TY - GEN A1 - Hege, Hans-Christian T1 - Hintergrundinformationen zum Artikel ‘Neue Bilder für die Medizin?’ Y1 - 2005 PB - DFG-Research Center Matheon, Report, 19 pages ER - TY - CHAP A1 - Deussen, Oliver A1 - Colditz, Carsten A1 - Coconu, Liviu A1 - Hege, Hans-Christian ED - Bishop, Ian ED - Lange, Eckart T1 - Efficient modelling and rendering of landscapes T2 - Visualization in Landscape and Environmental Planning Y1 - 2005 SP - 56 EP - 61 PB - Spon Press CY - London ER - TY - CHAP A1 - Colditz, Carsten A1 - Coconu, Liviu A1 - Deussen, Oliver A1 - Hege, Hans-Christian ED - Buhmann, Erich ED - Paar, Philip ED - Bishop, Ian ED - Lange, Eckart T1 - Real-time rendering of complex photorealistic landscapes using hybrid level-of-detail approaches T2 - Trends in Real-Time Landscape Visualization and Participation Y1 - 2005 SP - 97 EP - 106 PB - Wichmann Verlag ER - TY - CHAP A1 - Coconu, Liviu A1 - Colditz, Carsten A1 - Hege, Hans-Christian A1 - Deussen, Oliver ED - Buhmann, Erich ED - Paar, Philip ED - Bishop, Ian ED - Lange, Eckart T1 - Seamless integration of stylized renditions in computer-generated landscape visualization T2 - Trends in Real-Time Landscape Visualization and Participation Y1 - 2005 SP - 88 EP - 96 PB - Wichmann Verlag CY - Heidelberg ER - TY - CHAP A1 - Clasen, Malte A1 - Hege, Hans-Christian ED - Buhmann, Erich ED - Paar, Philip ED - Bishop, Ian ED - Lange, Eckart T1 - Realistic illumination of vegetation in real-time environments T2 - Trends in Real-Time Landscape Visualization and Participation Y1 - 2005 SP - 107 EP - 114 PB - Wichmann Verlag ER - TY - JOUR A1 - Werner, Armin A1 - Deussen, Oliver A1 - Döllner, Jürgen A1 - Hege, Hans-Christian A1 - Paar, Philip A1 - Rekittke, Jörg ED - Buhmann, Erich ED - Paar, Philip ED - Bishop, Ian ED - Lange, Eckart T1 - Lenné 3D walking through landscape plan JF - Trends in Real-Time Landscape Visualization and Participation Y1 - 2005 SP - 48 EP - 59 PB - Wichmann Verlag ER - TY - CHAP A1 - Krämer, Martin A1 - Herrmann, Karl-Heinz A1 - Boeth, Heide A1 - Tycowicz, Christoph von A1 - König, Christian A1 - Zachow, Stefan A1 - Ehrig, Rainald A1 - Hege, Hans-Christian A1 - Duda, Georg A1 - Reichenbach, Jürgen T1 - Measuring 3D knee dynamics using center out radial ultra-short echo time trajectories with a low cost experimental setup T2 - ISMRM (International Society for Magnetic Resonance in Medicine), 23rd Annual Meeting 2015, Toronto, Canada Y1 - 2015 ER - TY - JOUR A1 - Egger, Robert A1 - Dercksen, Vincent J. A1 - Udvary, Daniel A1 - Hege, Hans-Christian A1 - Oberlaender, Marcel T1 - Generation of dense statistical connectomes from sparse morphological data JF - Frontiers in Neuroanatomy Y1 - 2014 U6 - https://doi.org/10.3389/fnana.2014.00129 VL - 8 IS - 129 ER - TY - CHAP A1 - Pfister, Hanspeter A1 - Kaynig, Verena A1 - Botha, Charl P. A1 - Bruckner, Stefan A1 - Dercksen, Vincent J. A1 - Hege, Hans-Christian A1 - Roerdink, Jos B.T.M. ED - Hansen, Charles D. ED - Chen, Min ED - Johnson, Christopher R. ED - Kaufman, Arie E. ED - Hagen, Hans T1 - Visualization in Connectomics T2 - Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization N2 - Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a complete map of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivity information from image data at macro-, meso- and microscales. We also discuss data integration and neural network modeling, as well as the visualization, analysis and comparison of brain networks. Y1 - 2014 SN - 978-1-4471-6496-8 U6 - https://doi.org/10.1007/978-1-4471-6497-5_21 SP - 221 EP - 245 PB - Springer ER - TY - CHAP A1 - Bonneau, Georges-Pierre A1 - Hege, Hans-Christian A1 - Johnson, Chris R. A1 - Oliveira, Manuel M. A1 - Potter, Kristin A1 - Rheingans, Penny A1 - Schultz, Thomas T1 - Overview and State-of-the-Art of Uncertainty Visualization T2 - Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization N2 - The goal of visualization is to effectively and accurately communicate data. Visualization research has often overlooked the errors and uncertainty which accompany the scientific process and describe key characteristics used to fully understand the data. The lack of these representations can be attributed, in part, to the inherent difficulty in defining, characterizing, and controlling this uncertainty, and in part, to the difficulty in including additional visual metaphors in a well designed, potent display. However, the exclusion of this information cripples the use of visualization as a decision making tool due to the fact that the display is no longer a true representation of the data. This systematic omission of uncertainty commands fundamental research within the visualization community to address, integrate, and expect uncertainty information. In this chapter, we outline sources and models of uncertainty, give an overview of the state-of-the-art, provide general guidelines, outline small exemplary applications, and finally, discuss open problems in uncertainty visualization. Y1 - 2014 SN - 978-1-4471-6496-8 U6 - https://doi.org/10.1007/978-1-4471-6497-5_1 SP - 3 EP - 27 PB - Springer ER -