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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
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
PRMU, MI, IE, SIP 2015-05-15
13:30
Mie   Initial study of an automated recognition method of the supraspinatus muscle based on a muscle direction model in torso CT images
Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Masanori Kume (Gifu Univ.), Xiangrong Zhou, Huayue Chen (Grad. Sch. Gifu Univ.), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Grad. Sch. Gifu Univ.) SIP2015-22 IE2015-22 PRMU2015-22 MI2015-22
The supraspinatus muscle is a functionally important muscle in four muscle groups that constitute the cuff. In this rese... [more] SIP2015-22 IE2015-22 PRMU2015-22 MI2015-22
pp.117-120
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Development of an automated recognition method of the iliacus muscle based on a muscle fiber direction in torso CT images
Naoki Kamiya, Yoshiki Ando (NITTC), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2014-65
We have proposed an automatic recognition method of skeletal muscle in CT images based on a shape model. We also propose... [more] MI2014-65
pp.63-66
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Model-based approach to recognize the middle and inferior fibers of the trapezius muscle in torso CT images
Haruka Kobayashi, Naoki Kamiya (Toyota Nat'l Col. Tech.), Asumi Kamiya (Higashi Nagoya National Hospital), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2013-68
We have proposed an automatic recognition method of skeletal muscle in torso CT images based on a shape model and positi... [more] MI2013-68
pp.69-72
MI 2013-01-25
10:50
Okinawa Bunka Tenbusu Kan Automated recognition of the rectus abdominis muscle in CT images based on a virtual image-unfolding technique by the removal of the subcutaneous fat region
Naoki Kamiya (Toyota Nat'l Col. Tech.), Chisako Muramatsu, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-99
We had proposed an automated method for recognizing skeletal muscle in torso X-ray CT images using skeletal positional i... [more] MI2012-99
pp.197-200
MI 2009-09-16
15:30
Fukuoka Kyushu Institute of Technology Library Development of an abdominal skeletal muscle model and its automated recognition in X-ray CT images
Naoki Kamiya, Xiangrong Zhou, Huayue Chen, Tatsuro Hayashi, Takeshi Hara (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hosp.), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2009-61
 [more] MI2009-61
pp.31-34
MI 2009-01-19
13:30
Overseas National Taiwan University [Poster Presentation] Automated estimation of the position of prostate using a shape model in CT images
Itoshi Naramura, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Huayue Chen, Hiroshi Fujita (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi (Gifu Univ.) MI2008-99
Recently, the morbidity rate of the prostate cancer is on the increase. Moreover, the chance to take picture of the huma... [more] MI2008-99
pp.187-190
 Results 1 - 13 of 13  /   
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