anchor.diff:  InfoVis,TVCG,MyBrush: Brushing and Linking with Personal Agency,"Philipp Koytek, Charles Perin, Jo Vermeulen, Elisabeth André, Sheelagh Carpendale",http://innovis.cpsc.ucalgary.ca/supplemental/MyBrush/2018_VIS_mybrush.pdf,"We extend the popular brushing and linking technique by incorporating personal agency in the interaction. We map existing research related to brushing and linking into a design space that deconstructs the interaction technique into three components: source (what is being brushed), link (the expression of relationship between source and target), and target (what is revealed as related to the source). Using this design space, we created MyBrush, a unified interface that offers personal agency over brushing and linking by giving people the flexibility to configure the source, link, and target of multiple brushes. The results of three focus groups demonstrate that people with different backgrounds leveraged personal agency in different ways, including performing complex tasks and showing links explicitly. We reflect on these results, paving the way for future research on the role of personal agency in information visualization.",http://innovis.cpsc.ucalgary.ca/supplemental/MyBrush/demo/,https://github.com/philippkoytek/mybrush,,youtube 1iAtPhWEV9I,,2018,2017,InfoVis,301-D,Tuesday,Techniques,2:20 PM,2:40 PM
   InfoVis,TVCG,Nonlinear Dot Plots,"Nils Rodrigues, Daniel Weiskopf",,,,,,,,2018,2017,InfoVis,301-D,Tuesday,Techniques,2:40 PM,3:00 PM
   InfoVis,TVCG,Open vs Closed Shapes: New Perceptual Categories?,"David Burlinson, Kalpathi Subramanian, Paula Goolkasian",,,,,,,,2018,2017,InfoVis,301-D,Wednesday,Perception,8:50 AM,9:10 AM
  -InfoVis,TVCG,Orko: Facilitating Multimodal Interaction for Visual Network Exploration and Analysis,"Arjun Srinivasan, John Stasko",http://arjun010.github.io/static/papers/orko-infovis-17.pdf,"Data visualization systems have predominantly been developed for WIMP-based direct manipulation interfaces. Only recently have other forms of interaction begun to appear, such as natural language or touch-based interaction, though usually operating only independently. Prior evaluations of natural language interfaces for visualization have indicated potential value in combining direct manipulation and natural language as complementary interaction techniques. We hypothesize that truly multimodal interfaces for visualization, those providing users with freedom of expression via both natural language and touch-based direct manipulation input, may provide an effective and engaging user experience. Unfortunately, however, little work has been done in exploring such multimodal visualization interfaces. To address this gap, we have created an architecture and a prototype visualization system called Orko that facilitates both natural language and direct manipulation input. Specifically, Orko focuses on the domain of network visualization, one that has largely relied on WIMP-based interfaces and direct manipulation interaction, and has little or no prior research exploring natural language interaction. We report results from an initial evaluation study of Orko, and use our observations to discuss opportunities and challenges for future work in multimodal network visualization interfaces.",,,,vimeo 230840776,,2018,2017,InfoVis,301-D,Thursday,Graphs and Paths,5:15 PM,5:35 PM
  +InfoVis,TVCG,Orko: Facilitating Multimodal Interaction for Visual Exploration and Analysis of Networks,"Arjun Srinivasan, John Stasko",http://arjun010.github.io/static/papers/orko-infovis-17.pdf,"Data visualization systems have predominantly been developed for WIMP-based direct manipulation interfaces. Only recently have other forms of interaction begun to appear, such as natural language or touch-based interaction, though usually operating only independently. Prior evaluations of natural language interfaces for visualization have indicated potential value in combining direct manipulation and natural language as complementary interaction techniques. We hypothesize that truly multimodal interfaces for visualization, those providing users with freedom of expression via both natural language and touch-based direct manipulation input, may provide an effective and engaging user experience. Unfortunately, however, little work has been done in exploring such multimodal visualization interfaces. To address this gap, we have created an architecture and a prototype visualization system called Orko that facilitates both natural language and direct manipulation input. Specifically, Orko focuses on the domain of network visualization, one that has largely relied on WIMP-based interfaces and direct manipulation interaction, and has little or no prior research exploring natural language interaction. We report results from an initial evaluation study of Orko, and use our observations to discuss opportunities and challenges for future work in multimodal network visualization interfaces.",,,,vimeo 230840776,,2018,2017,InfoVis,301-D,Thursday,Graphs and Paths,5:15 PM,5:35 PM
