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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 178 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
16:20
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis
Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-28 BioX2022-28 IE2022-28 MI2022-28
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] SIP2022-28 BioX2022-28 IE2022-28 MI2022-28
pp.144-149
AP 2022-03-11
09:55
Online Online Synthetic Aperture Radar Imaging with Uneven Spatial Sampling
Takuma Watanabe (FSI), Hiroyoshi Yamada (Niigata Univ.) AP2021-194
Radar sensing has been widely used in consumer applications, an example of which is an automotive radar for collision av... [more] AP2021-194
pp.67-72
MBE, NC
(Joint)
2022-03-02
16:10
Online Online XMCD-CT Reconstruction Using Compressed Sensing
Tsukito Takizawa, Hayaru Shouno (The Univ. of Electro-Communications), Masaichiro Mizumaki (JASRI), Motohiro Suzuki (Kwansei Gakuin Univ.) NC2021-58
Observation of the magnetic domain structure is important for understanding the magnetic properties of materials includi... [more] NC2021-58
pp.62-67
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
11:30
Online Online ITS2021-28 IE2021-37 The dynamic range of electronic imaging is orders of magnitudes smaller than that of human vision. To obtain images of h... [more] ITS2021-28 IE2021-37
pp.19-24
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 2022-01-27
14:30
Online Online Reducing the number of projections in 3-D Compton Camera using EM-TV based image reconstruction
Tomohiro Ono (Hirosaki Univ.), Yuto Nagao, Mitsutaka Yamaguchi, Naoki Kawachi (QST), Tsutomu Zeniya (Hirosaki Univ.) MI2021-80
It is desired to develop a Compton camera, which has been used for gamma ray detection in space and the environment, as ... [more] MI2021-80
pp.150-155
PRMU 2021-12-17
10:30
Online Online Data Augmentation to Robust Deep Learning-Based Lesion Classification for CT Image with Different Imaging Conditions
Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba (FUJITSU), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Masahiko Shimada (Fujitsu Japan) PRMU2021-48
In this paper, we propose a data augmentation to robust DL (deep learning)-based lesion classification for CT image with... [more] PRMU2021-48
pp.130-135
SANE 2021-12-16
14:35
Chiba Chiba University
(Primary: On-site, Secondary: Online)
Scattering Cross-Section Synthesis for Multiple Targets Based on Radar Image
Takuma Watanabe (Fujitsu), Hiroyoshi Yamada (Niigata Univ.) SANE2021-75
In this study, we propose a radar cross-section (RCS) prediction method for a cluster of multiple targets that combines ... [more] SANE2021-75
pp.69-74
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2021-11-25
10:25
Online Online wganBCS: Block-wise image compressive sensing and reconstruction model using adversarial training to eliminate block effects
Boyan Chen (Hosei Univ./NPU), Kaoru Uchida (Hosei Univ.) CS2021-60 IE2021-19
The famous block-wise compressive sensing (BCS) paradigm can greatly reduce the memory consumption of sensing
matrix co... [more]
CS2021-60 IE2021-19
pp.1-6
EMM, EA, ASJ-H 2021-11-15
13:30
Online Online [Poster Presentation] Improving a tracking accuracy using Artificial Fiber Patterns by introducing Wrinkle on clothes and body shape determination
Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS) EA2021-38 EMM2021-65
Due to the low cost of equipment, the number of surveillance cameras installed has increased significantly in recent yea... [more] EA2021-38 EMM2021-65
pp.63-68
EID, ITE-3DMT, ITE-IDY, IEE-OQD, SID-JC [detail] 2021-11-12
14:40
Online Online A transparent camera overlaying a display surface using holographic waveguide device
