@misc{Hege2005, author = {Hege, Hans-Christian}, title = {Hintergrundinformationen zum Artikel 'Neue Bilder f{\"u}r die Medizin?'}, publisher = {DFG-Research Center Matheon, Report, 19 pages}, year = {2005}, language = {en} } @incollection{DeussenColditzCoconuetal.2005, author = {Deussen, Oliver and Colditz, Carsten and Coconu, Liviu and Hege, Hans-Christian}, title = {Efficient modelling and rendering of landscapes}, booktitle = {Visualization in Landscape and Environmental Planning}, editor = {Bishop, Ian and Lange, Eckart}, publisher = {Spon Press}, address = {London}, pages = {56 -- 61}, year = {2005}, language = {en} } @incollection{ColditzCoconuDeussenetal.2005, author = {Colditz, Carsten and Coconu, Liviu and Deussen, Oliver and Hege, Hans-Christian}, title = {Real-time rendering of complex photorealistic landscapes using hybrid level-of-detail approaches}, booktitle = {Trends in Real-Time Landscape Visualization and Participation}, editor = {Buhmann, Erich and Paar, Philip and Bishop, Ian and Lange, Eckart}, publisher = {Wichmann Verlag}, pages = {97 -- 106}, year = {2005}, language = {en} } @incollection{CoconuColditzHegeetal.2005, author = {Coconu, Liviu and Colditz, Carsten and Hege, Hans-Christian and Deussen, Oliver}, title = {Seamless integration of stylized renditions in computer-generated landscape visualization}, booktitle = {Trends in Real-Time Landscape Visualization and Participation}, editor = {Buhmann, Erich and Paar, Philip and Bishop, Ian and Lange, Eckart}, publisher = {Wichmann Verlag}, address = {Heidelberg}, pages = {88 -- 96}, year = {2005}, language = {en} } @incollection{ClasenHege2005, author = {Clasen, Malte and Hege, Hans-Christian}, title = {Realistic illumination of vegetation in real-time environments}, booktitle = {Trends in Real-Time Landscape Visualization and Participation}, editor = {Buhmann, Erich and Paar, Philip and Bishop, Ian and Lange, Eckart}, publisher = {Wichmann Verlag}, pages = {107 -- 114}, year = {2005}, language = {en} } @article{WernerDeussenDoellneretal.2005, author = {Werner, Armin and Deussen, Oliver and D{\"o}llner, J{\"u}rgen and Hege, Hans-Christian and Paar, Philip and Rekittke, J{\"o}rg}, title = {Lenn{\´e} 3D walking through landscape plan}, journal = {Trends in Real-Time Landscape Visualization and Participation}, editor = {Buhmann, Erich and Paar, Philip and Bishop, Ian and Lange, Eckart}, publisher = {Wichmann Verlag}, pages = {48 -- 59}, year = {2005}, language = {en} } @inproceedings{KraemerHerrmannBoethetal.2015, author = {Kr{\"a}mer, Martin and Herrmann, Karl-Heinz and Boeth, Heide and Tycowicz, Christoph von and K{\"o}nig, Christian and Zachow, Stefan and Ehrig, Rainald and Hege, Hans-Christian and Duda, Georg and Reichenbach, J{\"u}rgen}, title = {Measuring 3D knee dynamics using center out radial ultra-short echo time trajectories with a low cost experimental setup}, booktitle = {ISMRM (International Society for Magnetic Resonance in Medicine), 23rd Annual Meeting 2015, Toronto, Canada}, year = {2015}, language = {en} } @article{EggerDercksenUdvaryetal.2014, author = {Egger, Robert and Dercksen, Vincent J. and Udvary, Daniel and Hege, Hans-Christian and Oberlaender, Marcel}, title = {Generation of dense statistical connectomes from sparse morphological data}, volume = {8}, journal = {Frontiers in Neuroanatomy}, number = {129}, doi = {10.3389/fnana.2014.00129}, year = {2014}, language = {en} } @incollection{PfisterKaynigBothaetal.2014, author = {Pfister, Hanspeter and Kaynig, Verena and Botha, Charl P. and Bruckner, Stefan and Dercksen, Vincent J. and Hege, Hans-Christian and Roerdink, Jos B.T.M.}, title = {Visualization in Connectomics}, booktitle = {Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization}, editor = {Hansen, Charles D. and Chen, Min and Johnson, Christopher R. and Kaufman, Arie E. and Hagen, Hans}, publisher = {Springer}, isbn = {978-1-4471-6496-8}, arxiv = {http://arxiv.org/abs/1206.1428}, doi = {10.1007/978-1-4471-6497-5_21}, pages = {221 -- 245}, year = {2014}, abstract = {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.}, language = {en} } @incollection{BonneauHegeJohnsonetal.2014, author = {Bonneau, Georges-Pierre and Hege, Hans-Christian and Johnson, Chris R. and Oliveira, Manuel M. and Potter, Kristin and Rheingans, Penny and Schultz, Thomas}, title = {Overview and State-of-the-Art of Uncertainty Visualization}, booktitle = {Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization}, publisher = {Springer}, isbn = {978-1-4471-6496-8}, doi = {10.1007/978-1-4471-6497-5_1}, pages = {3 -- 27}, year = {2014}, abstract = {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.}, language = {en} }