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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
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
IST 2020-11-20
14:45
  Online [Invited Talk] Micro-second focusing based on resonance type liquid lens and exposure timing control: principle and application
Hiromasa Oku (Gunma Univ.), Kazuki Yamato (Utsunomiya Univ.), Keita Yasutomi, Shoji Kawahito (Shizuoka Univ.)
Combining a TAG lens, which is a liquid lens that utilizes a resonance phenomenon of around 100 kHz, and exposure timing... [more] IST2020-49
pp.29-34
 Results 1 - 4 of 4  /   
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