@inbook {703,
	title = {Comparing Finite-Time Lyapunov Exponents in Approximated Vector Fields},
	booktitle = {Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications},
	year = {2017},
	pages = {267-281},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	issn = {978-3-319-44684-4},
	doi = {10.1007/978-3-319-44684-4_16},
	author = {Stefan Koch and Sebastian Volke and Gerik Scheuermann and Hans Hagen and Mario Hlawitschka}
}
@conference {676,
	title = {Decomposition of Vector Fields Beyond Problems of First Order and Their Applications},
	booktitle = {Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	author = {Wieland Reich and Mario Hlawitschka and Gerik Scheuermann}
}
@conference {692,
	title = {Identifying Linear Vector Fields on 2D Manifolds},
	booktitle = {WSCG},
	year = {2016},
	abstract = {Local linearity of vector fields is a property that is well researched and understood. Linear approximation can be
used to simplify algorithms or for data reduction. Whereas the concept is easy to implement in 2D and 3D, it
loses meaning on manifolds as linearity has either to be defined based on an embedding in a higher-dimensional
Cartesian space or on a map. We present an adaptive atlas-based vector field decomposition to solve the problem
on manifolds and present its application on synthetic and climate data.},
	author = {Sebastian Volke and Stefan Koch and Mario Hlawitschka}
}
@inbook {640,
	title = {Multi-Modal Visualization of Probabilistic Tractography},
	booktitle = {Visualization in Medicine and Life Sciences},
	volume = {III},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	author = {Mathias Goldau and Mario Hlawitschka}
}
@conference {704,
	title = {Augmented representations of clustered fiber bundles for interactive queries},
	booktitle = {iV2015 - 19th International Conference on Information Visualisation},
	year = {2015},
	month = {07/2015},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Barcelona, Spain},
	abstract = {Hierarchical fiber clustering is a promising way to analyze brain connectivity.
A disadvantage of hierarchical fiber clustering is its difficult visualization.
The simple presentation as a 2D tree is visually too complex because of the amount of several thousand leaves.
We present a framework that allows the modification of the dendrogram visualization in a flexible way.
The modified dendrogram visualization can convey additional information that grants an easier orientation within the hierarchical clustering.
Besides the interaction with the dendrogram itself, it is also possible to make use of a 3D view and a clustering preview.
To illustrate potential use cases, we present two usage examples that show the versatility of our framework.
},
	author = {Stefan Philips and Mario Hlawitschka and Gerik Scheuermann}
}
@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}
}
@article {607,
	title = {Customized TRS Invariants for 2D Vector Fields via Moment Normalization},
	journal = {Pattern Recognition Letters},
	volume = {46},
	year = {2014},
	pages = {59},
	chapter = {46},
	doi = {http://dx.doi.org/10.1016/j.patrec.2014.05.005},
	url = {http://www.informatik.uni-leipzig.de/~bujack/pat_rec_let.pdf},
	author = {Roxana Bujack and Mario Hlawitschka and Gerik Scheuermann and Eckhard Hitzer}
}
@article {eichelbaum2014a,
	title = {Visualizing Simulated Electrical Fields from Electroencephalography and Transcranial Electric Brain Stimulation: A Comparative Evaluation},
	journal = {NeuroImage},
	year = {2014},
	note = {In Press},
	abstract = {Electrical activity of neuronal populations is a crucial aspect of brain activity. This activity is not measured directly but recorded as electrical potential changes using head surface electrodes (electroencephalogram - EEG). Head surface electrodes can also be deployed to inject electrical currents in order to modulate brain activity (transcranial electric stimulation techniques) for therapeutic and neuroscientific purposes. In electroencephalography and noninvasive electric brain stimulation, electrical fields mediate between electrical signal sources and regions of interest (ROI). These fields can be very complicated in structure, and are influenced in a complex way by the conductivity profile of the human head. Visualization techniques play a central role to grasp the nature of those fields because such techniques allow for an effective conveyance of complex data and