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 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
15:05
Online Online Mode diffusion technique for reduction of crosstalk in volume holographic mode demultiplexer
Shuanglu Zhang, Atsushi Okamoto, Akihisa Tomita (Hokkaido Univ.)
Volume holographic demultiplexers (VHDMs) utilize angularly multiplexed volume holograms to separate multiplexed spatial... [more]
PN, MWP, EMT, PEM, IEE-EMT [detail] 2022-01-28
15:05
Online Online Estimation of refractive-index distribution under dielectric rough surface from the scattered far field using coupling analysis with volume and boundary elements
Jun-ichiro Sugisaka, Kenji Harada, Koichi Hirayama (Kitami Inst. Tech.) PN2021-47 EMT2021-63 MWP2021-52
Reconstruction of the defect shape under a rough dielectric surface from the scattered wave can be applied to detect a b... [more] PN2021-47 EMT2021-63 MWP2021-52
pp.79-84
OME 2021-12-24
13:55
Online Online [Invited Talk] Volume holographic reconstruction with a broadband spectral light source
Ryushi Fujimura (Utsunomiya Univ.) OME2021-28
Polychromatic reconstruction is a novel holographic reconstruction method that utilizes a spectrally-broad but spatially... [more] OME2021-28
pp.11-14
MI 2021-08-27
14:10
Online Online A Study of a Pose Estimation Method of Ultrasound Probe Using RNN
Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) MI2021-22
In this paper, we propose an ultrasound (US) probe pose estimation method using deep learning for 3D US image reconstruc... [more] MI2021-22
pp.2-7
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-28
14:00
Online Online A Study of 3D Ultrasound Volume Reconstruction based on Ultrasound Probe Localization Using Deep Learning
Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) SIP2020-3 BioX2020-3 IE2020-3 MI2020-3
This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning.
T... [more]
SIP2020-3 BioX2020-3 IE2020-3 MI2020-3
pp.9-14
ICTSSL 2019-07-16
15:50
Aomori Aomori Tourist Information Center, ASPAM Analysis of Earthquake Disaster Relief Certificate Issuance using the Management Tool for the Life Reconstruction Support
Keiko Tamura (Niigata Univ.), Munenari Inoguchi (Univ. of Toyama), Kei Horie (InterRisk Research & Consulting) ICTSSL2019-10
Once a disaster occurs, survivors need to rebuild their lives. In the emergency period, the support programs repairing t... [more] ICTSSL2019-10
p.11
ICTSSL, CAS 2018-01-26
14:35
Tokyo Kikai-Shinko-Kaikan Bldg. Development of Prototype Tool for Workload Simulation Relating to Victims' Live Support -- Case Studies of 2007 Chuetsu-oki Earthquake and 2016 Kumamoto Earthquake --
Munenari Inoguchi (Shizuoka Univ.), Keiko Tamura (Niigata Univ.), Keisuke Shimizu (Shizuoka Univ.) CAS2017-130 ICTSSL2017-57
After disaster occurs, survivors should rebuild their lives, and local responders have to provide many kinds of relief p... [more] CAS2017-130 ICTSSL2017-57
pp.103-106
ICTSSL, IN
(Joint)
2017-10-10
13:25
Shizuoka   Basic Analysis of Work Volume Relating with Survivors' Life Reconstruction -- A Case Study of 2016 Kumamoto Earthquake --
Keisuke Shimizu, Munenari Inoguchi (Shizuoka Univ.), Keiko Tamura (Niigata Univ.) ICTSSL2017-30
we faced to many kinds of natural disasters in Japan. Once disaster occurs, local governments have to start to support f... [more] ICTSSL2017-30
pp.5-10
MI 2017-01-18
15:24
Okinawa Tenbusu Naha
Rie Oyama, Chizuko Isyrygi, Hideyuki Senda, Yuri Sasaki, Gen Haba, Tomonobu Kanasugi, Akihiko Kikuchi, Toru Sugiyama (IMU), Sonia Pujol (HMS) MI2016-115
Introduction: Recently, there has been a growing interest among scientists in the mechanism of developmental the fetal b... [more] MI2016-115
pp.171-176
PRMU, HIP 2012-03-30
10:00
Hyogo   Performance Capture System using Zoom-in Pan-Tile Cameras for High-fidelity 3D Videos
Shigenobu Fujine, Norimichi Ukita, Norihiro Hagita (NAIST) PRMU2011-266 HIP2011-94
For capturing high-resolution images of a moving target for improving the quality of its 3D video, we propose a system w... [more] PRMU2011-266 HIP2011-94
pp.165-170
MI 2011-09-06
11:35
Ibaraki AIST Reconstruction of brain PET/SPECT images using MRI information
Hirotaka Oomori, Hayato Nomura, Hiroyuki Kudo (Univ of Tsukuba) MI2011-53
In previous image reconstruction, MAP reconstruction methods typically incorporate the spatial smoothness of the radionu... [more] MI2011-53
pp.33-37
MI 2009-01-21
09:50
Overseas National Taiwan University [Poster Presentation] An Ear Ossicle Surgery Simulator Based on Transversal CT slices
Ming-Dar Tsai (Chung Yuan Christian Univ.), Ming-Shium Hsieh (Taipei Medical Univ.), Fei-Peng Lee (Taipei Medical Univ. - Shuang Ho Hospital) MI2008-192
This paper describes a virtual reality simulator for middle ear ossicle surgery. A segmentation method is developed to r... [more] MI2008-192
pp.605-610
NC, MBE
(Joint)
2008-03-13
14:10
Tokyo Tamagawa Univ Ultrasonic Image Synthesis Based on View-dependent Model for Diagnostic Training System
Takeshi Minooka, Sei Ikeda, Masataka Imura (NAIST), Yoshihiro Yasumuro (Kansai Univ.), Yoshitsugu Manabe, Kunihiro Chihara (NAIST) MBE2007-115
Ultrasonic diagnosis requires substantial experiences for both acquiring and reading echography. This paper proposes a n... [more] MBE2007-115
pp.41-44
CQ, MVE 2005-01-27
13:00
Aichi Nagoya Institute of Technology Interactive 3-D Modeling System Using a Hand-held Video Camera
Kenji Fudono, Tomokazu Sato, Naokazu Yokoya (NAIST)
Recently, a number of methods for 3-D modeling from images have been developed.
However, the accuracy of a reconstructe... [more]
CQ2004-114 MVE2004-54
pp.1-6
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