   InfoVis,TVCG,Priming and Anchoring Effects in Visualizations,"André Calero Valdez, Martina Ziefle, Michael Sedlmair",http://homepage.univie.ac.at/michael.sedlmair/papers/calero-valdez2017priming.pdf,"We investigate priming and anchoring effects on perceptual tasks in visualization. Priming or anchoring effects depict the phenomena that a stimulus might influence subsequent human judgments on a perceptual level, or on a cognitive level by providing a frame of reference. Using visual class separability in scatterplots as an example task, we performed a set of five studies to investigate the potential existence of priming and anchoring effects. Our findings show that—under certain circumstances—such effects indeed exist. In other words, humans judge class separability of the same scatterplot differently depending on the scatterplot(s) they have seen before. These findings inform future work on better understanding and more accurately modeling human perception of visual patterns.",,,,youtube ynD_mbygJdU,,2018,2017,InfoVis,301-D,Wednesday,Perception,9:30 AM,9:50 AM
   InfoVis,TVCG,Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization,"Yunhai Wang, Yanyan Wang, Yingqi Sun, Lifeng Zhu, Chi-Wing Fu, Michael Sedlmair, Oliver Deussen, Baoquan Chen, Kecheng Lu",http://graphics.uni-konstanz.de/publikationen/Wang2018RevisitingStressMajorization/constrained-graph.pdf,"We present an improved stress majorization method that incorporates various constraints, including directional constraints without the necessity of solving a constraint optimization problem. This is achieved by reformulating the stress function to impose constraints on both the edge vectors and lengths instead of just on the edge lengths (node distances). This is a unified framework for both constrained and unconstrained graph visualizations, where we can model most existing layout constraints, as well as develop new ones such as the star shapes and cluster separation constraints within stress majorization. This improvement also allows us to parallelize computation with an efficient GPU conjugant gradient solver, which yields fast and stable solutions, even for large graphs. As a result, we allow the constraint-based exploration of large graphs with 10K nodes – an approach which previous methods cannot support.",,,,vimeo 230840913,,2018,2017,InfoVis,301-D,Thursday,Graphs and Paths,4:35 PM,4:55 PM
   InfoVis,TVCG,"Scatterplots: Tasks, Data, and Designs","Alper Sarikaya, Michael Gleicher",http://graphics.cs.wisc.edu/Papers/2018/SG18/scatterplots-preprint.pdf,"Traditional scatterplots fail to scale as the complexity and amount of data increases. In response, there exist many design options that modify or expand the traditional scatterplot design to meet these larger scales. This breadth of design options creates challenges for designers and practitioners who must select appropriate designs for particular analysis goals. In this paper, we help designers in making design choices for scatterplot visualizations. We survey the literature to catalog scatterplot-specific analysis tasks. We look at how data characteristics influence design decisions. We then survey scatterplot-like designs to understand the range of design options. Building upon these three organizations, we connect data characteristics, analysis tasks, and design choices in order to generate challenges, open questions, and example best practices for the effective design of scatterplots",,,,video https://graphics.cs.wisc.edu/Papers/2018/SG18/scatterplot-paper-ff.mp4,,2018,2017,InfoVis,301-D,Wednesday,Design,10:30 AM,10:50 AM
