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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 #
IA 2016-11-09
13:10
Hokkaido Onuma International Seminar Hous Implementation of a Cloud Management Framework Using an Amount of Monitoring Resource Information
Kazuya Sakaguchi, Ryunosuke Ogawa, Kaori Maeda, Chisa Takano (Hiroshima City Univ.), Tohru Kondo (Hiroshima Univ.) IA2016-56
Recently, the demand for an inter-cloud architecture based on the concept of interconnecting clouds increases, while the... [more] IA2016-56
pp.1-6
IA 2014-11-27
11:15
Tottori Green-Squalle Sekigane (Tottori) [Poster Presentation] A Trial of 4K Video Streaming Using WebRTC
Kazuya Sakaguchi, Katsuya Tanaka, Kaori Maeda (Hiroshima City Univ.), Tohru Kondo (Hiroshima Univ.) IA2014-66
Live streaming becomes ordinary services using the Internet. In addition, more high-resolution videos such as 4K are ex... [more] IA2014-66
pp.29-30
MI 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan Comparison between a Renormalization Method for Linear Regression and a Bayes Method for Denoizing with respect to Improvement of Dynamic PET Image Analysis
Takahiro Kozawa, Hidekata Hontani (Nagoya Inst. of Tech.), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2013-109
The tissue time activity curve (tTAC) represents a time variation of radioactivity of ligand in the brain derived from b... [more] MI2013-109
pp.285-290
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan Influence of rate constants as the prior to performance of denoising tissue time activity curves for PET kinetic analaysis
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMIG), Yuichi Kimura (NIRS) MI2012-117
A Bayesian approach to de-noise tissue time activity curves (tTAC) is proposed. The proposed method estimate the posteri... [more] MI2012-117
pp.287-292
MI 2012-07-19
15:40
Yamagata Yamagata Univ. Bayesian Inference Approach to Visualize Neuroreceptor Density using Positron Emission Tomography without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2012-26
A Bayesian approach to de-noise tissue time activity curves (tTAC) is proposed in order to quantitatively visualize neur... [more] MI2012-26
pp.29-34
MI 2012-01-19
10:30
Okinawa   Bayesian Approach for the Denoising to PET Dynamic Data without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2011-79
In this report, we propose a new method for denoising tissue time activity curve (tTAC) measured from brain PET images. ... [more] MI2011-79
pp.11-16
MI 2010-01-28
09:55
Okinawa Naha-Bunka-Tenbusu Determination of starting time for graphical analysis using X-square test in PET receptor imaging
Hiroto Ogaki (Chiba Univ/NIRS), Kazuya Sakaguchi (NIRS), Mikio Suga (Chiba Univ/NIRS), Yuichi Kimura (NIRS/Chiba Univ) MI2009-75
This study aims at developing an algorithm to estimate a starting point, t*, for Logan Graphical Analysis (LGA) and Mult... [more] MI2009-75
pp.1-6
MI 2010-01-28
10:05
Okinawa Naha-Bunka-Tenbusu A Strategy to Improve PET Neuroreceptor Analysis MA1 Based on Statistics of Measurement Errors
Naoki Hoshino, Hidekata Hontani (Nagoya Inst. of Tech.), Mika Naganawa, Kazuya Sakaguchi (National Inst. of Radiological Sci.), Muneyuki Sakata, Kiichi Ishiwata (Tokyo Metro Inst. of Gerontology), Yuichi Kimura (National Inst. of Radiological Sci.) MI2009-76
In this article, we propose a new method for improving MA1, which
estimates total distribution volume $V_{\rm T}$, the ... [more]
MI2009-76
pp.7-12
 Results 1 - 8 of 8  /   
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