Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 13:15 |
Online |
Online |
Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images Shinya Abe, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
In recent years, there has been several researches on reconstruction methods using deep learning, which can significantl... [more] |
|
MI |
2021-05-17 14:40 |
Online |
Online |
MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging Kazuki Yamato, Hiromichi Wakatsuki, Satoshi Ito (Utsunomiya Univ.) MI2021-6 |
In the phase-scrambling Fourier transform (PSFT) imaging, the signals not sampled during imaging can be extrapolated and... [more] |
MI2021-6 pp.14-19 |
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 |
2021-03-15 14:45 |
Online |
Online |
Real valued CNN based MR image reconstruction Robust to spatial phase variation Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-57 |
MR images have spatial phase distribution due to the inhomogeneities of static magnetic field strength and the differenc... [more] |
MI2020-57 pp.46-50 |
ISEC |
2019-05-17 16:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Talk]
Risk of Re-identification from Payment Card Histories in Multiple Domains (from AINA 2018) Satoshi Ito, Reo Harada, Hiroaki Kikuchi (Meiji Univ.) ISEC2019-9 |
De-identification is the process of modifying a data set to prevent the identification of individual people from the dat... [more] |
ISEC2019-9 pp.45-46 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 15:45 |
Okinawa |
|
[Short Paper]
Study on Oblique Scanning in MR Compressed Sensing Yuya Sasaki, Satoshi Ito (Utsunomiya Univ.) MI2017-102 |
Compressed sensing (CS) theory requires the sensed image to be sparse in a given orthogonal basis. When the sensed image... [more] |
MI2017-102 pp.133-134 |
RCS, NS (Joint) |
2017-12-15 14:05 |
Hiroshima |
Aster Plaza |
Efficient updates scheduling Method Using Genetic Algorithms in Wireless Sensor Networks Satoshi Ito (Tokyo City Univ.), Hiromu Asahina (Keio Univ.), Akihide Utani (Tokyo City Univ.) RCS2017-265 |
With the rapid growth of IoT devices, malware targeting these devices have rapidly increased.
In order to protect the d... [more] |
RCS2017-265 pp.83-88 |
NS, CQ, ICM, NV (Joint) |
2016-11-25 12:10 |
Yamaguchi |
Shimonoseki Chember of Commerce and Industry |
Energy-Efficient Schemes for Disaster Scenarios in Wireless Mesh Networks Satoshi Ito (Tokyo City Univ), Hiromu Asahina (Keio Univ), Hisao Yamamoto, Akihide Utani (Tokyo City Univ) CQ2016-86 |
In disaster scenarios, the communication infrastructure is required to verify the safety of family and loved ones and sh... [more] |
CQ2016-86 pp.71-76 |
MI |
2012-01-19 11:20 |
Okinawa |
|
Compressed Sensing Combined with Resolution Enhancements in MR Phase-Scrambling Fourier Imaging Technique Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2011-82 |
In recent years, compressed sensing (CS) has attracted considerable attention in areas of rapid MR imaging. Our group an... [more] |
MI2011-82 pp.29-34 |
MI |
2012-01-20 15:20 |
Okinawa |
|
Compressed Sensing using Multi-step FREBAS Thresholding in Magnetic Resonance Imaging Hirotoshi Arai, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2011-154 |
Recently, there has been an emerging interest to accelerate MRI through iterative reconstruction of undersampled data ba... [more] |
MI2011-154 pp.425-430 |
MI |
2010-11-15 13:50 |
Kyoto |
Shimadzu Corp. |
Denoising of MR Images Using FREBAS Collaborative Filtering Masayuki Hizume, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2010-74 |
We propose a novel image denoising strategy based on the correlation in the FREBAS transformed domain. FREAS transform i... [more] |
MI2010-74 pp.45-49 |
MI |
2010-11-15 14:15 |
Kyoto |
Shimadzu Corp. |
Compressive Sensing of MR Images Using FREBAS Transform Koji Miyabayashi, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2010-75 |
Recently, there has been an emerging interest to accelerate MRI through iterative reconstruction of undersampled data ba... [more] |
MI2010-75 pp.51-55 |
MI |
2009-07-15 09:30 |
Tokyo |
AIST Tokyo waterfront annex 11F meeting room #1 |
A Single Image Based Super Resolution Approach Using FREBAS Transform Yushi Harada, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2009-40 |
Super-resolution is a method of restoring an image by extrapolating the signal beyond the band-limited receiver system. ... [more] |
MI2009-40 pp.1-5 |
MI |
2009-07-15 09:50 |
Tokyo |
AIST Tokyo waterfront annex 11F meeting room #1 |
Denosing of Low SNR Images Using FREBAS Transform Masato Yomogida, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2009-41 |
The FREBAS transform, which we have proposed, has been applied for image denoising, in which noise removal is executed i... [more] |
MI2009-41 pp.7-12 |
MI |
2009-01-21 09:50 |
Overseas |
National Taiwan University |
[Poster Presentation]
Data Interpolation in PSFT MRI for Alias-less Image Reconstruction by using Iterative Signal Restoration Algorithm Yoshifumi Yamada, Satoshi Ito (Utsunomiya Univ.) MI2008-174 |
The signal of the Phase Scrambling Fourier Transform (PSFT) imaging technique is given by the Fourier transform of the s... [more] |
MI2008-174 pp.519-522 |
MI |
2008-09-17 11:30 |
Kyoto |
Shimadzu Corp. |
Study on Single Coil Parallel Imaging Using Phase-Scrambling Fourier Transform Technique Satoshi Ito, Yasuhiro Kawawa, Keisuke Morita, Yoshifumi Yamada (Utsunomiya Univ.) MI2008-39 |
[more] |
MI2008-39 pp.21-26 |