   InfoVis,TVCG,Skeleton-based Scagnostics,"José Matute, Alex Telea, Lars Linsen",http://www.cs.rug.nl/~alext/PAPERS/InfoVis17/paper2.pdf,"Scatterplot matrices (SPLOMs) are widely used for exploring multidimensional data. Scatterplot diagnostics (scagnostics) approaches measure characteristics of scatterplots to automatically find potentially interesting plots, thereby making SPLOMs more scalable with the dimension count. While statistical measures such as regression lines can capture orientation, and graph-theoretic scagnostics measures can capture shape, there is no scatterplot characterization measure that uses both descriptors. Based on well-known results in shape analysis, we propose a scagnostics approach that captures both scatterplot shape and orientation using skeletons (or medial axes). Our representation can handle complex spatial distributions, helps discovery of principal trends in a multiscale way, scales visually well with the number of samples, is robust to noise, and is automatic and fast to compute. We define skeleton-based similarity metrics for the visual exploration and analysis of SPLOMs. We perform a user study to measure the human perception of scatterplot similarity and compare the outcome to our results as well as to graph-based scagnostics and other visual quality metrics. Our skeleton-based metrics outperform previously defined measures both in terms of closeness to perceptually-based similarity and computation time efficiency.",,,,vimeo 230841215,,2018,2017,InfoVis,301-D,Wednesday,Multidimensional Data,2:20 PM,2:40 PM
   InfoVis,TVCG,Stable Treemaps via Local Moves,"Max Sondag, Bettina Speckmann, Kevin Verbeek",,,,,,,,2018,2017,InfoVis,301-D,Thursday,Trees and Table Tennis,11:10 AM,11:30 AM
  -InfoVis,TVCG,Structuring Visualization Mock-ups at a Graphical Level by Dividing the Display Space,"Romain Vuillemot, Jeremy Boy",http://romain.vuillemot.net/publis/infovis17-visualization-mockups.pdf,"Mock-ups are rapid, low fidelity prototypes, that are used in many design-related fields to generate and share ideas. While their creation is supported by many mature methods and tools, surprisingly little are suited for the needs of information visualization. In this article, we introduce a novel approach to creating visualizations mock-ups, based on a dialogue between graphic design and parametric toolkit explorations. Our approach consists in iteratively subdividing the display space, while progressively informing each division with realistic data. We show that a wealth of mock-ups can easily be created using only temporary data attributes, as we wait for more realistic data to become available. We describe the implementation of this approach in a D3-based toolkit, which we use to highlight its generative power, and we discuss the potential for transitioning towards higher fidelity prototypes",,https://github.com/romsson/d3-gridding,,vimeo 230840552,,2018,2017,InfoVis,301-D,Wednesday,Design,11:10 AM,11:30 AM
  +InfoVis,TVCG,Structuring Visualization Mock-Ups at the Graphical Level by Dividing the Display Space,"Romain Vuillemot, Jeremy Boy",http://romain.vuillemot.net/publis/infovis17-visualization-mockups.pdf,"Mock-ups are rapid, low fidelity prototypes, that are used in many design-related fields to generate and share ideas. While their creation is supported by many mature methods and tools, surprisingly little are suited for the needs of information visualization. In this article, we introduce a novel approach to creating visualizations mock-ups, based on a dialogue between graphic design and parametric toolkit explorations. Our approach consists in iteratively subdividing the display space, while progressively informing each division with realistic data. We show that a wealth of mock-ups can easily be created using only temporary data attributes, as we wait for more realistic data to become available. We describe the implementation of this approach in a D3-based toolkit, which we use to highlight its generative power, and we discuss the potential for transitioning towards higher fidelity prototypes",,https://github.com/romsson/d3-gridding,,vimeo 230840552,,2018,2017,InfoVis,301-D,Wednesday,Design,11:10 AM,11:30 AM
   InfoVis,TVCG,TACO: Visualizing Changes in Tables Over Time,"Christina Niederer, Holger Stitz, Reem Hourieh, Florian Grassinger, Wolfgang Aigner, Marc Streit",http://data.caleydo.org/papers/2017_infovis_taco.pdf,"Multivariate, tabular data is one of the most common data structures used in many different domains. Over time, tables can undergo changes in both structure and content, which results in multiple versions of the same table. A challenging task when working with such derived tables is to understand what exactly has changed between versions in terms of additions/deletions, reorder, merge/split, and content changes. For textual data, a variety of commonplace ""diff"" tools exist that support the task of investigating changes between revisions of a text. Although there are some comparison tools which assist users in inspecting differences between multiple table instances, the resulting visualizations are