Masahiro Yamaguchi, Noriyuki Tagami, Xiao Chen, Tomoya Nakamura, Saori Takeyama (Tokyo Tech) EID2021-3
We propose an imaging system that can capture frontal images of objects in front of a display by attaching a holographic... [more] EID2021-3
pp.6-9
MI, MICT [detail] 2021-11-05
11:05
Online Online [Short Paper] Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer
Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31
In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose... [more] MICT2021-33 MI2021-31
pp.26-27
MI 2021-03-15
14:30
Online Online Comparison of Deep Learning Reconstruction for MR Compressed Sensing
Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-56
The theory of compressed sensing (CS) has been introduced to MRI to reduce the scan time. However, CS reconstruction int... [more] MI2020-56
pp.41-45
MI 2021-03-17
13:15
Online Online Applications of hybrid reconstruction combining PET and Compton imaging
Hideaki Tashima, Eiji Yoshida (NIRS-QST), Takumi Nishina (Chiba Univ.), Sodai Takyu, Fumihiko Nishikido (NIRS-QST), Mikio Suga (Chiba Univ.), Hidekatsu Wakizaka, Miwako Takahashi, Kotaro Nagatsu, Atsushi Tsuji (NIRS-QST), Kei Kamada, Akira Yoshikawa (C&A/Tohoku Univ.), Katia Parodi (LMU), Taiga Yamaya (NIRS-QST) MI2020-94
We have been developing WGI enabling simultaneous measurement of PET and Compton imaging. This study developed a hybrid ... [more] MI2020-94
pp.203-206
PRMU, IPSJ-CVIM 2021-03-04
16:05
Online Online Media detection from cardiovascular OCT images based on deep learning
jiwei zhang, kai wang (wakayama univ), Takashi Kubo (Wakayama Medical Univ), haiyuan wu (wakayama univ) PRMU2020-80
Medical image segmentation is an important issue in determining whether medical images can provide reliable evidence in ... [more] PRMU2020-80
pp.65-70
ICSS, IPSJ-SPT 2021-03-01
09:35
Online Online A Method for Reconstructing Hidden Background Image in Tele-conference with Virtual Background
Satoki Tsuji, Ryusei Ishikawa (Ritsumeikan Univ.), Masashi Eto (NICT), Yuichi Hattori (Secure Cycle Inc.), Hiroyuki Inoue (Hiroshima City Univ.) ICSS2020-35
Interpersonal communications through video chat software has become essential since a remote work is now encouraged. Whe... [more] ICSS2020-35
pp.55-60
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
16:40
Online Online Image Reconstruction Technique using Object's Motion for Single Photon Imaging
Kiyotaka Iwabuchi, Yusuke Kameda, Takayuki Hamamoto (TUS) ITS2020-33 IE2020-47
The single-photon imaging that enables high-quality imaging even in a low incident light level environment, records inci... [more] ITS2020-33 IE2020-47
pp.37-42
PRMU 2020-12-18
15:10
Online Online A Hybrid Sampling Strategy for Improving the Accuracy of Image Classification with less Data
Ruiyun Zhu, Fumihiko Ino (Osaka Univ.) PRMU2020-62
This paper proposes a hybrid sampling strategy to improve learning accuracy with less training data for image classifica... [more] PRMU2020-62
pp.139-144
ITS, IEE-ITS 2020-03-10
17:50
Shiga Ritsumeikan Univ. (BKC)
(Cancelled but technical report was issued)
A study on three-dimensional reconstruction using a scanning laser range finder and a spherical camera
Kou Yamasaki, Yasushi Tauchi, Yoshiki Mizukami (Yamaguchi Univ.) ITS2019-72
In this study, we attempt to reconstruct a 3D structure by synthesizing 3D point cloud obtained with a combination of a ... [more] ITS2019-72
pp.105-110
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Moire fringe animation display by see-through cloth overlay
Kazuki Yamada, Naoto Wakatsuki, Koichi Mizutani, Keiichi Zempo (Univ. Tsukuba)
We propose a method that enables animation by overlapping see-through cloths. We use moire as a
way to make this design... [more]

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