Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tushar M. Athawale"'
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 11:812-822
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d5dfc8470b779697eb96601ceb7b32
https://doi.org/10.1080/21681163.2022.2113824
https://doi.org/10.1080/21681163.2022.2113824
Publikováno v:
IEEE Trans Vis Comput Graph
Morse complexes are gradient-based topological descriptors with close connections to Morse theory. They are widely applicable in scientific visualization as they serve as important abstractions for gaining insights into the topology of scalar fields.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8006647bb12f6241f170d13547f512a2
https://doi.org/10.1109/tvcg.2020.3022359
https://doi.org/10.1109/tvcg.2020.3022359
Electrocardiographic imaging (ECGI) presents a clinical opportunity to noninvasively understand the sources of arrhythmias for individual patients. To help increase the effectiveness of ECGI, we provide new ways to visualize associated measurement an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16997c7ef4190611a4d63d0d819be0e3
https://doi.org/10.1101/2022.09.02.506414
https://doi.org/10.1101/2022.09.02.506414
Visualization and analysis of multivariate data and their uncertainty are top research challenges in data visualization. Constructing fiber surfaces is a popular technique for multivariate data visualization that generalizes the idea of level-set vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da1b0d6772caabff7651ea9893d1b47a
http://arxiv.org/abs/2207.11318
http://arxiv.org/abs/2207.11318
Visualizing the uncertainty of ensemble simulations is challenging due to the large size and multivariate and temporal features of ensemble data sets. One popular approach to studying the uncertainty of ensembles is analyzing the positional uncertain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ebaa575ad4ac9ecade8bab33297556f
Publikováno v:
2021 IEEE Visualization Conference (VIS).
Marching squares (MS) and marching cubes (MC) are widely used algorithms for level-set visualization of scientific data. In this paper, we address the challenge of uncertainty visualization of the topology cases of the MS and MC algorithms for uncert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430a8592d116d420118c73ce8bd0fddc
https://doi.org/10.1109/vis49827.2021.9623267
https://doi.org/10.1109/vis49827.2021.9623267
Publikováno v:
e-Energy
The efficiency of solar panels depends on the operating temperature. As the panel temperature rises, efficiency drops. Thus, the solar energy community aims to understand the factors that influence the operating temperature, which include wind speed,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::379483fcb780869e48d0e6ede781e98f
https://doi.org/10.1145/3447555.3466599
https://doi.org/10.1145/3447555.3466599
Autor:
Chris R. Johnson, Tushar M. Athawale
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:1163-1172
We present a framework for the analysis of uncertainty in isocontour extraction. The marching squares (MS) algorithm for isocontour reconstruction generates a linear topology that is consistent with hyperbolic curves of a piecewise bilinear interpola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b82b63269867ecb747aa95534dd71f
https://doi.org/10.1109/tvcg.2018.2864505
https://doi.org/10.1109/tvcg.2018.2864505
We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art statistical DVR framework allows for preserving the transfer function (TF) o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc23494fc54892e72df76e67fc17717b
Publikováno v:
VAHC
Deep brain stimulation (DBS) is an FDA-approved neurosurgical procedure for treating patients with movement disorders such as Parkinson’s disease. Patient-specific computational modeling and visualization play a key role for efficient surgical and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8972df57764f6062c016830dad5718d3
https://doi.org/10.1109/vahc47919.2019.8945037
https://doi.org/10.1109/vahc47919.2019.8945037