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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 13:50 |
Online | Online (Zoom) | IMQ2021-51 IE2021-113 MVE2021-80 |
We propose Laplacian Pyramid Translation Transformer (LPTT), a network for image to image translation. LPTT creates a La... [more] | IMQ2021-51 IE2021-113 MVE2021-80 pp.209-215 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 11:00 |
Online | Online | Illustration author style translation using SailormoonRedraw data Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo) ITS2021-26 IE2021-35 |
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more] | ITS2021-26 IE2021-35 pp.7-12 |
| 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 10:13 |
Online | Online | [Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] | MI2021-53 pp.41-42 |
| 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 |
| SWIM | 2021-11-27 15:55 |
Online | Online | Contour Detection Method Using CycleGAN with CG Images as Ground Truth Tsukasa Kudo (SIST) SWIM2021-29 |
In object detection from images, contour detection methods with pixel by pixel manner by using GAN have been proposed. H... [more] | SWIM2021-29 pp.23-28 |
| IMQ | 2021-10-22 14:10 |
Osaka | Osaka Univ. | Image translation from optical image with embedded crystallographic orientation information to photoluminescence image by conditional GAN
-- a study of selection of optical images -- Hiroaki Kudo, Takuto Kojima (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Tetsuya Matsumoto, Noritaka Usami (Nagoya Univ.) IMQ2021-8 |
We can observe changes of reflected lights depend on a crystallographic orientation of each grain in a multicrystalline ... [more] | IMQ2021-8 pp.8-11 |
| MI | 2021-03-17 13:45 |
Online | Online | Medical Image Style Translation by Adversarial Training with Paired Inputs Kazuki Fujioka (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-96 |
Medical image diagnosis by artificial intelligence requires a large amount of data for learning. However, preparing such... [more] | MI2020-96 pp.212-217 |
| PRMU | 2020-12-17 10:15 |
Online | Online | Synthesize talking anime-heads images by tunneling through human-heads domain Shun Fujiuchi, Ryo Hachiuma, Kunihiro Hasegawa, Hideo Saito (Keio Univ.) PRMU2020-39 |
Avatars are widely used on the Internet to establish non-verbal communication without exposing one's physical identity. ... [more] | PRMU2020-39 pp.7-11 |
| MI | 2020-09-03 10:00 |
Online | Online | Lung region segmentation of thoracoscopic image with unsupervised image translation Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19 |
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] | MI2020-19 pp.13-18 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:15 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Translation from Line Drawings to Manga Using Deep Learning by Adding a Screentone Layer Koki Tsubota, Daiki Ikami, Kiyoharu Aizawa (UTokyo) ITS2019-38 IE2019-76 |
The translation from line drawings to manga is one of the processes for creating manga and the automation of this proces... [more] | ITS2019-38 IE2019-76 pp.201-206 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Extracting and Visualization of Essential Features for Staining Translation of Pathological Images Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT) MI2019-116 |
In this manuscript, we propose a method for stain translation of pathology images. When one constructs a computer aided ... [more] | MI2019-116 pp.215-218 |
| MBE, NC (Joint) |
2018-05-19 13:50 |
Toyama | Univ. of Toyama | A MR bone model-based estimation of the tibial coordinate system Yuma Morita, Toyohiko hayashi (Niigata Unvi), Satoshi Watanabe (Medical Center) MBE2018-3 |
Since the knee joint is known to be one of the most vulnerable parts in the human body, its 3D bone model-based motion a... [more] | MBE2018-3 pp.13-18 |
| PRMU, BioX | 2018-03-18 14:20 |
Tokyo | A Study of Fast Image Matching Method Under Translation, Scale and Rotation Toru Takahashi, Kengo Makino, Yuta Kudo, Rui Ishiyama (NEC) BioX2017-42 PRMU2017-178 |
This paper presents a fast pattern matching method which covers image translation, rotation and scaling. Pattern matchin... [more] | BioX2017-42 PRMU2017-178 pp.37-42 |
|
| IBISML | 2018-03-06 13:10 |
Fukuoka | Nishijin Plaza, Kyushu University | Sonar2image: GAN-based night vision for fish monitoring Kento Shin, Kei Terayama, Katsunori Mizuno, Koji Tsuda (Univ. of Tokyo) IBISML2017-102 |
Fish monitoring in an aquaculture farm is indispensable for managing fish growth and health status. However, it is not ... [more] |
IBISML2017-102 pp.85-89 |
| SIP | 2015-08-19 14:50 |
Tokyo | National Institute of informatics | Theory for depth and motion imaging by the vibro-ocular stereo method
-- Verification the principle and experimental evaluation -- Toshimitsu Uesaka, Shigeru Ando (Todai) SIP2015-53 |
This paper describes a method for simultaneous image measurement of depth and lateral (perpendicular to optical axis) t... [more] |
SIP2015-53 pp.13-18 |
| NC, MBE (Joint) |
2014-03-18 10:20 |
Tokyo | Tamagawa University | Non-rotation Translated CT Equipment And Image Reconstruction
-- Extended Function Of CT Software TomoShop -- Mika Yo, Kaiken Yo (MNR) MBE2013-134 |
In order to obtain defective information accurately, the manufactories developed cone beam X-ray CT apparatus by placing... [more] | MBE2013-134 pp.103-108 |
| SIS | 2013-12-12 09:00 |
Tottori | Torigin Bunka Kaikan (Tottori) | Data Extraction from Data Embedded Printed Image Using Embedding Markers for Image Correction Kimitoshi Tamaki, Mitsuji Muneyasu (Kansai Univ.) SIS2013-27 |
This paper proposes a new data embedding and extracting method from a printed image. The clipping of the target part fro... [more] | SIS2013-27 pp.1-6 |
| SIS, IPSJ-AVM | 2013-09-13 11:15 |
Tokyo | Waseda Univ. | A method of data embedding and extracting to the printed image by using embedding markers Kimitoshi Tamaki, Mitsuji Muneyasu (Kansai Univ.) SIS2013-25 |
In this paper, we propose a new data embedding and extracting method from a printed image. By embedding the data in the ... [more] | SIS2013-25 pp.71-76 |
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