enable quick qualitative and quantitative assessments. The examination of volume conduction effects of particular head model parameterizations (e.g., skull thickness and layering), of brain anomalies (e.g., holes in the skull, tumors), location and extent of active brain areas (e.g., high concentrations of current densities) and around current injecting electrodes can be investigated using visualization. Here, we evaluate a number of widely used visualization techniques, based on either the potential distribution or on the current-flow. In particular, we focus on the extractability of quantitative and qualitative information from the obtained images, their effective integration of anatomical context information, and their interaction. We present illustrative examples from clinically and neuroscientifically relevant cases and discuss the pros and cons of the various visualization techniques.},
	doi = {10.1016/j.neuroimage.2014.04.085},
	url = {http://www.sciencedirect.com/science/article/pii/S1053811914003656},
	author = {Eichelbaum, Sebastian and Moritz Dannhauer and Mario Hlawitschka and Dana Brooks and Thomas R. Kn{\"o}sche and Gerik Scheuermann}
}
@conference {528,
	title = {Determining and Visualizing Potential Sources of Floods},
	booktitle = {EuroVis Workshop on Visualisation in Environmental Sciences},
	year = {2013},
	address = {Leipzig},
	abstract = {In this paper, we visually analyze spatio-temporal patterns of different hydrologic parameters relevant for flooding.
On the basis of data from climate simulations with a high resolution regional atmosphere model, several extreme
events are selected for different river catchments in Germany. By visually comparing the spatial distribution of the
main contributions to the run-off along with their temporal evolution for a time period in the 20th and the 21th
century, impacts of climate change on the hydrological cycle can be identified.
},
	author = {Steven Schlegel and B{\"o}ttinger, M. and Mario Hlawitschka and Gerik Scheuermann}
}
@article {527,
	title = {dPSO-Vis: Topology-based Visualization of Discrete Particle Swarm Optimization},
	journal = {Computer Graphics Forum},
	volume = {32},
	year = {2013},
	pages = {351-360},
	abstract = {Particle swarm optimization (PSO) is a metaheuristic that has been applied successfully to many continuous and combinatorial optimization problems, e.g., in the fields of economics, engineering, and natural sciences. In PSO a swarm of particles moves within a search space in order to find an optimal solution. Unfortunately, it is hard to understand in detail why and how changes in the design of PSO algorithms affect the optimization behavior. Visualizing the particle states could provide substantially better insight into PSO algorithms, but in case of combinatorial optimization problems, it raises the problem of illustrating the discrete states that cannot easily be embedded spatially. We propose a visualization approach to analyze the optimization problem topologically using a landscape metaphor. Therefore, we transform the configuration space of the optimization problem into a barrier landscape that is topologically equivalent. This visualization is augmented by an illustration of the time-dependent states of the particles. The user of our tool {\textemdash} called dPSO-Vis {\textemdash} is able to analyze the swarm{\textquoteright}s behavior within the search space. We illustrate our approach with a brief analysis of a PSO algorithm that predicts the secondary structure of RNA molecules.},
	author = {Sebastian Volke and Martin Middendorf and Mario Hlawitschka and Jens Kasten and Dirk Zeckzer and Gerik Scheuermann}
}
@proceedings {531,
	title = {Hierarchical Poisson-Disk Sampling for Fiber Stipples},
	year = {2013},
	month = {09/2013},
	pages = {19-23},
	publisher = {Eurographics},
	address = {Leipzig},
	doi = {10.2312/PE.VMLS.VMLS2013.019-023},
	author = {Mario Hlawitschka and Mathias Goldau and Alexander Wiebel and Heine, C. and Gerik Scheuermann}
}
@article {eichelbaum2012a,
	title = {LineAO {\textendash}- Improved Three-Dimensional Line Rendering},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {19},
	number = {3},
	year = {2013},
	month = {March},
	pages = {433-445},
