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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
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
 Results 1 - 16 of 16  /   
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