often difficult to interpret or do not scale to large tables with thousands of rows and columns. To address these challenges, we developed TACO, an interactive comparison tool that visualizes effectively the differences between multiple tables at various levels of detail. With TACO we show (1) the aggregated differences between multiple table versions over time, (2) the aggregated changes between two selected table versions, and (3) detailed changes between the selection. To demonstrate the effectiveness of our approach, we show its application by means of two usage scenarios.",,https://github.com/Caleydo/taco/,,vimeo 230840851,,2018,2017,InfoVis,301-D,Tuesday,Time and Space,4:15 PM,4:35 PM
   InfoVis,TVCG,Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries,"Cristian Felix, Steven Franconeri, Enrico Bertini",http://enrico.bertini.io/s/infovis17-word-clouds-apart.pdf,"In this paper we present a set of four user studies aimed at exploring the visual design space of what we call keyword summaries: lists of words with associated quantitative values used to help people derive an intuition of what information a given document collection (or part of it) may contain. We seek to systematically study how different visual representations may affect people’s performance in extracting information out of keyword summaries. To this purpose, we first create a design space of possible visual representations and compare the possible solutions in this design space through a variety of representative tasks and performance metrics. Other researchers have, in the past, studied some aspects of effectiveness with word clouds, however, the existing literature is somewhat scattered and do not seem to address the problem in a sufficiently systematic and holistic manner. The results of our studies showed a strong dependency on the tasks users are performing. In this paper we present details of our methodology, the results, as well as, guidelines on how to design effective keyword summaries based in our discoveries.",,,,vimeo 230840786,,2018,2017,InfoVis,301-D,Thursday,Text and Machine Learning,9:30 AM,9:50 AM
   InfoVis,TVCG,The explanatory visualization framework: An active learning framework for teaching creative computing using explanatory visualizations,"Jonathan Roberts, Panagiotis Ritsos, James Jackson, Christopher Headleand",http://pdritsos.com/files/Roberts-et-al-TVCG-2018.pdf,"Visualizations are nowadays appearing in popular media and are used everyday in the workplace. This democratisation of visualization challenges educators to develop effective learning strategies, in order to train the next generation of creative visualization specialists. There is high demand for skilled individuals who can analyse a problem, consider alternative designs, develop new visualizations, and be creative and innovative. Our three-stage framework, leads the learner through a series of tasks, each designed to develop different skills necessary for coming up with creative, innovative, effective, and purposeful visualizations. For that, we get the learners to create an explanatory visualization of an algorithm of their choice. By making an algorithm choice, and by following an active-learning and project-based strategy, the learners take ownership of a particular visualization challenge. They become enthusiastic to develop good results and learn different creative skills on their learning journey.",,,,vimeo 230840888,,2018,2017,InfoVis,301-D,Thursday,Understanding Visualization,3:20 PM,3:40 PM
  
positive.code: SciVis,TVCG,BASTet: Shareable and reproducible analysis and visualization of mass spectrometry imaging data via OpenMSI,"Oliver Ruebel, Benjamin P. Bowen",,,https://openmsi.nersc.gov/openmsi/client/bastet.html,https://github.com/biorack/BASTet,,vimeo 230835941,,2018,2017,SciVis,106-ABC,Friday,Applications and Visual analysis,9:50 AM,10:10 AM
  SciVis,TVCG,Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks,"Bastian Rieck, Ulderico Fugacci, Jonas Lukasczyk, Heike Leitte",https://osf.io/td973/,"Complex networks require effective tools and visualizations for their analysis and comparison. Clique communities have been recognized as a powerful concept for describing cohesive structures in networks. We propose an approach that extends the computation of clique communities by considering persistent homology, a topological paradigm originally introduced to characterize and compare the global structure of shapes. Our persistence-based algorithm is able to detect clique communities and to keep track of their evolution according to different edge weight thresholds. We use this information to define comparison metrics and a new centrality measure, both reflecting the relevance of the clique communities inherent to the network. Moreover, we propose an interactive visualization tool based on nested graphs that is capable of compactly representing the evolving relationships between communities for different thresholds and clique degrees. We demonstrate the effectiveness of our approach on various network types",,https://osf.io/rdktg/,,vimeo 230835775,,2018,2017,SciVis,207,Wednesday,Topology-based methods,2:20 PM,2:40 PM