	publisher = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	abstract = {Rendering large numbers of dense line bundles in three dimensions is a common need for many visualization techniques, including streamlines and fiber tractography. Unfortunately, depiction of spatial relations inside these line bundles is often difficult but critical for understanding the represented structures. Many approaches evolved for solving this problem by providing special illumination models or tube-like renderings. Although these methods improve spatial perception of individual lines or related sets of lines, they do not solve the problem for complex spatial relations between dense bundles of lines. In this paper, we present a novel approach that improves spatial and structural perception of line renderings by providing a novel ambient occlusion approach suited for line rendering in real time.},
	issn = {1077-2626},
	doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.142},
	url = {http://www.informatik.uni-leipzig.de/~ebaum/Publications/eichelbaum2012a/},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Gerik Scheuermann}
}
@conference {eichelbaum2013b,
	title = {OpenWalnut: An Open-Source Tool for Visualization of Medical and Bio-Signal Data},
	booktitle = {Biomedical Engineering / Biomedizinische Technik},
	year = {2013},
	abstract = {The number of medical imaging modalities and bio-signal acquisition methods has increased dramatically in the last years. Each is designed to answer a certain set of questions or to explore certain features of living tissue. With visualization, it is possible to combine these different types of images and data to grasp their meaning in the context of each other. Unfortunately, many existing visualization tools are focused on certain modalities and signals. With OpenWalnut, we provide a tool which is designed to be used with different signals and modalities in combination with each other. It aims at providing interactive rendering and explorability with a clean data-flow-based interface. The project is open-source and well documented and has yet been extended and used by many groups and researchers. In this short-paper, we provide a coarse overview of the principles and focus-points of OpenWalnut.},
	doi = {10.1515/bmt-2013-4183},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Gerik Scheuermann},
	editor = {Olaf D{\"o}ssel}
}
@conference {Philips2013,
	title = {Parallelized Global Brain Tractography},
	booktitle = {Proceedings of the 18th International Fall Workshop on Vision, Modeling, and Visualization (VMV13)},
	year = {2013},
	pages = {97{\textendash}104},
	author = {Stefan Philips and Mario Hlawitschka and Gerik Scheuermann}
}
@conference {eichelbaum2013a,
	title = {PointAO - Improved Ambient Occlusion for Point-based Visualization},
	booktitle = {Proceedings of the 2013 EG Conference on Visualization},
	year = {2013},
	abstract = {The visualization of large amounts of particles, glyphs, and other point-based data plays an important role in many fields of science, among them flow mechanics, molecular dynamics, and medical imaging. The proper perception of spatial structures and spatial relatio ns in the data is crucial to the understanding. To accommodate this aspect, we utilize and improve an existing ambient occlusion approach, originally tailored towards line rendering and extend the approach to be applicable to point-based visualizations.},
	author = {Eichelbaum, Sebastian and Gerik Scheuermann and Mario Hlawitschka}
}
@conference {536,
	title = {Visualizing Linear Neighborhoods in Non-Linear Vector Fields},
	booktitle = {PacificVis},
	year = {2013},
	doi = {target},
	author = {Stefan Koch and Alexander Wiebel and Jens Kasten and Mario Hlawitschka}
}
@inbook {eichelbaum2010a,
	title = {Fabric-Like Visualization of Tensor Field Data on Arbitrary Surfaces in Image Space},
	booktitle = {New Developments in the Visualization and Processing of Tensor Fields},
	series = {Mathematics and Visualization},
	year = {2012},
	pages = {71-92},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {Tensors are of great interest to many applications in engineering and in medical imaging, but a proper analysis and visualization remains challenging. It already has been shown that, by employing the metaphor of a fabric structure, tensor data can be visualized precisely on surfaces where the two eigendirections in the plane are illustrated as thread-like structures. This leads to a continuous visualization of most salient features of the tensor data set. We introduce a novel approach to compute such a visualization from tensor field data that is motivated by image-space line integral convolution (LIC). Although our approach can be applied to arbitrary, non-selfintersecting surfaces, the main focus lies on special surfaces following important features, such as surfaces aligned to the neural pathways in the human brain. By adding a postprocessing step, we are able to enhance the visual quality of the of the results, which improves perception of the major patterns.},
