Search Results - "Mateevitsi, Victor"

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  1. 1

    Distributed Neural Representation for Reactive In Situ Visualization by Wu, Qi, Insley, Joseph A., Mateevitsi, Victor A., Rizzi, Silvio, Papka, Michael E., Ma, Kwan-Liu

    “…Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ…”
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    Journal Article
  2. 2

    SAGE2: A collaboration portal for scalable resolution displays by Renambot, Luc, Marrinan, Thomas, Aurisano, Jillian, Nishimoto, Arthur, Mateevitsi, Victor, Bharadwaj, Krishna, Long, Lance, Johnson, Andy, Brown, Maxine, Leigh, Jason

    Published in Future generation computer systems (01-01-2016)
    “…In this paper, we present SAGE2, a software framework that enables local and remote collaboration on Scalable Resolution Display Environments (SRDE). An SRDE…”
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    Journal Article
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  4. 4

    Scalable Adaptive Graphics Environment: A Novel Way to View and Manipulate Whole-Slide Images by Mateevitsi, Victor, Levy, Bruce

    Published in Analytical cellular pathology (Amsterdam) (01-01-2014)
    “…The Scalable Adaptive Graphics Environment (SAGE) was developed at the University of Illinois at Chicago’s (UIC) Electronic Visualization Laboratory (EVL) to…”
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    Journal Article
  5. 5

    Reimagining the microscope in the 21 st century using the scalable adaptive graphics environment by Mateevitsi, Victor, Patel, Tushar, Leigh, Jason, Levy, Bruce

    Published in Journal of pathology informatics (01-01-2015)
    “…Background: Whole-slide imaging (WSI), while technologically mature, remains in the early adopter phase of the technology adoption lifecycle. One reason for…”
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    Journal Article
  6. 6

    SAGE2: A new approach for data intensive collaboration using Scalable Resolution Shared Displays by Marrinan, Thomas, Aurisano, Jillian, Nishimoto, Arthur, Bharadwaj, Krishna, Mateevitsi, Victor, Renambot, Luc, Long, Lance, Johnson, Andrew, Leigh, Jason

    “…Current web-based collaboration systems, such as Google Hangouts, WebEx, and Skype, primarily enable single users to work with remote collaborators through…”
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    Conference Proceeding
  7. 7

    Sort-Last In-Transit Data Visualization with SENSEI, Catalyst, and Unreal Engine by Nealey, Isaac, Ferrier, Nicola, Insley, Joseph A., Mateevitsi, Victor A., Rizzi, Silvio, Schulze, Jurgen

    “…We present a end-to-end in-transit workflow that uses SENSEI [1], Paraview Catalyst [2], and Unreal Engine [3] for interactive rendering of large scale…”
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    Conference Proceeding
  8. 8

    Distributed Volumetric Neural Representation for in situ Visualization and Analysis by Wu, Qi, Insley, Joseph A., Mateevitsi, Victor A., Rizzi, Silvio, Ma, Kwan-Liu

    “…Volumetric grids have recently been used by many recent works for representing complex scenes implicitly. A volumetric neural representation can be several…”
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    Conference Proceeding
  9. 9

    Massive Data Visualization Techniques for use in Virtual Reality Devices by Ortiz, Jason A., Insley, Joseph A., Knowles, Janet, Mateevitsi, Victor A., Papka, Michael E., Rizzi, Silvio

    “…Scientific simulations executed on supercomputers produce massive amounts of data. Visualizing this data is essential to discovery and dissemination, but…”
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    Conference Proceeding
  10. 10

    Toward Bi-directional In Situ Visualization and Analysis of Blood Flow Simulations With Dynamic Deforming Walls by Tishchenko, Nazariy, Ferrier, Nicola, Insley, Joseph A., Mateevitsi, Victor A., Papka, Michael E., Rizzi, Silvio, Tan, Jifu

    “…We present some preliminary work toward bi-directional in situ visualization and analysis of blood flow considering blood cell suspensions and dynamic moving…”
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    Conference Proceeding
  11. 11

