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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, CNR 2019-03-01
09:45		 Tokushima   Data Augmentation based on RGB-D SLAM 3D Data
Ken Miyamoto, Osamu Tsukahara (MELCO) PRMU2018-124 CNR2018-47		 Large data preparation is inevitable for training a deep neural network. Preparing the large data with handcrafted label... [more] PRMU2018-124 CNR2018-47
pp.53-57
PRMU 2014-03-14
16:15		 Tokyo   Transformation from a Parametric Curve to Lines
Ken Miyamoto, Masahiro Abukawa (Mitsubishi Electric) PRMU2013-213		  [more] PRMU2013-213
pp.271-275
MI 2009-01-20
15:25		 Overseas National Taiwan University A Study of Dynamic PET Reconstruction Using the Position -Dependent Basis functions -- The format of Technical Report --
Ken Miyamoto, Takashi Obi, Hideaki Tashima, Masahiro Yamaguchi, Nagaaki Ohyama (Tokyo Inst. of Tech.) MI2008-123		 It is necessary to estimate the tissue time-activity curve (tTAC) with high degree of accuracy in order to estimate para... [more] MI2008-123
pp.285-290
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