Deep-Learning-Assisted Volume Visualization. [PDF]
IEEE Trans Vis Comput Graph, 2019 Designing volume visualizations showing various structures of interest is critical to the exploratory analysis of volumetric data. The last few years have witnessed dramatic advances in the use of convolutional neural networks for identification of ...
Cheng HC +6 more
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Interactive Volume Visualization via Multi-Resolution Hash Encoding Based Neural Representation [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 Implicit neural networks have demonstrated immense potential in compressing volume data for visualization. However, despite their advantages, the high costs of training and inference have thus far limited their application to offline data processing and ...
Qi Wu +3 more
semanticscholar +1 more source
Using global illumination in volume visualization of rheumatoid arthritis CT data. [PDF]
IEEE Comput Graph Appl, 2014 Proper lighting in rendering is essential for visualizing 3D objects, but most visualization software tools still employ simple lighting models. The advent of hardware-accelerated advanced lighting suggests that volume visualization can be truly usable ...
Zheng L, Chaudhari AJ, Badawi RD, Ma KL.
europepmc +2 more sources
State‐of‐the‐art in Large‐Scale Volume Visualization Beyond Structured Data
Computer graphics forum (Print), 2023 Volume data these days is usually massive in terms of its topology, multiple fields, or temporal component. With the gap between compute and memory performance widening, the memory subsystem becomes the primary bottleneck for scientific volume ...
J. Sarton +8 more
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Learning Adaptive Sampling and Reconstruction for Volume Visualization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2020 A central challenge in data visualization is to understand which data samples are required to generate an image of a data set in which the relevant information is encoded. In this article, we make a first step towards answering the question of whether an
S. Weiss +3 more
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Volume visualization: a technical overview with a focus on medical applications. [PDF]
J Digit Imaging, 2011 Zhang Q, Eagleson R, Peters TM.
europepmc +2 more sources
VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2020 The fundamental motivation of the proposed work is to present a new visualization-guided computing paradigm to combine direct 3D volume processing and volume rendered clues for effective 3D exploration.
Yifan Wang +7 more
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Web Performance Evaluation of High Volume Streaming Data Visualization
IEEE Access, 2023 Many software and hardware applications generate an increasing volume of data and logs in real-time. Visual analytics is essential to support system monitoring and analysis of such data. For example, the world’s largest radio telescope, the Square
Saiful Khan +4 more
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CNNs Based Viewpoint Estimation for Volume Visualization [PDF]
ACM Transactions on Intelligent Systems and Technology, 2018 Viewpoint estimation from 2D rendered images is helpful in understanding how users select viewpoints for volume visualization and guiding users to select better viewpoints based on previous visualizations.
Neng Shi, Y. Tao
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Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering
Journal of Imaging, 2020 3D volume rendering may represent a complementary option in the visualization of Digital Breast Tomosynthesis (DBT) examinations by providing an understanding of the underlying data at once. Rendering parameters directly influence the quality of rendered
Ana M. Mota +3 more
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