    Omegalib: A multi-view application framework for hybrid reality display environments by Febretti, Alessandro, Nishimoto, Arthur, Mateevitsi, Victor, Renambot, Luc, Johnson, Andrew, Leigh, Jason

    Published in 2014 IEEE Virtual Reality (VR) (01-03-2014)
    “…In the domain of large-scale visualization instruments, hybrid reality environments (HREs) are a recent innovation that combines the best-in-class capabilities…”
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    Conference Proceeding
  12. 12

    A human-computer collaborative workflow for the acquisition and analysis of terrestrial insect movement in behavioral field studies by Reda, Khairi, Mateevitsi, Victor, Offord, Catherine

    “…The study of insect behavior from video sequences poses many challenges. Despite the advances in image processing techniques, the current generation of insect…”
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    Journal Article
  13. 13

    A human-computer collaborative workflow for the acquisition and analysis of terrestrial insect movement in behavioral field studies: Doc 90 by Reda, Khairi, Mateevitsi, Victor, Offord, Catherine

    “…The study of insect behavior from video sequences poses many challenges. Despite the advances in image processing techniques, the current generation of insect…”
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    Journal Article
  14. 14

    Reimagining the microscope in the 21st century using the scalable adaptive graphics environment by Mateevitsi, Victor, Patel, Tushar, Leigh, Jason, Levy, Bruce

    Published in Journal of pathology informatics (01-01-2015)
    “…Background: Whole-slide imaging (WSI), while technologically mature, remains in the early adopter phase of the technology adoption lifecycle. One reason for…”
    Get full text
    Journal Article
  15. 15

    Reimagining the microscope in the 21(st) century using the scalable adaptive graphics environment by Mateevitsi, Victor, Patel, Tushar, Leigh, Jason, Levy, Bruce

    Published in Journal of pathology informatics (2015)
    “…Whole-slide imaging (WSI), while technologically mature, remains in the early adopter phase of the technology adoption lifecycle. One reason for this current…”
    Get full text
    Journal Article
  16. 16

    Science in a Blink: Supporting Ensemble Perception in Scalar Fields by Mateevitsi, Victor A, Papka, Michael E, Reda, Khairi

    Published 20-06-2024
    “…Visualizations support rapid analysis of scientific datasets, allowing viewers to glean aggregate information (e.g., the mean) within split-seconds. While…”
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    Journal Article
  17. 17

    2023 IEEE Scientific Visualization Contest Winner: VisAnywhere: Developing Multiplatform Scientific Visualization Applications by Marrinan, Thomas, Mateevitsi, Victor A., Moeller, Madeleine, Kanayinkal, Alina, Papka, Michael E.

    Published in IEEE computer graphics and applications (01-09-2024)
    “…Scientists often explore and analyze large-scale scientific simulation data by leveraging 2-D and 3-D visualizations. The data and tasks can be complex and…”
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    Magazine Article
  18. 18

    VisAnywhere: Developing Multi-platform Scientific Visualization Applications by Marrinan, Thomas, Moeller, Madeleine, Kanayinkal, Alina, Mateevitsi, Victor A, Papka, Michael E

    Published 26-04-2024
    “…Scientists often explore and analyze large-scale scientific simulation data by leveraging two- and three-dimensional visualizations. The data and tasks can be…”
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    Journal Article
  19. 19

    Distributed Neural Representation for Reactive in situ Visualization by Wu, Qi, Insley, Joseph A, Mateevitsi, Victor A, Rizzi, Silvio, Papka, Michael E, Ma, Kwan-Liu

    Published 27-03-2023
    “…Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ…”
    Get full text
    Journal Article
  20. 20

    Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis by Bucaro, Anthony, Murphy, Connor, Ferrier, Nicola, Insley, Joseph, Mateevitsi, Victor, Papka, Michael E., Rizzi, Silvio, Tan, Jifu

    “…Blood flow simulations have important applications in engineering and medicine, requiring visualization and analysis for both fluid (blood plasma) and solid…”
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    Conference Proceeding