	isbn = {978-3-642-27342-1},
	doi = {10.1007/978-3-642-27343-8_4},
	url = {http://dx.doi.org/10.1007/978-3-642-27343-8_4},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Bernd Hamann and Gerik Scheuermann},
	editor = {Laidlaw, David H. and Vilanova, Anna}
}
@inbook {eichelbaum2010b,
	title = {Image-space Tensor Field Visualization Using a LIC-like Method},
	booktitle = {Visualization in Medicine and Life Sciences 2},
	series = {Mathematics and Visualization},
	year = {2012},
	pages = {193{\textendash}210},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	abstract = {Tensors are of great interest to many applications in engineering and in medical imaging, but a proper analysis and visualization remains challenging. Physics-based visualization of tensor fields has proven to show the main features of symmetric second-order tensor fields, while still displaying the most important information of the data, namely the main directions in medical diffusion tensor data using texture and additional attributes using color-coding, in a continuous representation. Nevertheless, its application and usability remains limited due to its computational expensive and sensitive nature. We introduce a novel approach to compute a fabric-like texture pattern from tensor fields motivated by image-space line integral convolution (LIC). Although, our approach can be applied to arbitrary, non-selfintersecting surfaces, we are focusing on special surfaces following neural fibers in the brain. We employ a multi-pass rendering approach whose main focus lies on regaining three-dimensionality of the data under user interaction as well as being able to have a seamless transition between local and global structures including a proper visualization of degenerated points.},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Bernd Hamann and Gerik Scheuermann},
	editor = {Lars Linsen and Bernd Hamann and Hans Hagen and Hege, H.-C.}
}
@booklet {eichelbaum2012c,
	title = {Leading edge vortices of flow over a delta wing.},
	year = {2012},
	month = {November},
	author = {Eichelbaum, Sebastian and Jens Kasten and Mario Hlawitschka and Gerik Scheuermann and Bernd R. Noack}
}
@conference {631,
	title = {Topology-based Visualization and Analysis of High-dimensional Data and Time-varying Data at the Extreme Scale},
	booktitle = {DOE Exascale Research Conference},
	year = {2012},
	month = {April},
	address = {Portland, OR},
	author = {Gunther H. Weber and Dmitriy Morozov and Kenes Beketayev and John Bell and Peer-Timo Bremer and Marc Day and Bernd Hamann and Christian Heine and Maciej Haranczyk and Mario Hlawitschka and Valerio Pascucci and Patrick Oesterling and Gerik Scheuermann}
}
@booklet {eichelbaum2012b,
	title = {Vue en tractographie d{\textquoteright}un cerveau humain.},
	year = {2012},
	month = {December},
	abstract = {Vue en tractographie d{\textquoteright}un cerveau humain. Cette technique d{\textquoteright}imagerie r{\'e}v{\`e}le la structure des fibres nerveuses - et leurs traumatismes {\'e}ventuels.},
	url = {http://www.lemonde.fr/sciences/portfolio/2012/12/27/science_1811032_1650684.html},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Gerik Scheuermann}
}
@conference { GWG*:2011,
	title = {Fiber Stippling: An Illustrative Rendering for Probabilistic Diffusion Tractography},
	booktitle = {IEEE BioVis Proceedings},
	year = {2011},
	pages = {23-30},
	abstract = {One of the most promising avenues for compiling anatomical brain connectivity data arises from diffusion magnetic resonance  imaging (dMRI). dMRI provides a rather novel family of medical imaging techniques with broad application in clinical as well as basic neuroscience as it offers an estimate of the brain{\textquoteright}s fiber structure completely non-invasively and in vivo. A convenient way to reconstruct neuronal fiber pathways and to characterize anatomical connectivity from this data is the computation of diffusion tractograms.
