , , und . . „Interactive Multi-Level Visualization of Combined Particle and Multi-Field Cosmology Data.“ In IEEE VIS 2019 - SciVis Contest (Honorable Mention)
    • , , und . . „Interactive History-based Vessel Movement Prediction.IEEE Intelligent Systems, Nr. 2019: 1–1. doi: 10.1109/MIS.2019.2954509.
    • , , , , , und . . „A Visual Analytics Tool for Cohorts in Motion Data.“ In Vision, Modeling and Visualization, herausgegeben von H Schulz, M Teschner und M Wimmer. Eindhoven: Eurographics Association. doi: 10.2312/vmv.20191329.
    • , , und . „Visual Analytics of Simulation Ensembles for Network Dynamics.“ In Vision, Modeling and Visualization, herausgegeben von H Schulz, M Teschner und M Wimmer. Eindhoven: Eurographics Association. doi: 10.2312/vmv.20191322.
    • , , und . . „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.
    • , und . . „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.
    • , , , , und . . „Uncertainty-aware visual analysis of radiofrequency ablation simulations.Computers and Graphics, Nr. 79: 2435. 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. . 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, Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-3-030-12209-6.
    • , und . . „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. . Communications in Computer and Information Science, EuroVis Workshop on Trustworthy Visualization (TrustVis), N/A: Selbstverlag / Eigenverlag.
    • , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/trvis.20191184.
    • , , , , und . . „Uncertainty-aware asynchronous scattered motion interpolation using Gaussian process regression.Computerized Medical Imaging and Graphics, Nr. 72: 112. doi: 10.1016/j.compmedimag.2018.12.001.
    • , , , , , , , , , , , , und . . „Visual analysis of regional myocardial motion anomalies in longitudinal studies.Computers and Graphics, Nr. 83: 6276. doi: 10.1016/j.cag.2019.07.004.
    • , , , , und . . „An interactive visual analysis tool for investigating teleconnections in climate simulations.Environmental Earth Sciences, Nr. 78 (10): 294. doi: 10.1007/s12665-019-8295-z.
    • , und . . „Efficient Error-bounded Curvature Optimization for Smooth Machining Paths.Journal of Virtual Reality and Broadcasting, Nr. 15(2018) (2) doi: 10.20385/1860-2037/15.2018.2.
    • , , und . . „Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis.“ In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, Setúbal: SciTePress. doi: 10.5220/0007571801180128.
    • , und . . „Hinted Star Coordinates for Mixed Data.Computer Graphics Forum, Nr. 39 (1) doi: 10.1111/cgf.13666.
    • , , , und . . „Scatterplot Summarization by Constructing Fast and Robust Principal Graphs from Skeletons.“ Beitrag präsentiert auf der PacificVis 2019, Bangkok, Thailand
    • , , , , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/mlvis.20191160.
    • , , und . „Skeleton-Based Scagnostics.IEEE Transactions on Visualization and Computer Graphics, Nr. 24 (1): 542552. doi: 10.1109/TVCG.2017.2744339.
    • , und . „Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data.Information, Nr. 9 (7) doi: 10.3390/info9070156.
    • , , und . . „SmoothIsoPoints: Making PDE-based Surface Extraction from Point-based Volume Data Fast.“ In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP Setúbal: SciTePress. doi: 10.5220/0006537200170028.
    • , und . . „Overcoming the Curse of Dimensionality When Clustering Multivariate Volume Data.“ In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP Setúbal: SciTePress. doi: 10.5220/0006541900290039.
    • , , , und . . „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
    • , , und . . „RealityAlert: Improving Users’ Physical Safety in Immersive Virtual Environments.“ In Proceedings of 6th ACM Symposium on Spatial User Interaction (SUI 2018) - Demos
    • , und . . „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.
    • , , , , und . . „Testing occlusal performance by using chewing simulation with virtually designed substrate.International Journal of Computerized Dentistry, Nr. 21 (1): 2330.
    • , und . . „Shape-preserving Star Coordinates.IEEE Transactions on Visualization and Computer Graphics, Nr. 2018: 1–1. doi: 10.1109/TVCG.2018.2865118.
    • , , , und . . „Designing Ensembles for Uncertainty-aware Vessel Segmentations from {MRI} Data.“ In Proceedings of international conference on Computer Assisted Radiology and Surgery
    • , , , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/envirvis.20181131.
    • , , , , , , , , , , , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20181239.
    • , und . . „Projected Field Similarity for Comparative Visualization of Multi-Run Multi-Field Time-Varying Spatial Data.Computer Graphics Forum, Nr. 2018 doi: 10.1111/cgf.13531.
    • , und . . „A Top-Down Interactive Visual Analysis Approach for Physical Simulation Ensembles at Different Aggregation Levels.Information, Nr. 9 (7) doi: 10.3390/info9070163.
    • , und . . „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.
    • , und . . „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.
    • , und . . „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.
    • , und . . „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.
    • , und . . „Interactive visual analysis and classification of hyperspectral imaging data.J. Comput. Science, Nr. 26: 1321. doi: 10.1016/j.jocs.2018.03.003.
