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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 117  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-07-03
13:00
Miyagi Tohoku Univ. Sakura Hall [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
(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
(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. [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
(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 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 [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 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 [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 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
(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 [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) [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   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   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   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 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. 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
MBE, NC
(Joint)
2017-05-26
15:45
Toyama Toyama Prefectural Univ. A 2D/3D registration method developed for superposing an MRI-reconstructed bone model on a set of bi-directional CR images
Takuya Kaneta, Toyohiko Hayashi (Niigata Univ.), Satoshi Watanabe (Niigata Medical Center), Yoshio Koga (Ninohji hot), Go Omori (Niigata Univ. of Health and Welfare) MBE2017-8
The lower extremity alignment of the lower extremity in the standing position has been evaluated by computed radiography... [more] MBE2017-8
pp.39-44
PRMU, IE, MI, SIP 2016-05-20
15:40
Aichi   Highly Accurate Reconstruction of Microscope 3D images based on Micro Anatomic Structures
Hirokazu Kobayashi, Hidekata Hontani (NIT) SIP2016-29 IE2016-29 PRMU2016-29 MI2016-29
The objective of this research is to develop a method for accurately
registering 2D microscope images of spatially succ... [more]
SIP2016-29 IE2016-29 PRMU2016-29 MI2016-29
pp.153-156
 Results 1 - 20 of 117  /  [Next]  
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