Demo Data from SIGIR 2026 / reviewers in the wild / expert
Motoko Kanegae
dblp:139/8648
· DBLP profile ↗
4ranked-venue papers
1as 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 · 4 · 1 first-authorHuman-computer interaction and ubiquitous computing · 4 · 1 first-author
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.
| Human-computer interaction and pervasive computing
1 paper |
Learning and educational technologies · 87% Interaction techniques and input · 13% | |
| 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 6 heaviest of 7, 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 |
Learning and educational technologies › medical education
anatomy education |
0.2 | 1 | 2014 | An AR edutainment system supporting bone anatomy learning · VR 2014 |
Learning and educational technologies › immersive learning
augmented reality learning |
0.2 | 1 | 2014 | An AR edutainment system supporting bone anatomy learning · VR 2014 |
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 |
Interaction techniques and input
gesture input |
0.1 | 1 | 2014 | An AR edutainment system supporting bone anatomy learning · VR 2014 |
Methods — techniques the papers use, named apart from their topics
transformation matrix estimation · 0.4optical see-through · 0.4optical marker tracking · 0.4MRI registration · 0.4augmented reality visualization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 | 1 |
| 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 | 3 |
| 2014 | An AR edutainment system supporting bone anatomy learningabstractWe present a medical Augmented Reality (AR) edutainment system for bone anatomy learning. This learning environment, called AR bone puzzle, is a metaphor for bone anatomy learning with AR visualization and intuitive interaction. AR bone puzzle uses its user's body as a puzzle frame and computer generated virtual bones as puzzle pieces. Users learn bone anatomy by assembling the virtual bone pieces on their body. Key features of this system are 3D AR visualization and intuitive gesture based user interaction. Philipp Stefan, Patrick Wucherer, Yuji Oyamada, Alexander Schoch, Motoko Kanegae, Naoki Shimizu, Tatsuya Kodera, Sebastien Cahier, Matthias Weigl, Maki Sugimoto, Pascal Fallavollita, Hideo Saito 0001, Nassir Navab |
VR | 6 |
| 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 | 2 |