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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ME 2022-07-22
16:50
Online Online Deep Learning based Compressed Sensing Image Reconstruction Using Multiple Signal Under-sampling Pattern
Masaki Shibui, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.)
CS-MRI, which is an application of compressed sensing (CS) to MR image acquisition, can reconstruct MR images from a sma... [more] ME2022-71
pp.27-29
AIT, ME, MMS, IEICE-IE, IEICE-ITS [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] MMS2022-37 ME2022-62 AIT2022-37
pp.393-396
ME 2022-02-12
10:45
Online online Study on Deep Learning Reconstruction of MRI Complex Images Using Real-value CNN
Itona Fukatsu, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.)
Application of compressed sensing has been applied to speed up the data acquisition time for MR imaging. In recent years... [more] ME2022-7
pp.25-27
ME 2021-07-16
14:00
Online Online Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction
Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.)
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] ME2021-63
pp.9-11
ME 2020-02-08
13:45
Kanagawa Kanto Gakuin University Study on Signal Under-sampling Pattern in Deep Learning Reconstruction for MR Compressed Sensing
Yuki Sato, Satoshi ITO (Utsunomiya Univ.)
 [more] ME2020-22
pp.75-76
AIT, IIEEJ 2016-08-26
14:55
Hokkaido FUTURE UNIVERSITY HAKODATE Compressed Sensing of 3D MR Phase-varied Images using Multi-scale eFREBAS Transform
Mone Shibuya, Satoshi Ito (Utsunomiya Univ.)
 [more] AIT2016-143
pp.23-26
ME 2015-12-10
14:55
Kanagawa Toin Univ. of Yokohama Accelerating Magnetic Resonance Three-Dimensional Imaging with Compressed Sensing and Multi-GPU Computing
Yuta Onodera, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.)
Compressed sensing (CS) has inspired significant interest because of its potential to reduce data acquisition time. Howe... [more] ME2015-121
pp.17-21
IEICE-HIP, CE, HI 2013-11-19
13:50
Miyagi RIEC, Tohoku U. Perception of vocal expressions -- Effects of age and radio listening --
Akihiro Tanaka (Tokyo Woman's christian Univ.), Satoshi Ito, Kenji Sotoya, Satoshi Ohkawara (Nippon Cultural Broadcasting inc), Katsumi Watanabe (Univ. of Tokyo)
 [more]
 Results 1 - 8 of 8  /   
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