In this paper, we present a novel and effective method for visualizing probabilistic tractograms within their anatomical context. Our illustrative rendering technique, called fiber stippling, is inspired by visualization standards as found in anatomical textbooks. These illustrations typically show slice-based projections of fiber pathways and are typically hand-drawn. Applying the automatized technique to diffusion tractography, we demonstrate its expressiveness and intuitive usability as well as a more objective way to present white-matter structure in the human brain.},
	author = {Mathias Goldau and Alexander Wiebel and Nico Stephan Gorbach and Corina Melzer and Mario Hlawitschka and Gerik Scheuermann and Tittgemeyer, Marc}
}
@conference { GWH*:2011,
	title = {Visualizing DTI Parameters on Boundary Surfaces of White Matter Fiber Bundles},
	booktitle = {IASTED International Conference on Computer Graphics and Imaging} publisher = {ACTA Press},
	year = {2011},
	pages = {53-61},
	publisher = {ACTA Press},
	organization = {ACTA Press},
	abstract = {Diffusion magnetic resonance imaging is so far the only medical imaging modality that has the potential for probing anatomical brain connectivity in vivo. Specifically, it provides the data basis for a set of techniques allowing for tracking of fiber bundles in the brain{\textquoteright}s white matter.  Furthermore, due to the micro-structural basis of the diffusion process, fiber integrity might be estimated. Typically, this is achieved by tensor-derived parameters, such as by fractional anisotropy (FA), which allows for a quantification of the directionality of local diffusion properties. In neuroscience, such parameterization of the diffusion tensor has greatly stimulated studies of localized brain changes, related to development, aging, or various neurological and psychiatric diseases.  However, thus far, there is no satisfactory solution for the visualization and assessment of such parameters along fiber bundles.
In this paper, we present a novel technique to visualize changes of tensor-derived parameters along clusters of the trajectories obtained from diffusion tractography. This visualization approach consists of two steps: First, an automatic local aggregation of data values around the trajectories for quantitative analysis and visualization on the fiber bundle boundary and second, a color-coded slice that is intuitively movable along the bundle for interactive exploration of the bundle{\textquoteright}s parameters.},
	isbn = {978-0-88986-865-6},
	author = {Mathias Goldau and Alexander Wiebel and Mario Hlawitschka and Gerik Scheuermann}
}
@article { HGT*:2010,
	title = {Direct Visualization of Fiber Information by Coherence},
	journal = {International Journal of Computer Assisted Radiology and Surgery},
	volume = {5},
	number = {2},
	year = {2010},
	pages = {125-131},
	author = {Mario Hlawitschka and Garth, C. and Tricoche, X. and Kindlmann, G. and Gerik Scheuermann and Joy, K. and Bernd Hamann}
}
@conference {eichelbaum2010e,
	title = {OpenWalnut - An Open-Source Visualization System},
	booktitle = {Proceedings of the 6th High-End Visualization Workshop},
	year = {2010},
	month = {December},
	pages = {67{\textendash}78},
	abstract = {In the last years a variety of open-source software packages focusing on visualization of human brain data have evolved. Many of them are designed to be used in a pure academic environment and are optimized for certain tasks or special data. The open source visualization system we introduce here is called \emph{OpenWalnut}. It is designed and developed to be used by neuroscientists during their research, which enforces the framework to be designed to be very fast and responsive on the one side, but easily extendible on the other side. \emph{OpenWalnut} is a very application-driven tool and the software is tuned to ease its use. Whereas we introduce \emph{OpenWalnut} from a user{\textquoteright}s point of view, we will focus on its architecture and strengths for visualization researchers in an academic environment.},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Alexander Wiebel and Gerik Scheuermann},
