Demo Data from VLDB 2026 / reviewers in the wild / expert
Tianwu Xie
dblp:202/3497
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 87% Computational science and engineering · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
computational phantoms |
0.1 | 1 | 2009 | Development of a Rat Computational Phantom Using Boundary Representation Method for Monte Carlo Simulation in Radiological Imaging · Proc. IEEE 2009 |
Medical and health informatics
radiation dosimetry |
0.1 | 1 | 2009 | Development of a Rat Computational Phantom Using Boundary Representation Method for Monte Carlo Simulation in Radiological Imaging · Proc. IEEE 2009 |
Computational science and engineering › numerical simulation
monte carlo simulation |
0.0 | 1 | 2009 | Development of a Rat Computational Phantom Using Boundary Representation Method for Monte Carlo Simulation in Radiological Imaging · Proc. IEEE 2009 |
Methods — techniques the papers use, named apart from their topics
segmentation · 0.1boundary representation · 0.1NURBS · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Development of a Rat Computational Phantom Using Boundary Representation Method for Monte Carlo Simulation in Radiological ImagingabstractComputational models for small experimental animals are important in medical imaging and radiation dosimetry researches. The boundary representation method by use of nonuniform rational B-splines (NURBS) is adopted in this paper to develop a rat computational phantom based on the previously obtained segmentation data for cryosectional color photographic images of an adult male Sprague-Dawley rat. Continuous two-dimensional contours for a total of 14 major structures were outlined from the downscaled anatomical atlas, corresponding to a voxel size of 0.2 times 0.2 times 0.2 mm3and stacked to reconstruct the three-dimensional (3-D) shapes. The NURBS model was then appropriately fitted through the surface of each organ. Monte Carlo simulation of cone beam X-ray computed tomography was performed focusing on the thorax region to demonstrate the usefulness of the computational phantom in radiological imaging. The integrated whole-body geometry is presented with smooth internal and exterior boundaries. Organ centroid coordinates and volume information are tabulated for future comparison purposes. The rat phantom can be used in 3-D dose calculation and other computational applications as well. Guozhi Zhang 0003, Tianwu Xie, Hilde Bosmans, Qian Liu 0003 |
Proc. IEEE | 2 |