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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 219  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2021-06-08
15:45
Online Online A Case for FPGA Implementation of Deep Neural Network Based 2D Point Cloud Registration
Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) RECONF2021-5
(To be available after the conference date) [more] RECONF2021-5
pp.20-25
MI 2021-03-16
14:00
Online Online Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] MI2020-74
pp.112-117
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
NS, ICM, CQ, NV
(Joint)
2020-11-26
10:20
Online Online Evaluation of Auto-registration Method of Service Information by Cooperation between Deployment System and Maintenance System
Ryota Katayanagi, Kensuke Takahashi, Satoshi Kondoh (NTT) ICM2020-20
In this paper, an auto-registration method of service information by cooperation between a deployment system and a maint... [more] ICM2020-20
pp.13-18
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-28
12:40
Online Online [Special Talk] Generalization of coherent point drift and its acceleration
Osamu Hirose (Kanazawa Univ.) SIP2020-1 BioX2020-1 IE2020-1 MI2020-1
Point set registration is to find point-to-point correspondences between point sets, each of which represents the shape ... [more] SIP2020-1 BioX2020-1 IE2020-1 MI2020-1
pp.1-3
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)
MI 2020-01-30
15:00
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] 3D Brain Atlas Construction from Single Japanese Cadaver Brain
Yota Noda, Ken'ichi Morooka (Kyushu Univ.), Yasushi Miyagi (Fukuoka Mirai Hospital), Takaichi Fukuda (Kumamoto Univ.), Shoko Miyauchi, Ryo Kurazume (Kyushu Univ.) MI2019-119
We have been constructing the 3D brain atlas from a single Japanese cadaver brain. In constructing the atlas, a 3D digit... [more] MI2019-119
pp.231-234
MI 2020-01-30
15:40
Okinawa OKINAWAKEN SEINENKAIKAN Study on non-rigid registration of clinical chest CT volumes and micro CT volumes of excised lung specimen
Shinya Hatakoshi, Hirohisa Oda, Yuichiro Hayashi, Holger R. Roth, Shouta Nakamura, Masahiro Oda (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MI2019-123
(To be available after the conference date) [more] MI2019-123
pp.249-254
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-23
10:20
Kochi Kochi University of Technology Development of 2,400ppi fingerprint sensor for capturing neonate fingerprint within 24 hours after Birth
Yoshinori Koda, Ai Takahashi, Koichi Ito, Takafumi Aoki (Tohoku Univ.) ISEC2019-18 SITE2019-12 BioX2019-10 HWS2019-13 ICSS2019-16 EMM2019-21
United Nations adopted the resolution “Sustainable Development Goals (SDGs),” and one of the action plans is listed at “... [more] ISEC2019-18 SITE2019-12 BioX2019-10 HWS2019-13 ICSS2019-16 EMM2019-21
pp.81-85
SIP, MI, IE 2019-05-24
14:00
Aichi   Analysis of deaeration deformation for ex vivo animal lung
Kotaro Kobayashi, Megumi Nakao, Junko Tokuno, Toyofumi F. Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda (Kyoto Univ.) SIP2019-12 IE2019-12 MI2019-12
Recent advance of imaging techniques enables to visualize minute lung nodules in the early stage cancer. Although lung n... [more] SIP2019-12 IE2019-12 MI2019-12
pp.53-58
ISEC 2019-05-17
15:20
Tokyo Kikai-Shinko-Kaikan Bldg. A secure method of provisioning IoT devices with few operations
Dai Yamamoto, Hirotaka Kokubo, Takanori Machida, Ikuya Morikawa (FUJITSU LABORATORIES LTD.), Akira Kanaoka (Toho Univ.) ISEC2019-8
Recently, most IoT devices have been connected to cloud servers, which provide users with useful services such as remote... [more] ISEC2019-8
pp.37-44
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
MI 2019-01-22
15:20
Okinawa   A Study on Automated Lymph Node Matching Method Considering Abdominal Organs Deformation in Follow-up CT Volumes
Tachi Koki, Masahiro Oda, Yuichiro Hayashi, Hayato Itoh (Nagoya Univ.), Yoshihiko Nakamura (TNT), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2018-84
In this paper, we report on an automated lymph node matching method considering deformation of abdominal organs in follo... [more] MI2018-84
pp.97-102
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
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
17:15
Osaka   Markerless Dynamic Projection Mapping using High-speed 6-DoF Tracking
Satoshi Tabata, Hikaru Amano, Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) PRMU2017-130 MVE2017-51
In recent years, various dynamic projection mapping have been achieved.
However, in order to acquire the absolute posi... [more]
PRMU2017-130 MVE2017-51
pp.147-152
MI, MICT 2017-11-06
10:00
Kagawa Sunport Hall Takamatsu Automated Initialization of 2D-3D Registration of Rib Cage from Chest Radiography using Convolutional Neural Network
Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka, Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MICT2017-27 MI2017-49
The difficulties in automation of 2D-3D registration are two-folds: initialization and failure detection. In this paper,... [more] MICT2017-27 MI2017-49
pp.5-8
MI, MICT 2017-11-06
15:10
Kagawa Sunport Hall Takamatsu Reconstruction of dynamic-3D ultrasound image with mechanical linear guide for muscle function analysis -- Validation of slice-to-volume registration --
Tokumi Sano, Norio Fukuda, Yoshito Otake (NAIST), Shingo Abe, Shoji Konda (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2017-37 MI2017-59
Analysis of three-dimensional structure of muscles and its movement is important for sports science and rehabilitation. ... [more] MICT2017-37 MI2017-59
pp.53-57
 Results 1 - 20 of 219  /  [Next]  
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