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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 #
HIP 2012-02-09
12:30
Okinawa   Development of Power Assist System with Motion Estimation Using Model Predictive Control
Takahiko Mori (Gifu National College of Tech.) HIP2011-58
Recently, many kinds of control methods using electromyogram (EMG) signals have been proposed for a power-assist robot o... [more] HIP2011-58
pp.1-6
MI 2009-01-19
16:05
Overseas National Taiwan University Development of an Automated Hemorrhages Detection Algorithm on Retinal Fundus Images
Yuji Hatanaka (Univ. of Shiga Pref.), Hiroshi Nonogaki, Teruhiko Kitagawa (Gifu National College of Tech.), Chisako Muramatsu (Gifu Univ.), Yoshinori Hayashi (Tak), Toshiaki Nakagawa (Kowa), Akira Sawada, Kazuhide Kawase, Hiroshi Fujita (Gifu Univ.) MI2008-71
Since a specific checkup scheme was initiated in April 2008, the number of fundus examinations has increased rapidly in ... [more] MI2008-71
pp.53-58
MI 2009-01-20
14:30
Overseas National Taiwan University [Poster Presentation] Automatic measurement method for mean CT value of hepatic parenchyma on X-ray CT images
Teruhiko Kitagawa (Gifu National College of Tech.), Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-140
In clinical situations, a mean CT value in liver parenchyma region is significant information to diagnose hepatic diseas... [more] MI2008-140
pp.367-370
MI 2009-01-21
09:50
Overseas National Taiwan University [Poster Presentation] Development of CAD for Retinal Fundus Images
Yuji Hatanaka (Univ. of Shiga Pref.), Chisako Muramatsu (Gifu Univ.), Toshiaki Nakagawa (Kowa), Yoshinori Hayashi (Tak), Keisuke Fukuta, Atsushi Mizutani, Tatsuhiko Iwase (Gifu Univ.), Hiroshi Nonogaki, Teruhiko Kitagawa (Gifu National College of Tech.), Hiroshi Fujita (Gifu Univ.) MI2008-190
Retinal fundus images are useful for the early detection of a number of ocular diseases. Examinations using retinal fund... [more] MI2008-190
pp.597-602
MI 2008-01-26
13:00
Okinawa Naha-Bunka-Tenbusu Recognition method of main-stem vessels for arteriolar narrowing detection on retinal fundus images
Toshifumi Hayashi, Toshiaki Nakagawa (Gifu Univ.), Yuji Hatanaka (Gifu National College of Tech.), Yoshinori Hayashi (TAK), Akira Aoyama (Ogaki Municipal Hospital), Yutaka Mizukusa, Akihiro Fujita (Kowa), Masakatsu Kakogawa (TAK), Takeshi Hara, Hiroshi Fujita, Tetsuya Yamamoto (Gifu Univ.) MI2007-131
We have been developing a computer-aided diagnosis system for early detection of arteriolar narrowing on retinal fundus ... [more] MI2007-131
pp.377-382
PRMU, MI 2007-05-25
14:00
Mie Mie Univ. An artery-vein classification using top-hat image and detection of arteriolar narrowing on retinal images
Toshifumi Hayashi, Toshiaki Nakagawa (Gifu Univ.), Yuji Hatanaka (Gifu National College of Tech.), Yoshinori Hayashi (TAK), Akira Aoyama (Gifu Univ.), Yutaka Mizukusa, Akihiro Fujita (Kowa Co, Ltd.), Masakatsu Kakogawa (TAK Co., Ltd.), Takeshi Hara, Hiroshi Fujita, Tetsuya Yamamoto (Gifu Univ.) PRMU2007-23 MI2007-23
The purpose of this study is to develop a computer-aided diagnosis (CAD) system for early detection of arteriolar narrow... [more] PRMU2007-23 MI2007-23
pp.127-132
MI 2007-01-27
09:30
Overseas the Cheju National Univ. Cup Region Extraction of Optic Nerve Head for Three-Dimensional retinal fundus image
Toshiaki Nakagawa (Gifu Univ.), Yoshinori Hayashi (Gifu Univ./TAC), Yuji Hatanaka (Gifu National College of Tech.), Akira Aoyama, Takeshi Hara (Gifu Univ.), Masakatsu Kakogawa (TAK), Hiroshi Fujita, Tetsuya Yamamoto (Gifu Univ.)
The analysis of the optic nerve head (ONH) on retinal fundus is an important way for early detection of glaucoma. It cou... [more] MI2006-184
pp.99-100
PRMU, HIP 2006-01-20
17:25
Osaka Osaka Univ. Facial Expression Recognition using Averaged Face and Boosting
Hideaki Homma (Toyohashi Univ. of Tech), Hirobumi Yamada (Gifu National College of Tech.), Ryo Taguchi, Tsuneo Nitta (Toyohashi Univ. of Tech)
In this report, we propose precise recognition of facial expression. Firstly, we show the effectiveness of introducing “... [more] PRMU2005-174 HIP2005-144
pp.147-152
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