  SciVis,TVCG,Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing,"Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka",http://www.mcs.anl.gov/papers/P7034-0417.pdf,"Particle tracing is a fundamental technique in flow field data visualization. In this work, we present a novel dynamic load balancing method for parallel particle tracing. Specifically, we employ a constrained k-d tree decomposition approach to dynamically redistribute tasks among processes. Each process is initially assigned a regularly partitioned block along with duplicated ghost layer under the memory limit. During particle tracing, the k-d tree decomposition is dynamically performed by constraining the cutting planes in the overlap range of duplicated data. This ensures that each process is reassigned particles as even as possible, and on the other hand the new assigned particles for a process always locate in its block. Result shows good load balance and high efficiency of our method.",,,,,,2018,2017,SciVis,207,Tuesday,"Mix: Foundations, uncertainty, particles",3:20 PM,3:40 PM
  SciVis,TVCG,Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization,"Karl Bladin, Emil Axelsson, Erik Broberg, Carter Emmart, Patric Ljung, Alexander Bock, Anders Ynnerman",https://alexanderbock.github.io/papers/vis17-bladin-globe_browsing.pdf,"Results of planetary mapping are often shared openly for use in scientific research and mission planning. In its raw format, however, the data is not accessible to non-experts due to the difficulty in grasping the context and the intricate acquisition process. We present work on tailoring and integration of multiple data processing and visualization methods to interactively contextualize geospatial surface data of celestial bodies for use in science communication. As our approach handles dynamic data sources, streamed from online repositories, we are significantly shortening the time between discovery and dissemination of data and results. We describe the image acquisition pipeline, the pre-processing steps to derive a 2.5D terrain, and a chunked level-of-detail, out-of-core rendering approach to enable interactive exploration of global maps and high-resolution digital terrain models. The results are demonstrated for three different celestial bodies. The first case addresses high-resolution map data on the surface of Mars. A second case is showing dynamic processes, such as concurrent weather conditions on Earth that require temporal datasets. As a final example we use data from the New Horizons spacecraft which acquired images during a single flyby of Pluto. We visualize the acquisition process as well as the resulting surface data. Our work has been implemented in the OpenSpace software [8], which enables interactive presentations in a range of environments such as immersive dome theaters, interactive touch tables, and virtual reality headsets.",,,,vimeo 230835323,,2018,2017,Other,207,Tuesday,VIS Awards & Best Papers,9:45 AM,10:05 AM
  SciVis,TVCG,Instant Construction and Visualization of Crowded Biological Environments,"Tobias Klein, Ludovic K. Autin, Barbora Kozlikova, David Goodsell, Arthur Olson, Eduard Gröller, Ivan Viola",https://www.cg.tuwien.ac.at/research/publications/2017/klein_2017_IM/klein_2017_IM-paper.pdf,"We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations, and interactions. Their construction has previously been attempted only within a non-visual and non-interactive environment. Our solution unites the modeling and visualization aspect, enabling interactive construction of atomic resolution mesoscale models of large portions of a cell. We present a novel set of GPU algorithms that build the basis for the rapid construction of complex biological structures. These structures consist of multiple membrane-enclosed compartments including both soluble molecules and fibrous structures. The compartments are defined using volume voxelization of triangulated meshes. For membranes, we present an extension of the Wang Tile concept that populates the bilayer with individual lipids. Soluble molecules are populated within compartments using the Halton sequence for their distribution. Fibrous structures, such as RNA or actin filaments, are created by self-avoiding random walks. Resulting overlaps of molecules are resolved by a forced-based system. Our approach opens new possibilities to the world of interactive construction of cellular compartments. We demonstrate its effectiveness by showcasing scenes of different scale and complexity that comprise blood plasma, mycoplasma, and HIV.",,,,vimeo 230835707,,2018,2017,SciVis,207,Thursday,Visualization in Biology and Medicine,8:50 AM,9:10 AM
