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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-03
14:30		 Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 [Invited Lecture] Latest Research Trends 2023: Machine Learning for Medical Image Processing
Fukashi Yamazaki (Canon) MI2023-48		 In this paper, we overview the outlines of MICCAI 2023’s main conference sessions and satellite workshops. Several inter... [more] MI2023-48
pp.53-55
MI 2015-09-08
10:30		 Tokyo Univ. of Electro-communications Fast Statistical Image Reconstruction Method Using Filtered-Backprojection-Type Preconditioning
Fukashi Yamazaki, Takuya Nemoto, Keita Takaki, Hiroyuki Kudo (Univ. of Tsukuba) MI2015-48		 Statistical image reconstruction can take the statistical nature of the noise in to account. However, it requires enormo... [more] MI2015-48
pp.1-6
MI 2015-09-08
10:55		 Tokyo Univ. of Electro-communications Proposal of a Fault-Tolerant CT Image Reconstruction Method
Keita Takaki, Fukashi Yamazaki, Takuya Nemoto, Hiroyuki Kudo (Tsukuba Univ.) MI2015-49		 In CT imaging, data missing occurs due to limitations of the equipment when measuring projection data. It produces artif... [more] MI2015-49
pp.7-11
MI 2015-03-03
10:46		 Okinawa Hotel Miyahira Row-Action-Type Method for Total-Variation Regularization and its Application to CT Image Reconstruction
Fukashi Yamazaki, Takuya Nemoto, Keita Takaki, Hiroyuki Kudo (Tsukuba Univ.) MI2014-95		 This paper proposes an exact row-action-type total variation(TV) minimization algorithm which is faster than conventiona... [more] MI2014-95
pp.199-204
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