Scalable Interactive Visualization for Connectomics by Daniel Haehn, John Hoffer, Brian Matejek, Adi Suissa-Peleg, Ali K. Al-Awami, Lee Kamentsky, Felix Gonda, Eagon Meng, William Zhang, Richard Schalek, Alyssa Wilson, Toufiq Parag, Johanna Beyer, Verena Kaynig, Thouis R. Jones, James Tompkin, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister

“…Finally, we share insights, experiences, and recommendations for creating an open source data management and interactive visualization platform for connectomics.…”
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Advanced interactive visualization for CFD by Giles, M, Haimes, R

GPU-based interactive visualization techniques / by 284995 Weiskopf, Daniel

Interactive visualization : insight through inquiry / by Ferster, Bill, 1956-

Evaluation on interactive visualization data with scatterplots by Quang Vinh Nguyen, Natalie Miller, David Arness, Weidong Huang, Mao Lin Huang, Simeon Simoff

“…A recent technique, called Linkable Scatterplots, provides an interesting idea for interactive visual exploration which provides a set of necessary plot panels on demand together with interaction, linking and brushing. …”
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Interactive Visualization for Patient-to-Patient Comparison by Quang Vinh Nguyen, Guy Nelmes, Mao Lin Huang, Simeon Simoff, Daniel Catchpoole

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Interactive visualization of data structure module by Teo, Ivan Wei Jing

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gbtools: Interactive visualization of metagenome bins in R by Brandon Kwee Boon Seah, Harald Ronald Gruber-Vodicka

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Interactive Visualization of Healthcare Data Using Tableau by Inseok Ko, Hyejung Chang

“…Since Tableau provides various visualizations and customizations, the level of analysis can be increased with small multiples, view filtering, mark cards, and Tableau charts.ConclusionsTableau is a software that can help users explore and understand their data by creating interactive visualizations. The software has the advantages that it can be used in conjunction with almost any database, and it is easy to use by dragging and dropping to create an interactive visualization expressing the desired format.…”
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PARTICIPATORY PLANNING PRACTICES BASED ON INTERACTIVE VISUALIZATION by Camila Marques Zyngier, Stefano Pensa, Elena Masala

“…The paper presents the study about the potential of the use of an interactive visualization tool, based on dynamic cartography, as resulting from the process of academic exercises on participatory planning. …”
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MoSculp: Interactive Visualization of Shape and Time by Zhang, Xiuming, Dekel, Tali, Xue, Tianfan, Owens, Andrew, He, Qiurui, Wu, Jiajun, Mueller, Stefanie, Freeman, William T.

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DIEL: Interactive Visualization Beyond the Here and Now by Wu, Yifan, Chang, Remco, Hellerstein, Joseph M, Satyanarayan, Arvind, Wu, Eugene

“…Interactive visualization design and research have primarily focused on local data and synchronous events. …”
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Dynamic Prefetching of Data Tiles for Interactive Visualization by Battle, Leilani, Chang, Remco, Stonebraker, Michael

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Interactive visualization of mathematics in 3D web by Lai, Danbo, Sourin, Alexei

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Creating Interactive Visualizations with Plotly by Grace Di Méo

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Designing interactive visualizations by demonstration by Zong, Jonathan,S.M.Massachusetts Institute of Technology.

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Image Processing and Interactive Visualization of Confocal Microscopy Images by Tang Min, Wang Hui-Nan

“…The essence and methodology is proposed for image processing and interactive visualization of confocal microscopy images. Firstly, an intensity compensation algorithm is applied to reduce noises resulted from light absorption and scattering by objects and particles in the volume through which light passed. …”
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iDREM: Interactive visualization of dynamic regulatory networks. by Jun Ding, James S Hagood, Namasivayam Ambalavanan, Naftali Kaminski, Ziv Bar-Joseph

“…To address this challenge we have developed a new version of DREM termed interactive DREM (iDREM). iDREM provides support for all data types mentioned above and combines them with existing interaction data to reconstruct networks that can lead to novel hypotheses on the function and timing of regulators. Users can interactively visualize and query the resulting model. We showcase the functionality of the new tool by applying it to microglia developmental data from multiple labs.…”
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AI Enabled Bridge Bidding Supporting Interactive Visualization by Xiaoyu Zhang, Wei Liu, Linhui Lou, Fangchun Yang

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BPG: Seamless, automated and interactive visualization of scientific data by Christine P’ng, Jeffrey Green, Lauren C. Chong, Daryl Waggott, Stephenie D. Prokopec, Mehrdad Shamsi, Francis Nguyen, Denise Y. F. Mak, Felix Lam, Marco A. Albuquerque, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle A. Chan-Seng-Yue, Cindy Q. Yao, Bianca Liang, Emilie Lalonde, Syed Haider, Nicole A. Simone, Dorota Sendorek, Kenneth C. Chu, Nathalie C. Moon, Natalie S. Fox, Michal R. Grzadkowski, Nicholas J. Harding, Clement Fung, Amanda R. Murdoch, Kathleen E. Houlahan, Jianxin Wang, David R. Garcia, Richard de Borja, Ren X. Sun, Xihui Lin, Gregory M. Chen, Aileen Lu, Yu-Jia Shiah, Amin Zia, Ryan Kearns, Paul C. Boutros

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