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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 #
MI 2019-01-22
13:20		 Okinawa   MI2018-69 (To be available after the conference date) [more] MI2018-69
pp.39-40
SIP, EA, SP, MI
(Joint) [detail]		 2018-03-19
13:40		 Okinawa   MI2017-73 (To be available after the conference date) [more] MI2017-73
pp.33-34
MI 2017-01-18
14:15		 Okinawa Tenbusu Naha MI2016-86 (To be available after the conference date) [more] MI2016-86
pp.61-62
MI 2017-01-18
14:15		 Okinawa Tenbusu Naha [Short Paper]
Takuya Kojima, Xiangrong Zhou (Gifu Univ.), Kagaku Azuma (University of Occupational and Environmental Health), Ryujiro Yokoyama, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) MI2016-89		 (To be available after the conference date) [more] MI2016-89
pp.69-70
PRMU, IE, MI, SIP 2016-05-19
14:00		 Aichi   Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region
Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou (Gifu Univ.), Hiroki kato (Gifu Univ. Hosp.), Huayue Chen (Univ. of Occupational and Environmental Health), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6		 The effectiveness of automated recognition method using the skeletal muscle model has been demonstrated, as one of the a... [more] SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6
pp.27-30
MI 2016-01-20
09:20		 Okinawa Bunka Tenbusu Kan Preliminary study on automated recognition of iliopsoas muscle based on muscle direction model of psoas major and iliac muscle
Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Chisako Muramatsu, Takeshi Hara, Hiroki Kato (Gifu Univ.), Huayue Chen (Univ. of Occupational and Environmental Health), Ryujiro Yokoyama (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) MI2015-111		 We have proposed an automatic recognition method of skeletal muscle in CT images based on a shape model. We also propose... [more] MI2015-111
pp.183-186
MI 2015-09-08
15:25		 Tokyo Univ. of Electro-communications Study of the body cavity recognition based on TPS method for systemic skeletal muscle recognition in whole-body CT images
Kosuke Ieda (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Megumi Yamada, Hiroki Kato (Gifu Univ.), Kagaku Azuma (University of Occupational and Environmental Health), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2015-55		 The purpose of this research is to recognize whole skeletal muscles for whole-body CT images suspected of an ALS. Theref... [more] MI2015-55
pp.35-38
 Results 1 - 7 of 7  /   
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