Demo Data from VLDB 2026 / reviewers in the wild / expert
Maiko Takahashi
dblp:27/11242
· DBLP profile ↗
7ranked-venue papers
5as first author
2since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 5 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 5 · 5 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2Human-computer interaction and ubiquitous computing · 2
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 |
|---|---|---|---|
| 2023 | What is a Textbook Layout that Everyone Understands? : Towards a Comprehensive Understanding of Text and Supplementary Information
Maiko Takahashi, Takeo Kondo |
CogSci | 1 |
| 2022 | How can visual perception of numbers affect computational fluency?
Maiko Takahashi, Souko Inoue |
CogSci | 1 |
| 2020 | How Can We Access Children' Basic Academic Skills? The Possibility of "Corrected Academic Skills" via an Alternative Approach
Maiko Takahashi, Rumi Hirabayashi, Kenryu Nakamura |
CogSci | 1 |
| 2019 | What Factors of Background Music Disrupt Task Performance? Influence of Types of Sound, Tasks, and Working Memory Capacity on Irrelevant Sound/Speech Effect
Maiko Takahashi, Mika Ishikawa, Sachiko Kiyokawa |
CogSci | 1 |
| 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 | 5 |
| 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 | 5 |
| 2012 | Cognitive process of the children with reading difficulties: Analysis of the reading patterns with customizable digital reading software
Maiko Takahashi, Mamoru Iwabuchi, Kenryu Nakamura |
CogSci | 1 |