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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SDM 2020-01-28
14:45
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Talk] Can in-memory/Analog Accelerators be a Silver Bullet for Energy-efficient Inference?
Jun Deguchi, Daisuke Miyashita, Asuka Maki, Shinichi Sasaki, Kengo Nakata, Fumihiko Tachibana, Ryuichi Fujimoto (KIOXIA) SDM2019-85
This presentation introduces and discuss recent trends on in-memory/analog computing for deep learning inference, which ... [more] SDM2019-85
p.11
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
11:45
Okinawa   [Short Paper] Performance Evaluation of Age Estimation Methods Using ADNI Database -- Comparison of Brain Local Features and CNN --
Koichi Ito, Ryuichi Fujimoto (Tohoku Univ.), Kai Wu (South China Univ. Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2017-71
This paper evaluates the accuracy of age estimation methods with brain local features and CNN using the ADNI database. W... [more] MI2017-71
pp.29-30
PRMU, IE, MI, SIP 2017-05-26
09:20
Aichi   An Age Estimation Method Using Brain Local Features of Brain MRI Images and Its Performance Evaluation
Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13
It is known that brain tissues have age-related morphological changes through a set of statistical analysis
using large... [more]
SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13
pp.67-70
MI 2016-07-25
15:15
Hokkaido Tomakomai Civic Hall A Study of an Efficient Method of Selecting Effective Brain Local Features for Age Estimation
Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical And Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2016-38
Estimating the age of a subject by evaluating brain morphological changes leads diagnostic support
or early detection o... [more]
MI2016-38
pp.13-18
SR 2012-05-24
16:25
Kanagawa Keio univ. at Hiyoshi [Panel Discussion] TBD
Ryuichi Fujimoto (Toshiba)
 [more]
ICD
(Workshop)
2010-08-16
- 2010-08-18
Overseas Ho Chi Minh City University of Technology Device-modeling techniques for high-frequency circuits operated at over 100GHz
Ryuichi Fujimoto (STARC), Kyoya Takano, Mizuki Motoyoshi (Univ. of Tokyo), Uroschanit Yodprasit, Minoru Fujishima (Hiroshima Univ.)
Device-modeling techniques for high-frequency circuits operated at over 100 GHz is presented. When the MOSFET model incl... [more]
ICD, ITE-CE 2006-12-14
11:40
Hiroshima   A Quadrature Demodulator for WCDMA Receiver Using Common-Base Input Stage with Robustness to Transmitter Leakag
Toshiya Mitomo, Osamu Watanabe, Ryuichi Fujimoto, Shunji Kawaguchi (Toshiba)
 [more] ICD2006-149
pp.37-42
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