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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
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)
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