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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