@conference {665,
	title = {Fiber Stipples for Crossing Tracts in Probabilistic Tractography.},
	booktitle = {VCBM},
	year = {2015},
	author = {Andr{\'e} Reichenbach and Mathias Goldau and Mario Hlawitschka}
}
@proceedings {664,
	title = {Visualizing Crossing Probabilistic Tracts},
	year = {2015},
	author = {Mathias Goldau and Andr{\'e} Reichenbach and Mario Hlawitschka}
}
@article {641,
	title = {V{\textendash}Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time},
	journal = {MICCAI},
	volume = {9349},
	year = {2015},
	chapter = {191},
	author = {Andr{\'e} Reichenbach and Mathias Goldau and Christian Heine and Mario Hlawitschka}
}
@inbook {596,
	title = {Choosing a Tractography Algorithm: On the Effects of Measurement Noise},
	booktitle = {Computational Diffusion MRI and Brain Connectivity},
	series = {Mathematics and Visualization},
	year = {2014},
	pages = {115-128},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	keywords = {Diffusion weighted MRI, Robustness, SNR, tractography},
	isbn = {978-3-319-02474-5},
	doi = {10.1007/978-3-319-02475-2_11},
	url = {http://dx.doi.org/10.1007/978-3-319-02475-2_11},
	author = {Andr{\'e} Reichenbach and Mario Hlawitschka and Tittgemeyer, Marc and Gerik Scheuermann},
	editor = {Schultz, Thomas and Nedjati-Gilani, Gemma and Venkataraman, Archana and O{\textquoteright}Donnell, Lauren and Panagiotaki, Eleftheria}
}
@conference {642,
	title = {Combined Three-Dimensional Visualization of Structural Connectivity and Cortex Parcellation},
	booktitle = {VMV},
	year = {2014},
	author = {Andr{\'e} Reichenbach and Mathias Goldau and Mario Hlawitschka}
}
@booklet {eichelbaum2010d,
	title = {OpenWalnut: A New Tool for Multi-modal Visualization of the Human Brain},
	year = {2010},
	abstract = {In the course of the ongoing research into neurological diseases and the function and anatomy of the brain, a large variety of examination techniques has evolved. The different techniques aim at findings for different research questions or different viewpoints of a single task. Considering the different applications, it is evident that, for many research areas, only a combination of multiple techniques can help answering the posed questions. To name only one example, the combination of dwMRI and fMRI with an anatomical context provided by T1 MRI images is very common. To be able to analyze the data measured by the different techniques, a tool that can efficiently visualize the different modalities simultaneously is needed. The software (called {\em OpenWalnut}) we will present in this poster aims at exactly this task. It does not only allow to display the different modalities together, but also provides tools to analyze their interdependence and relations. In the following, we will provide you with an overview of OpenWalnut{\textquoteright}s features. Its simplicity, making it a useful visualization tool, on the one hand and its powerful and generic framework for computer scientist researchers on the other hand.},
	author = {Eichelbaum, Sebastian and Mathias Goldau and Stefan Philips and Andr{\'e} Reichenbach and Ralph Schurade and Alexander Wiebel}
}
@conference { RHR*:2009,
	title = {A Novel Grid-Based Visualization Approach for Metabolic Networks with Advanced Focus\&Context View},
	booktitle = {Proceedings of the 17th International Symposium on Graph Drawing (GD {\textquoteright}09)},
	year = {2009},
	pages = {268-279},
	publisher = {Springer},
	organization = {Springer},
	author = {Rohrschneider, M. and Heine, C. and Andr{\'e} Reichenbach and Kerren, Andreas and Gerik Scheuermann}
}
