Demo Data from VLDB 2026 / reviewers in the wild / expert
Keiho Imanishi
dblp:66/10940
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous 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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › navigation
surgical navigation |
0.2 | 1 | 2015 | Endoscopic Image Augmentation Reflecting Shape Changes in Cutting Procedures · ISMAR 2015 |
Medical and health informatics
computer-assisted surgery |
0.1 | 1 | 2015 | Endoscopic Image Augmentation Reflecting Shape Changes in Cutting Procedures · ISMAR 2015 |
Methods — techniques the papers use, named apart from their topics
volume labeling · 0.4real-time overlay · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Endoscopic Image Augmentation Reflecting Shape Changes in Cutting ProceduresabstractThis paper introduces a concept of endoscopic image augmentation that overlays shape changes to support cutting procedures. This framework handles the history of measured drill tip's location as a volume label, and visualizes the remains to be cut overlaid on the endoscopic image in real time. We performed a cutting experiment, and the efficacy of the cutting aid was evaluated among shape similarity, total moved distance of a cutting tool, and the required cutting time. The results of the experiments showed that cutting performance was significantly improved by the proposed framework. Megumi Nakao, Shota Endo, Keiho Imanishi, Tetsuya Matsuda |
ISMAR | 3 |