Mathematik und Informatik

Prof. Dr. Lars Linsen, Institut für Informatik

Current PublicationsEvers M, Linsen L Multi-dimensional parameter-space partitioning of spatio-temporal simulation ensembles. Computers and Graphics Vol. 104, 2022 online
Evers M, Herick M, Molchanov V, Linsen L Coherent Topological Landscapes for Simulation Ensembles. Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022, pp 223-237 online
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 Vol. 8 (2), 2022, pp null online
Matute J., Linsen L. Evaluating Data-type Heterogeneity in Interactive Visual Analyses with Parallel Axes. Computer Graphics Forum Vol. 41 (1), 2022, pp 335-349 online
Nahardani, Ali; Leistikow, Simon; Grün, Katja; Krämer, Martin; Herrmann, Karl-Heinz; Schrepper, Andrea; Jung, Christian; Moradi, Sara; Schulze, Paul Christian; Linsen, Lars 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 Vol. 12 (1), 2022 online
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 Vol. 42 (4), 2022, pp 80-88 online
Derstroff A, Leistikow S, Nahardani A, Ebrahimi M, Hoerr V, Linsen L Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates. , 2022 online
Evers, Marina; Wittkowski, Raphael; Linsen, Lars ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures. 2022 IEEE Visualization and Visual Analytics (VIS), 2022 online
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. Eurographics Workshop on Visual Computing for Biology and Medicine, 2022 online
Current ProjectsCRC 1450 Z01 - Interactive and computational analysis of large multiscale imaging data The multiscale imaging strategy central to this initiative imposes novel data analysis challenges. The high complexity of the acquired data results from their nature of being volumetric, time-varying, large, multiscale, and forming cohorts. Meeting these challenges requires basic research in the fields of image analysis, machine learning, and visualization. Machine learning will be used to uncover inherent relationships between patterns at multiple scales. An interactive visual approach supports the user-centric analysis of detected features. The deliverable of this project will be generally applicable, effective, and efficient methods supporting the overall goal of multiscale data analysis. online
E-Maillinsen at uni-muenster dot de
Phone+49 251 83-32714
FAX+49 251 83-33755
Secretary   Sekretariat Sichma
Frau Katharina Sichma
Telefon +49 251 83-32700
Fax +49 251 83-33755
Zimmer 604b
AddressProf. Dr. Lars Linsen
Institut für Informatik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
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