Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SS |
2025-03-11 14:20 |
Kagoshima |
(Kagoshima) |
Proposal for a Lost-and-Found Service for the Elderly Using Image Recognition and Spoken Dialogue Takashi Kamiya, Hiro Okamoto, Takuya Nakata, Akinori Matsukawa, Sinan Chen, Kiyoshi Yasuda, Masahide Nakamura (Kobe Univ.) |
(To be available after the conference date) [more] |
|
SRW, SeMI (Joint) |
2024-11-29 13:25 |
Tokyo |
Tokyo Univ. of Science Katsushika Campus (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Blockchain system with adaptive hash aggregation to handle fluctuating registration times in multi-LiDAR sensor network Kensei Hirai, Kuon Akiyama, Ryoichi Shinkuma, Gabriele Trovato (SIT) SRW2024-43 SeMI2024-55 |
As urbanization and technological innovation progress, building sustainable smart cities is becoming crucial. The use of... [more] |
SRW2024-43 SeMI2024-55 pp.72-75 |
MI |
2023-07-03 13:00 |
Miyagi |
Tohoku Univ. Sakura Hall (Miyagi) |
[Special Talk]
Transition of Medical Imaging Koichi Ito (Tohoku Univ.) MI2023-10 |
Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction u... [more] |
MI2023-10 p.11 |
MI |
2023-03-06 09:18 |
Okinawa |
OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73 |
The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which ... [more] |
MI2022-73 pp.3-4 |
IN, NS (Joint) |
2023-03-02 15:20 |
Okinawa |
Okinawa Convention Centre + Online (Okinawa, Online) (Primary: On-site, Secondary: Online) |
High-presence communication through Local 5G ultra-low latency transmission of RGBD images Ryota Takatsuki, Akihiro Nakao (Tokyo Univ.) NS2022-194 |
In recent years, the spread of international collaboration and the physical limitations imposed by the new coronavirus p... [more] |
NS2022-194 pp.157-162 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 13:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
[Short Paper]
A Study of Image Captioning for Trademark Search Yuri Uehara, Yasufumi Katsura (NTT DATA) ITS2022-47 IE2022-64 |
As one of the trademark registration examinations, similarity to existing registered trademarks is examined. The examina... [more] |
ITS2022-47 IE2022-64 pp.26-28 |
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] |
2022-05-20 17:00 |
Kumamoto |
Kumamoto University Kurokami Campus (Kumamoto, Online) (Primary: On-site, Secondary: Online) |
Deformable registration of 3D medical images with Deep Residual UNet Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30 |
(To be available after the conference date) [more] |
SIP2022-30 BioX2022-30 IE2022-30 MI2022-30 pp.156-160 |
MI |
2022-01-26 13:39 |
Online |
Online (Online) |
Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62 |
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] |
MI2021-62 pp.70-75 |
MI |
2022-01-26 14:05 |
Online |
Online (Online) |
[Short Paper]
Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64 |
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] |
MI2021-64 pp.82-85 |
MI |
2021-03-16 16:15 |
Online |
Online (Online) |
Pre-operative Head CT and Pathological Image Registration using Normalized Cross-Correlation and Dice coefficient Yukinobu Matsuoka, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ. Hospital), Tetsushi Wakabayashi (Mie Univ.) MI2020-81 |
The radiation therapy to oral cancer sometimes causes the osteoradionecrosis of jaws which is know as a refractory disea... [more] |
MI2020-81 pp.144-149 |
MI |
2021-03-17 10:45 |
Online |
Online (Online) |
[Short Paper]
Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90 |
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] |
MI2020-90 pp.182-185 |
LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] |
2020-09-01 17:20 |
Online |
Online (Online) |
Study on automatic label masking method for plant specimen images using CTPN Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2020-8 IE2020-20 EMM2020-32 |
In this study, the image processing required for registration of the Haginiwa plant specimen image database in c-arc. Si... [more] |
LOIS2020-8 IE2020-20 EMM2020-32 pp.19-24 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 17:05 |
Fukuoka |
Kyushu Institute of Technology (Fukuoka) (Cancelled but technical report was issued) |
[Invited Talk]
Image Registration Method for Comparative Reading Hyoungseop Kim, Huimin Lu (KIT), Takatoshi Aoki (UOEH), Shoji Kido (Osaka Univ) IMQ2019-28 CQ2019-134 IE2019-110 MVE2019-49 |
Image registration techniques are used not only medical fields but also in various fields such as positioning problems o... [more] |
IMQ2019-28 CQ2019-134 IE2019-110 MVE2019-49 pp.69-72(IMQ), pp.1-4(CQ), pp.69-72(IE), pp.69-72(MVE) |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 17:10 |
Kagoshima |
Kagoshima University (Kagoshima) |
[Invited Talk]
Pattern Optimization Using Evolutionary Computation Satoshi Ono (Kagoshima Univ.) IMQ2018-51 IE2018-135 MVE2018-82 |
This study focuses Evolutionary Computation (EC) that is a black-box optimization framework for non-differentiable, glob... [more] |
IMQ2018-51 IE2018-135 MVE2018-82 pp.165-171 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) (Hokkaido) |
[Poster Presentation]
Development of the topology-preserving image alignment based on a local deformation of kernel density function Masataka Watajima (KIT), Sayuri Kuge, Takeshi Ishihara (KU), Yuichi Iino (UT), Ryo Yoshida (ISM), Terumasa Tokunaga (KIT) IBISML2018-55 |
Image alignment or image registration is a process for aligning two or more images into a common coordinate system. Many... [more] |
IBISML2018-55 pp.83-90 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 13:50 |
Fukuoka |
(Fukuoka) |
Multi-modal image registration based on local mutual information Hiroaki Tani, Toshikazu Wada (Wakayama Univ) PRMU2018-65 IBISML2018-42 |
In recent years, various types of images having different modality from visible-light images, such as infrared images, d... [more] |
PRMU2018-65 IBISML2018-42 pp.207-212 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:05 |
Okinawa |
(Okinawa) |
A preliminary study on unsupervised registration with deep learning Kai Nagara, Holger R. Roth, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2017-65 |
Registration is one of the important processes in medical image processing. Many researchers have proposed methods for r... [more] |
MI2017-65 pp.7-12 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:20 |
Okinawa |
(Okinawa) |
Automatic extraction of ultrasonic measurement area from pathological image for registration with ultrasonic image Maho Funato, Takashi Ohnishi, Shu Kashio, Kazuyo Ito, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2017-66 |
We have been developing the registration between the pathological image and ultrasonic image by a scanning acoustic micr... [more] |
MI2017-66 pp.13-16 |
MBE, BioX |
2017-07-29 13:25 |
Tokushima |
Tokushima University (Tokushima) |
Personal Authentication Using Iris Images Captured Under Visible Light Condition Kouki Hongo, Hironobu Takano, Kiyomi Nakamura (Toyama Prefectural Univ.) BioX2017-16 MBE2017-25 |
In this study, we proposed the personal authentication method using an iris image captured under the visible light envir... [more] |
BioX2017-16 MBE2017-25 pp.37-41 |
MI |
2017-07-06 16:15 |
Miyagi |
Tohoku Univ. (Miyagi) |
An Automated Method for Generating Training Data for Image Registration Using Deep Learning Masato Ito, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) MI2017-28 |
In this paper, we propose an automated method for generating training data that realizes image registration with deep le... [more] |
MI2017-28 pp.11-16 |