    • , , und . „Reality alert: Improving users' physical safety in immersive virtual environments.“ In -, herausgegeben von -. New York, NY: ACM Press. doi: 10.1145/3267782.3274769.
    • , , und . „Generating real-time objects for a bridge ship-handling simulator based on automatic identification system data.Simulation Modelling Practice and Theory, Nr. 72 (null): 13391351. doi: 10.1016/j.simpat.2016.12.011.
    • , , , , , und . „Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification.BMC Medical Imaging, Nr. 17 (1) doi: 10.1186/s12880-017-0179-7.
    • , , und . . „Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics.“ Beitrag präsentiert auf der EuroVis 2017 Poster Proceedings, Barcelona, Spain
    • , und . . „Visual Stratification for Epidemiological Analysis.“ Beitrag präsentiert auf der EuroVis 2017 Poster Proceedings, Barcelona, Spain
    • , , und . . „Uncertainty Visualization of Stenotic Regions in Vascular Structures.“ Beitrag präsentiert auf der EuroVis 2017 Poster Proceedings, Barcelona, Spain
    • , und . . „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.
    • , , , , , , , , , und . . „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. . Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Setúbal: SciTePress.
    • , , , , , und . . „Uncertainty visualization for interactive assessment of stenotic regions in vascular structures.Computers & Graphics, Nr. 69: 116130.
    • Braz, J, Magnenat{-}Thalmann, N, Richard, P, Linsen, L, Telea, A, Battiato, S, und Imai, FHHrsg. . 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, Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-3-319-64870-5.
    • , , und . „Combining rules using local statistics and uncertainty estimates for improved ensemble segmentation.Pattern Recognition and Image Analysis, Nr. 27 (3): 444457. doi: 10.1134/S105466181703004X.
    • , , , , , , , und . „Contour tracking and probabilistic segmentation of tissue phase mapping MRI.“ In Bd.9784 aus Medical Imaging Bellingham, WA: SPIE. doi: 10.1117/12.2216921.
    • , , , , und . „Choosing visualization techniques for multidimensional data projection tasks: A guideline with examples.“ In Bd.598 aus Communications in Computer and Information Science Heidelberg: Springer. doi: 10.1007/978-3-319-29971-6_9.
    • , , , , und . „3D superquadric glyphs for visualizing myocardial motion.“ In Bd.null aus IEEE Scientific Visualization Conference New York City: Wiley-IEEE Press. doi: 10.1109/SciVis.2015.7429504.
    • , , und . „Visual Analysis of Governing Topological Structures in Excitable Network Dynamics.Computer Graphics Forum, Nr. 35 (3): 301310. doi: 10.1111/cgf.12906.
    • , , und . „Fast uncertainty-guided fuzzy C-means segmentation of medical images.“ In Bd.null aus Mathematics and Visualization Heidelberg: Springer. doi: 10.1007/978-3-319-24523-2_2.
    • , und . „Fast and robust isosurface similarity maps extraction using quasi-Monte Carlo approach.“ In Bd.null aus European Conference on Data Analysis Dordrecht: Kluwer Academic. doi: 10.1007/978-3-319-25226-1_42.
    • , und . „Efficient reordering of parallel coordinates and its application to multidimensional biological data visualization.“ In Bd.null aus Mathematics and Visualization Heidelberg: Springer. doi: 10.1007/978-3-319-24523-2_14.
    • , , , , , , , , , und . „Analyzing myocardial torsion based on tissue phase mapping cardiovascular magnetic resonance.Journal of Cardiovascular Magnetic Resonance, Nr. 18 (1) doi: 10.1186/s12968-016-0234-5.
    • , , , , und . . „Uncertainty and Reproducibility in Medical Visualization.“ In Proceedings of the EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization, EuroRv^3 '16 Eindhoven: Eurographics Association. doi: 10.2312/eurorv3.20161107.
    • , , , , , und . . „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. Basel: Springer International Publishing. doi: 10.1007/978-3-319-45117-6_10.
    • , , , , und . . „Capturing and Visualizing Uncertainty in Liver Ablation.“ Beitrag präsentiert auf der IEEE VIS Poster Proceedings, Baltimore, 2016
    • , und . . „Visual Analysis of Mixed Numerical and Categorical Data in Cohort Studies.“ Beitrag präsentiert auf der IEEE VIS Poster Proceedings, Baltimore, USA
    • , und . . „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
    • , , , , , , , und . . „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. Eindhoven: Eurographics Association. doi: 10.2312/vcbm.20161275.
    • , , und . „Visual Analysis of Multi-Run Spatio-Temporal Simulations Using Isocontour Similarity for Projected Views.IEEE Transactions on Visualization and Computer Graphics, Nr. 22 (8): 20372050. doi: 10.1109/TVCG.2015.2498554.
    • , , und . „Preface.“ In Visualization in Medicine and Life Sciences III, Bd.null aus Mathematics and Visualization, herausgegeben von L. Linsen, B. Hamann und H. Hege. Düsseldorf: Springer VDI Verlag.
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