EDBT 2026 Demo / reviewers in the wild / expert
Sho Shimamura
dblp:139/8461
· DBLP profile ↗
5ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 3 · 1 first-authorArtificial intelligence and machine learning · 1Theory of computation · 1 · 1 first-authorApplied, 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.
| Computer graphics and multimedia
2 papers |
Virtual and augmented reality · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Medical and health informatics · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
augmented reality |
0.3 | 2 | 2015 | MRI overlay system using optical see-through for marking assistance · VR 2015 Registration and projection method of tumor region projection for breast cancer surgery · VR 2015 |
Medical and health informatics
surgical assistance |
0.2 | 1 | 2015 | Registration and projection method of tumor region projection for breast cancer surgery · VR 2015 |
Virtual and augmented reality › augmented reality
medical augmented reality |
0.1 | 1 | 2015 | Registration and projection method of tumor region projection for breast cancer surgery · VR 2015 |
Methods — techniques the papers use, named apart from their topics
transformation matrix estimation · 0.4optical see-through · 0.4optical marker tracking · 0.4MRI registration · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Introducing Fluctuation into Increasing Order of Symmetric Uncertainty for Consistency-Based Feature Selection
Sho Shimamura, Kouichi Hirata |
TAMC | 1 |
| 2017 | Extracting Mutually Dependent Multisets
Natsuki Kiyota, Sho Shimamura, Kouichi Hirata |
DS | 2 |
| 2015 | Registration and projection method of tumor region projection for breast cancer surgeryabstractThis paper introduces a registration and projection method for directly projecting the tumor region for breast cancer surgery assistance based on the breast procedure of our collaborating doctor. We investigated the steps of the breast cancer procedure of our collaborating doctor and how it can be applied for tumor region projection. We propose a novel way of MRI acquisition so we may correlate the MRI coordinates to the patient in the real world. By calculating the transformation matrix from the MRI coordinates and the coordinates from the markers that is on the patient, we are able to register the acquired MRI data to the patient. Our registration and presentation method of the tumor region was then evaluated by medical doctors. Motoko Kanegae, Jun Morita, Sho Shimamura, Yuji Uema, Maiko Takahashi, Masahiko Inami, Tetsu Hayashida, Maki Sugimoto |
VR | 3 |
| 2015 | MRI overlay system using optical see-through for marking assistanceabstractIn this paper we propose an augmented reality system that superimposes MRI onto the patient model. We use a half-silvered mirror and a handheld device to superimpose the MRI onto the patient model. By tracking the coordinates of the patient model and the handheld device using optical markers, we are able to transform the images to the correlated position. Voxel data of the MRI are made so that the user is able to view the MRI from many different angles. Jun Morita, Sho Shimamura, Motoko Kanegae, Yuji Uema, Maiko Takahashi, Masahiko Inami, Tetsu Hayashida, Maki Sugimoto |
VR | 2 |
| 2013 | Virtual Slicer: Development of Interactive Visualizer for Tomographic Medical Images Based on Position and Orientation of Handheld DeviceabstractThis paper proposes an interface that helps understanding the correspondence between the patient and medical images. In our proposed method, we have developed an interactive visualizer for tomographic images based on the relative position and orientation of the handheld device and the patient. Sho Shimamura, Motoko Kanegae, Yuji Uema, Masahiko Inami, Tetsu Hayashida, Hideo Saito 0001, Maki Sugimoto |
CW | 1 |