  SciVis,TVCG,Interactive Design and Visualization of Branched Covering Spaces,"Lawrence Roy, Prashant Kumar, Sanaz Golbabaei, Yue Zhang, Eugene Zhang",http://web.engr.oregonstate.edu/~zhange/images/Paper_BCSVis_main.pdf,"Branched covering spaces are a mathematical concept which originates from complex analysis and topology and has applications in tensor field topology and geometry remeshing. Given a manifold surface and an N-way rotational symmetry field, a branched covering space is a manifold surface that has an N-to-1 map to the original surface except at the ramification points, which correspond to the singularities in the rotational symmetry field. Understanding the notion and mathematical properties of branched covering spaces is important to researchers in tensor field visualization and geometry processing, and their application areas. In this paper, we provide a framework to interactively design and visualize the branched covering space (BCS) of an input mesh surface and a rotational symmetry field defined on it. In our framework, the user can visualize not only the BCSs but also their construction process. In addition, our system allows the user to design the geometric realization of the BCS using mesh deformation techniques as well as connecting tubes. This enables the user to verify important facts about BCSs such as that they are manifold surfaces around singularities, as well as the Riemann-Hurwitz formula which relates the Euler characteristic of the BCS to that of the original mesh. Our system is evaluated by student researchers in scientific visualization and geometry processing as well as faculty members in mathematics at our university who teach topology. We include their evaluations and feedback in the paper.",,,,vimeo 230835443,,2018,2017,SciVis,207,Wednesday,Topology-based methods,3:20 PM,3:40 PM
  SciVis,TVCG,Interactive Dynamic Volume Illumination with Refraction and Caustics,"Jens Magnus, Stefan Bruckner",,,,,,youtube 3tn6sSXw4NQ,,2018,2017,SciVis,207,Tuesday,Volume Rendering,5:15 PM,5:35 PM
  
negative.code: SciVis,TVCG,The Topology ToolKit,"Julien Tierny, Guillaume Favelier, Joshua Levine, Charles Gueunet, Michaël Michaux",https://hal.archives-ouvertes.fr/hal-01499905/document,"This system paper presents the Topology ToolKit (TTK), a software platform designed for the topological analysis of scalar data in scientific visualization. While topological data analysis has gained in popularity over the last two decades, it has not yet been widely adopted as a standard data analysis tool for end users or developers. TTK aims at addressing this problem by providing a unified, generic, efficient, and robust implementation of key algorithms for the topological analysis of scalar data, including: critical points, integral lines, persistence diagrams, persistence curves, merge trees, contour trees, Morse-Smale complexes, fiber surfaces, continuous scatterplots, Jacobi sets, Reeb spaces, and more. TTK is easily accessible to end users due to a tight integration with ParaView. It is also easily accessible to developers through a variety of bindings (Python, VTK/C++) for fast prototyping or through direct, dependency-free, C++, to ease integration into pre-existing complex systems. While developing TTK, we faced several algorithmic and software engineering challenges, which we document in this paper. In particular, we present an algorithm for the construction of a discrete gradient that complies to the critical points extracted in the piecewise-linear setting. This algorithm guarantees a combinatorial consistency across the topological abstractions supported by TTK, and importantly, a unified implementation of topological data simplification for multi-scale exploration and analysis. We also present a cached triangulation data structure, that supports time efficient and generic traversals, which self-adjusts its memory usage on demand for input simplicial meshes and which implicitly emulates a triangulation for regular grids with no memory overhead. Finally, we describe an original software architecture, which guarantees memory efficient and direct accesses to TTK features, while still allowing for researchers powerful and easy bindings and extensions. TTK is open source (BSD license) and its code, online documentation and video tutorials are available on TTK’s website [108].",https://topology-tool-kit.github.io/,https://github.com/topology-tool-kit/ttk,,youtube Hn8w0V-jHgw,,2018,2017,SciVis,207,Wednesday,Topology-based methods,2:40 PM,3:00 PM
