Visual Computing Group
Led by Timo Ropinski, the Visual Computing Group specializes in extracting insights from spatial data. Our research is dedicated to developing and evaluating innovative methods for visual data analysis, aiming to transform big and complex data into comprehensible information. We produce cutting-edge algorithms, state-of-the-art deep learning models, and interactive software.
Our primary applications are in the fields of biomedicine and the natural sciences, where we contribute to advancing scientific understanding and innovation. We partner both, with research institutions as well as industry leaders, such as the Bosch Center for Artificial Intelligence, the Liebherr Digital Development Center, and the XAIRAD initiative.
News
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February 7, 2024
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January 18, 2024
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October 15, 2023
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September 12, 2023
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September 4, 2023
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April 28, 2023
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April 26, 2023
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April 3, 2023
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March 22, 2023
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February 15, 2023
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February 9, 2023
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October 11, 2022
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October 10, 2022
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June 21, 2022
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June 2, 2022
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May 16, 2022
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May 16, 2022
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January 20, 2022
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January 9, 2022
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December 5, 2021
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December 4, 2021Project Aucity3 targeting AR techniques funded by BMBF
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March 23, 2021Succesful PhD Defense by Julian Kreiser
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February 24, 2021
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February 23, 2021Succesful PhD Defense by Sebastian Maisch
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February 9, 2021
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February 9, 2021
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January 15, 2021Project RACOON targeting COVID Imaging funded by BMBF
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January 28, 2020
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January 21, 2020Paper on Neural Weight Space Analysis accepted at ECAI 2020
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January 19, 2020Invited talk on Literature Analysis by Pere-Pau Vázquez
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December 29, 2019
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November 5, 2019Invited talk on Advances and Challenges of Deep Learning in Health Care by Timo Ropinski at Ulm University
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September 11, 2019Invited talk on recent work in the area of visual computing by Timo Ropinski at King Abdullah University of Science and Technology
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September 11, 2019Project TRANSNAV on Navigation System for Transvascular Interventions funded by BMBF
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August 25, 2019Invited talk on Recent Advances in Deep Learning Systems by Pedro Hermosilla and Timo Ropinski at symposium to support young accademics
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August 25, 2019Panel contribution at annual Eurographics' Workshop on Visual Computing for Biology and Medicine (EG VCBM) in Brno
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August 23, 2019Project on Attention-based Segmentation and Reconstruction of Macromolecular Structures (ABEM) funded by Wurttemberg Stiftung
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July 22, 2019Invited talk on Perception Based Biomedical Visualization by Timo Ropinski at Working Group Visualization in Biology and Medicine Meeting at TU Berlin
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July 17, 2019Summer school: Deep Learning for Graphics and Visualization
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July 3, 2019New software release of Inviwo visualization system
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June 16, 2019Tutorial on Machine Learning by Pedro Hermosilla and Timo Ropinski at EG VCBM
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January 5, 2019Projekt on 3D Camera Electro Absorptions Modulato (DREAM) funded by Baden-Wuerttemberg Stiftung
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November 7, 2018Project on mixed reality visualizations in the context of higher education teaching (Aucity2) funded by BMBF
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August 10, 2018Invited talk on Experiences in immersive spaces for real-time visualization by Erik Sundén, Linköping University
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February 26, 2018NVIDIA grant supporting our Deep Learning Research with a NVIDIA Quadro P6000 GPU
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February 23, 2018Project on the visual analysis of protein-ligand interactions funded by DFG
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February 22, 2018Invited Talk on Visual Text Analytics by Steffen Koch
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January 17, 2018Project on the Inviwo visualization framework is funded by the DFG
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November 6, 2017Invited talk on Computing the Best Image Possible by Tobias Ritsche
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July 25, 2017Invited talk on Rendering Volumetric Models in Commodity Hardware by Pere-Pau Vázquez
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July 15, 2016Invited talk on Visual Analytics in Population Data by Bernhard Preim (Uni Magdeburg)
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June 7, 2016Student project Midosa winning the Audi App Challenge 2016
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September 18, 2015Symposium on Molecular Visualization presents solutions to molecular visualization by international experts of the field
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May 21, 2015Invited talk on modeling volume rendering architectures in the face of large data sets by Jose Díaz (CRS4, Cagliari)
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February 7, 2024
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January 18, 2024
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October 15, 2023