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Fast 3D Thinning of Medical Image Data based on Local Neighborhood Lookups., , , and . EuroVis (Short Papers), page 43-47. Eurographics Association, (2016)Visualizing Multimodal Deep Learning for Lesion Prediction., , , , , and . IEEE Computer Graphics and Applications, 41 (5): 90-98 (2021)Ten Open Challenges in Medical Visualization., , , , , , and . IEEE Computer Graphics and Applications, 41 (5): 7-15 (2021)Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model., , , and . Graph. Model., (2018)Understanding Graph Convolutional Networks to detect Brain Lesions from Stroke., , and . VCBM, page 123-127. Eurographics Association, (2022)Hierarchical Image Semantics Using Probabilistic Path Propagations for Biomedical Research., , , , and . IEEE Computer Graphics and Applications, 39 (6): 86-101 (2019)Image Processing under Uncertainty.. Kaiserslautern University of Technology, Germany, (2019)Visualization in the Wild., , and . IEEE Computer Graphics and Applications, 43 (6): 46-49 (November 2023)Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions., , , and . PacificVis, page 106-110. IEEE Computer Society, (2018)Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine., , , , and . EuroVis (Short Papers), page 145-149. Eurographics Association, (2017)