  SciVis,TVCG,TopoAngler: Interactive Topology-based Extraction of Fishes,"Alexander Bock, Harish Doraiswamy, Adam Summers, Claudio Silva",https://alexanderbock.github.io/papers/vis17-bock-topoangler.pdf,"We present TopoAngler, a visualization framework that enables an interactive user-guided segmentation of fishes contained in a micro-CT scan. The inherent noise in the CT scan coupled with the often disconnected (and sometimes broken) skeletal structure of fishes makes an automatic segmentation of the volume impractical. To overcome this, our framework combines techniques from computational topology with an interactive visual interface, enabling the human-in-the-loop to effectively extract fishes from the volume. In the first step, the join tree of the input is used to create a hierarchical segmentation of the volume. Through the use of linked views, the visual interface then allows users to interactively explore this hierarchy, and gather parts of individual fishes into a coherent sub-volume, thus reconstructing entire fishes. Our framework was primarily developed for its application to CT scans of fishes, generated as part of the ScanAllFish project, through close collaboration with their lead scientist. However, we expect it to also be applicable in other biological applications where a single data set contains multiple specimen; a common routine that is now widely followed in laboratories to increase throughput of expensive CT scanners.",,,,youtube gz22DjMRJjk,,2018,2017,SciVis,207,Wednesday,Topology-based methods,2:00 PM,2:20 PM
  SciVis,TVCG,Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models,"Subhashis Hazarika, Ayan Biswas, Han-Wei Shen",,,,,,,,2018,2017,SciVis,207,Tuesday,"Mix: Foundations, uncertainty, particles",2:40 PM,3:00 PM
  SciVis,TVCG,Visualization Multi-Pipeline for Communicating Biology,"Peter Mindek, David Kouřil, Johannes Sorger, Daniel Toloudis, Blair Lyons, Graham Johnson, M. Eduard Gröller, Ivan Viola",https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper.pdf,"We propose a system to facilitate biology communication by developing a pipeline to support the instructional visualization of heterogeneous biological data on heterogeneous user-devices. Discoveries and concepts in biology are typically summarized with illustrations assembled manually from the interpretation and application of heterogenous data. The creation of such illustrations is time consuming, which makes it incompatible with frequent updates to the measured data as new discoveries are made. Illustrations are typically non-interactive, and when an illustration is updated, it still has to reach the user. Our system is designed to overcome these three obstacles. It supports the integration of heterogeneous datasets, reflecting the knowledge that is gained from different data sources in biology. After pre-processing the datasets, the system transforms them into visual representations as inspired by scientific illustrations. As opposed to traditional scientific illustration these representations are generated in real-time - they are interactive. The code generating the visualizations can be embedded in various software environments. To demonstrate this, we implemented both a desktop application and a remote-rendering server in which the pipeline is embedded. The remote-rendering server supports multi-threaded rendering and it is able to handle multiple users simultaneously. This scalability to different hardware environments, including multi-GPU setups, makes our system useful for efficient public dissemination of biological discoveries.",,,,video https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview.avi,,2018,2017,SciVis,207,Thursday,Visualization in Biology and Medicine,9:30 AM,9:50 AM
  SciVis,TVCG,Decision Graph Embedding for High-Resolution Manometry Diagnosis,"Julian Kreiser, Alexander Hann, Eugen Zizer, Timo Ropinski",,,,,,,,2018,2017,SciVis,207,Thursday,Visualization in Biology and Medicine,9:10 AM,9:30 AM