	editor = {Werner benger and Andreas Gerndt and Simon Su and Wolfram Schoor and Michael Koppitz and Wolfgang Kapferer and Hans-Peter Bischof and Massimo Di Pierro}
}
@conference { HS:2010,
	title = {Tracking Lines in Higher Order Tensor Fields},
	booktitle = {Scientific Visualization: Advanced Concepts},
	series = {Dagstuhl Follow-Ups},
	year = {2010},
	pages = {124-135},
	publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
	organization = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
	author = {Mario Hlawitschka and Gerik Scheuermann},
	editor = {Hans Hagen}
}
@conference {eichelbaum2010c,
	title = {Visualization of Effective Connectivity of the Brain},
	booktitle = {Proceedings of the 15th International Workshop on Vision, Modeling and Visualization (VMV) Workshop 2010},
	year = {2010},
	pages = {155-162},
	abstract = {Diffusion tensor images and higher-order diffusion images are the foundation for neuroscience researchers who are trying to gain insight into the connectome, the wiring scheme of the brain. Although modern imaging devices allow even more detailed anatomical measurements, these pure anatomical connections are not sufficient for understanding how the brain processes external stimuli. Anatomical connections constraint the causal influences between several areas of the brain, as they mediate causal influence between them. Therefore, neuroscientists developed models to represent the causal coherence between several pre-defined areas of the brain, which has been measured using fMRI, MEG, or EEG. The dynamic causal modeling (DCM) technique is one of these models and has been improved to use anatomical connection as informed priors to build the effective connectivity model. In this paper, we present a visualization method allowing neuroscientists to perceive both, the effective connectivity and the underlying anatomical connectivity in an intuitive way at the same time. The metaphor of moving information packages is used to show the relative intensity of information transfer inside the brain using a GPU based animation technique. We provide an interactive way to selectively view one or multiple effective connections while conceiving their anatomical connectivity. Additional anatomical context is supplied to give further orientation cues.},
	author = {Eichelbaum, Sebastian and Alexander Wiebel and Mario Hlawitschka and Anwander, A. and Thomas R. Kn{\"o}sche and Gerik Scheuermann},
	editor = {Reinhard Koch and Andreas Kolb and Christof Rezk-Salama}
}
@conference { SHH*:2010,
	title = {Visualizing White Matter Fiber Tracts with Optimally Fitted Curved Dissection Surfaces},
	booktitle = {Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine, VCBM 2010},
	year = {2010},
	pages = {41-48},
	publisher = {Eurographics Association},
	organization = {Eurographics Association},
	author = {Ralph Schurade and Mario Hlawitschka and Bernd Hamann and Gerik Scheuermann and Thomas R. Kn{\"o}sche and Anwander, A.},
	editor = {Bartz, Dirk and Botha, C. and Hornegger, J. and Machiraju, R. and Alexander Wiebel and Preim, B.}
}
@conference { WGH*:2009,
	title = {FAnToM - Lessons Learned from Design, Implementation, Administration, and Use of a Visualization System for Over 10 Years},
	booktitle = {Refactoring Visualization from Experience (ReVisE) 2009},
	year = {2009},
	note = {co-located with IEEE Visualization 2009},
	month = {October},
	address = {Atlantic City, NJ, USA},
	author = {Alexander Wiebel and Garth, C. and Mario Hlawitschka and Wischgoll, T. and Gerik Scheuermann}
}
@inbook { HWA*:2009,
	title = {Interactive Volume Rendering of Diffusion Tensor Data},
	booktitle = {Visualization and Processing of Tensor Fields: Advances and Perspectives},
	year = {2009},
	pages = {161-176},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin, Germany},
	author = {Mario Hlawitschka and Weber, G.H. and Anwander, A. and Carmichael, O.T. and Bernd Hamann and Gerik Scheuermann},
	editor = {Laidlaw, David H. and Weickert, J.}
}
@conference { BJH*:2009,
