Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
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 |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Automatic segmentation of multiple organ regions from 3D CT images using GrabCut and organ detection Takaaki Ito, Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Huayue Chen (Gifu Univ.), Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-61 |
Automatic segmentation of organs from CT images is one of very important issues in developing. GraphCut is useful for th... [more] |
MI2013-61 pp.31-36 |
MI |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Multi-organ localizations on a large number of CT images by using machine learning and its performance evaluations Shoichi Morita, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (NEU), Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-62 |
In this study, we propose an approach to accomplish general localization of the different inner organ regions on 3D CT s... [more] |
MI2013-62 pp.37-41 |
MI |
2013-07-19 14:30 |
Miyagi |
|
Construction and evaluation of probabilistic atlases of multiple organs by using case similarity Atsuto Watanabe, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hosp.), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-35 |
Automatic segmentation of organs from CT images is one of very important issues in developing computer-aided diagnosis s... [more] |
MI2013-35 pp.77-81 |
MI |
2013-01-24 13:10 |
Okinawa |
Bunka Tenbusu Kan |
Investigation on the method of constructing a database of anatomical structures in torso region based on CT images Shotaro Yamaguchi, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-78 |
A big database that covers the large variance of the anatomical structures of different organs is required by the develo... [more] |
MI2012-78 pp.83-88 |
MI |
2012-01-19 11:20 |
Okinawa |
|
Construction of the statistical shape models and its performance evaluation for the 3D torso organs using the MDL method Shotaro Yamaguchi, Xiangrong Zhou (Gifu Univ.), Rui Xu (Yamaguchi Univ.), Takeshi Hara (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi (Gifu Univ.), Shoji Kido (Yamaguchi Univ.), Hiroshi Fujita (Gifu Univ.) MI2011-94 |
The extraction of the object organ areas is needed by the development of the computer-aided diagnosis system to assist t... [more] |
MI2011-94 pp.93-96 |
MI |
2012-01-20 11:25 |
Okinawa |
|
Probabilistic atlas construction and performance evaluation of multiple organs in X-ray torso CT Images Junna Sawada, Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Jiang Huiyan (NEU), Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2011-129 |
[more] |
MI2011-129 pp.287-291 |
MI |
2012-01-20 11:25 |
Okinawa |
|
Automatic organs segmentation from non-contrast CT images by using content-based image retrieval Atsuto Watanabe, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ. Hosp), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2011-150 |
Currently, it is required for automatic extraction of organs from CT. The automatic extraction of organs may require pri... [more] |
MI2011-150 pp.407-410 |
MI |
2011-01-20 09:45 |
Okinawa |
Naha-Bunka-Tembusu |
Automated classification of cerebral arteries in MRA images using visible human Korea image
-- Performance evaluation using large image database -- Tatsunori Asano (Gifu Univ), Yoshikazu Uchiyama (Oita NCT), Ryujiro Yokoyama, Takeshi Hara, Toru Iwama, Hiroaki Hoshi (Gifu Univ), Min Suk Chung (Ajou Univ), Hiroshi Fujita (Gifu Univ) MI2010-87 |
Magnetic resonance angiography is used for the early detection of unruptured aneurysm, stenosis, and occlusion in brain ... [more] |
MI2010-87 pp.35-39 |
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 |
2009-07-15 11:20 |
Tokyo |
AIST Tokyo waterfront annex 11F meeting room #1 |
Development of a method for quantifying the spinal curvature in X-ray CT images and its evaluation Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2009-45 |
Spinal curvature contributes to maintaining spinal balance, and maintaining normal spinal curvature is important. This s... [more] |
MI2009-45 pp.29-32 |
PRMU, IE, MI |
2009-05-28 16:45 |
Gifu |
Gifu Univ. |
Preliminary study of automated segmentation of kidney in non-contrast CT images base on position, orientation and shape features analysis. Shunichi Yoshimoto, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita (Gifu Univ), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi (Gifu Univ) IE2009-29 PRMU2009-20 MI2009-20 |
The modern CT scanners have been widely used in Japan. The cases of the CT scans covering the human torso (chest and abd... [more] |
IE2009-29 PRMU2009-20 MI2009-20 pp.107-110 |
PRMU, IE, MI |
2009-05-29 09:30 |
Gifu |
Gifu Univ. |
Development and performance evaluation of automatic segmentation method of cerebral arteries in MRA image by use of large image database Tatsunori Asano, Yoshikazu Uchiyama, Ryujiro Yokoyama, Takeshi Hara, Hiroshi Fujita, Toru Iwama, Hiroaki Hoshi (Gifu Univ) IE2009-34 PRMU2009-25 MI2009-25 |
Computer-aided diagnosis (CAD) schemes for the detection of cerebrovascular diseases such as unruptured aneurysm and ste... [more] |
IE2009-34 PRMU2009-25 MI2009-25 pp.135-139 |
PRMU, IE, MI |
2009-05-29 15:45 |
Gifu |
Gifu Univ. |
Initial Examination of Automatic Calculation Method of Non-rigid Deformity of the Liver in MR Tagging Images Seiki Miotani, Xiangrong Zhou (Gifu Univ.), Teruhiko Kitagawa (Gifu NCT), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Ryujiro Yokoyama, Haruo Watanabe, Masayuki Kanematsu (Gifu Univ. Hosp.), Hiroaki Hoshi (Gifu Univ.) IE2009-48 PRMU2009-39 MI2009-39 |
We propose an automatic calculation method of the degree of non-rigid deformity of the liver in MR Tagging images.In our... [more] |
IE2009-48 PRMU2009-39 MI2009-39 pp.213-218 |
MI |
2009-01-19 13:30 |
Overseas |
National Taiwan University |
[Poster Presentation]
A semi-automatic approach for evaluating thoracic kyphosis and lumbar lordosis on X-ray CT images Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-80 |
A spinal curvature contributes to maintaining spinal balance, and maintaining normal spinal curvature is important for t... [more] |
MI2008-80 pp.97-100 |
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 |
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 |
2009-01-20 14:30 |
Overseas |
National Taiwan University |
[Poster Presentation]
Automated segmentation and analysis of mammary gland regions in CT images using probabilistic atlas Mingxu Han, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Huayue Chen, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (GifuUniv.) MI2008-154 |
The identification of mammary gland regions can provide useful information for breast tumor diagnosis. This study propos... [more] |
MI2008-154 pp.435-438 |
MI |
2008-07-16 15:45 |
Hokkaido |
Sapporo Medical University |
Analysis on the distribution of bone mineral density at vertebral trabecular bones using X-ray CT images Tatsuro Hayashi, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (Gifu Univ.) MI2008-26 |
The number of osteoporosis patient is increasing every year in Japan. Recent years, multi-detector-row CT is widely used... [more] |
MI2008-26 pp.35-40 |
|