Demo Data from VLDB 2026 / reviewers in the wild / expert
Dong Sun Shin
dblp:22/1331
· 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 · 70% Bioinformatics and computational biology · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics › neuroimaging
brain imaging |
0.1 | 1 | 2009 | Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009 |
Medical and health informatics
medical imaging |
0.1 | 1 | 2009 | Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009 |
Bioinformatics and computational biology › neuroscience
neuroanatomy |
0.1 | 1 | 2009 | Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009 |
Medical and health informatics › medical imaging › medical image analysis
medical image segmentation |
0.0 | 1 | 2009 | Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009 |
Methods — techniques the papers use, named apart from their topics
volume reconstruction · 0.1ultrahigh-field MRI · 0.1serial sectioning · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIsabstractUnlike computed tomographic images and magnetic resonance images (MRIs), sectioned images of the human body with real color and high resolution have certain advantages in learning and teaching anatomy. Comparisons between sectioned images of the brain and MRIs are useful in many ways. Therefore, we prepared 312 MRIs at ultrahigh field 7.0 T (axial direction 0.4 times 0.4 times 0.4 mm3voxel size) of a cadaver brain, 2343 sectioned images (axial direction, 0.1 mm intervals, 0.1 times 0.1 mm2pixel size, and 48 bits color) by serial-sectioning the cadaver head, 234 segmented images in which brain regions were separately delineated (1 mm intervals and 0.1 times 0.1 mm2pixel size) by outlining 64 head structures in sectioned images. Three-dimensional images of 64 head structures were made by volume reconstruction from sectioned images. In this research, advanced techniques and equipment enabled us to prepare quality 7.0-T MRIs, sectioned images, and segmented images of the head. These images are expected to contribute to our understanding of the topographic neuroanatomy of the head and to aid interpretations of MRIs and CTs of the human brain. Jin Seo Park, Min Suk Chung, Dong Sun Shin, Dong-Hwan Har, Zang-Hee Cho, Young-Bo Kim, Jae-Yong Han, Je-Geun Chi |
Proc. IEEE | 3 |