	title = {Multimodal Visualization of DTI and fMRI Data Using Illustrative Methods},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2009},
	year = {2009},
	pages = {6-10},
	publisher = {Springer},
	organization = {Springer},
	author = {Born, Silvia and Jainek, Werner and Mario Hlawitschka and Gerik Scheuermann and Tantakis, C. and Meixensberger, J. and Bartz, Dirk}
}
@conference { BHW*:2008,
	title = {Design und Anwendung einer multimodalen Visualisierung morphologischer und funktioneller Daten},
	booktitle = {Tagungsband der 7. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer- und Roboterassistierte Chirurgie e.V.},
	year = {2008},
	pages = {81ff.},
	publisher = {CURAC},
	organization = {CURAC},
	author = {Born, Silvia and Mario Hlawitschka and Wellein, Daniela and Trantakis, C. and Gerik Scheuermann and K{\"u}hn, A. and Bartz, Dirk},
	editor = {Bartz, Dirk and Bohn, Stefan and Hoffmann, J.}
}
@conference { HS:2008,
	title = {Direkte Darstellung von Faserinformation durch Koh{\"a}renzma{\ss}e},
	booktitle = {Tagungsband der 7. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer- und Roboterassistierte Chirurgie e.V.},
	year = {2008},
	pages = {73ff.},
	publisher = {CURAC},
	organization = {CURAC},
	author = {Mario Hlawitschka and Gerik Scheuermann},
	editor = {Bartz, Dirk and Bohn, Stefan and Hoffmann, J.}
}
@conference {hlawitschka2008c,
	title = {Fast and Memory Efficient {GPU}-based Rendering of Tensor Data},
	booktitle = {Proceedings of the IADIS International Conference on Computer Graphics and Visualization 2008},
	year = {2008},
	pages = {36-42},
	abstract = {Graphics hardware is advancing very fast and offers new possibilities to programmers. The new features can be used in scientific visualization to move calculations from the CPU to the graphics processing unit (GPU). This is useful especially when mixing CPU intense calculations with on the fly visualization of intermediate results. We present a method to display a large amount of superquadric glyphs and demonstrate its use for visualization of measured second{\textendash}order tensor data in diffusion tensor imaging (DTI) and to stress and strain tensors of computational fluid dynamic and material simulations.},
	author = {Mario Hlawitschka and Eichelbaum, Sebastian and Gerik Scheuermann}
}
@article { SWC*:2008,
	title = {Interactive Comparison of Scalar Fields Based on Largest Contours with Applications to Flow Visualization},
	journal = {IEEE Transaction on Visualization and Computer Graphics},
	volume = {14},
	number = {6},
	year = {2008},
	pages = {1475-1482},
	author = {Schneider, D. and Alexander Wiebel and Carr, Hamish and Mario Hlawitschka and Gerik Scheuermann}
}
@conference { HSH:2007,
	title = {Interactive Glyph Placement for Tensor Fields},
	booktitle = {Advances in Visual Computing, 3rd International Symposium (ISVC)},
	series = {Lecture Notes in Computer Science},
	year = {2007},
	pages = {331-340},
	publisher = {Springer},
	organization = {Springer},
	author = {Mario Hlawitschka and Gerik Scheuermann and Bernd Hamann}
}
@conference { HSA*:2007,
	title = {Tensor Lines in Tensor Fields of Arbitrary Order},
	booktitle = {Advances in Visual Computing, 3rd International Symposium (ISVC)},
	series = {Lecture Notes in Computer Science},
	year = {2007},
	pages = {341-350},
	publisher = {Springer},
	organization = {Springer},
	author = {Mario Hlawitschka and Gerik Scheuermann and Anwander, A. and Tittgemeyer, Marc and Bernd Hamann}
}
@conference { HS:2005,
	title = {HOT{\textendash}lines {\textendash}- Tracking Lines in Higher Order Tensor Fields},
	booktitle = {IEEE Visualization 2005 Proceedings},
	year = {2005},
	pages = {27{\textendash}34},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	author = {Mario Hlawitschka and Gerik Scheuermann},
	editor = {Silva, C. T. and Gr{\"o}ller, E. and Rushmeier, H.}
}
@conference { HES:2004,
	title = {Convolution and Fourier Transform of Second Order Tensor Fields},
	booktitle = {Proceedings of IASTED VIIP 2004},
	year = {2004},
	pages = {78-83},
	author = {Mario Hlawitschka and Ebling, J. and Gerik Scheuermann}
}
