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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
12:40
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Teeth Segmentation from 3D Dental Model using Deep Learning and Statistical Shape Models
Hazuki Yamada, Kana Kono (Okayama Univ.), Shoko Miyauchi (Kyushu Univ.), Hiroshi Kamioka (Okayama Univ.), Ken'ichi Morooka (Kumamoto Univ.) MI2023-73
3D dental model generated by using an intraoral scanner is a useful tool for knowing the shape of teeth. The application... [more] MI2023-73
pp.133-136
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
10:55
Okinawa   Temporally continuous Spatiotemporal Statistical Shape Model construction for the neonatal brain shape analysis
Kento Morita, Alam Saadia Binte, Manabu Nii (Univ. of Hyogo), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Akinobu Shimizu (Tokyo University of Agriculture and Technology), Syoji Kobashi (Univ. of Hyogo) MI2017-90
The number of neonates with development disorder is increasing in Japan. Very early intervention in development disorder... [more] MI2017-90
pp.87-91
MI 2016-07-26
14:55
Hokkaido Tomakomai Civic Hall A Method for Mapping Organ Volume Model with Internal Structure onto Target Volume
Shoko Miyauchi, Ken'ichi Morooka (Kyushu Univ.), Tokuo Tsuji (Kanazawa Univ.), Yasushi Miyagi (Fukuoka Mirai Hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2016-45
This paper proposes a new method for mapping a volume model of an organ with internal structures to a target volume with... [more] MI2016-45
pp.49-54
MI 2016-01-19
11:00
Okinawa Bunka Tenbusu Kan Automated segmentation of pelvis from CT using disease-specific statistical shape model
Otani Yuta, Futoshi Yokota, Yoshito Otake (NAIST), Masaki Takao, Takeshi Ogawa, Keisuke Uemura, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-78
It is necessary to extract the accurate shape of pelvis from CT for our automated surgical planning method of acetabular... [more] MI2015-78
pp.31-34
MI 2016-01-20
13:50
Okinawa Bunka Tenbusu Kan Tissue Volume Model Mapping onto Target Volume Based on modified Self-organizing Deformable Model
Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji (Kyushu Univ.), Yasushi Miyagi (Kaizuka hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2015-135
This paper proposes a new method for mapping volume models of human tissues onto a target volume with simple shape. The ... [more] MI2015-135
pp.305-308
MI 2014-01-26
16:05
Okinawa Bunka Tenbusu Kan Registration of Organs for Partial Medical Images Using Anatomical Landmarks
Yoshiki Kamiya, Naoki Kawamura, Hidekata Hontani (Nagoya Inst. of Tech.) MI2013-85
In this manuscript, the authors report about a method that registers a
statistical shape model of a target organ to gi... [more]
MI2013-85
pp.161-164
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-02
11:00
Tottori   Statistical face shape model separating inter-individual variation from intra-individual variation
Shinichi Kojima (TCRDL) PRMU2013-35 IBISML2013-15
Point Distribution Model is a shape model of Active Appearance Models used in face image processing, that is
represente... [more]
PRMU2013-35 IBISML2013-15
pp.13-18
MI 2013-07-18
10:35
Miyagi   Comparison of sparse non-directional graphical models on anatomical landmark distances by the Smoothly Clipped Absolute Deviation (SCAD) and the Graphical Lasso
Shouhei Hanaoka (Univ. of Tokyo Hospital), Yoshitaka Masutani (Univ. of Tokyo Hospital/Univ. of Tokyo), Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo Hospital), Kuni Ohtomo (Univ. of Tokyo Hospital/Univ. of Tokyo) MI2013-20
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a multi... [more] MI2013-20
pp.7-12
MI 2013-07-18
14:15
Miyagi   Automated Pelvis and Femur Segmentation of Diseased Hip CT Using Hierarchical and Conditional Statistical Shape Models -- Refinement Using Graph-cut --
Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2013-25
Segmentation of the diseased hip is a prerequisite for patient-specific simulation for hip surgery.
Accurate boundary d... [more]
MI2013-25
pp.33-38
PRMU, MI, IE 2012-05-17
13:00
Aichi   [Special Talk] On Statistical Shape Model of Surface for Nonrigid Registration
Hidekata Hontani (NIT) IE2012-21 PRMU2012-6 MI2012-6
A linear statistical shape model (SSM) is widely used for the non-rigid registration of a surface model. One can constru... [more] IE2012-21 PRMU2012-6 MI2012-6
pp.31-32
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 2012-01-19
15:25
Okinawa   Improvement of MDL Method by Adaptive Sampling on Spherical Parameter Space
Rui Xu (Yamaguchi Univ.), Xiangrong Zhou (Gifu Univ.), Yasushi Hirano (Yamaguchi Univ.), Rie Tachibana (Oshima National College of Maritime Tech.), Shoji Kido (Yamaguchi Univ.), Hiroshi Fujita (Gifu Univ.) MI2011-109
Statistical shape models (SSMs) is a very efficient method for medical image segmentation. An important problem of build... [more] MI2011-109
pp.173-178
VLD 2011-03-03
16:05
Okinawa Okinawaken-Danjo-Kyodo-Sankaku Center Performance Evaluation of Statistical Static Timing Analysis Using Gaussian Mixture Models
Tomoyuki Fujimori, Shuji Tsukiyama (Chuo Univ), Masahiro Fukui (Ritsumeikan Univ) VLD2010-135
With the progress of micro-technology, the within die process variability is increasing, and the statistical static timi... [more] VLD2010-135
pp.111-116
MI 2009-01-21
09:50
Overseas National Taiwan University [Poster Presentation] Construction of Hierarchical Statistical Shape and Motion Model of Hip Joint
Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masahiko Nakamoto, Masaki Takao, Nobuhiko Sugano, Hideki Yoshikawa (Osaka Univ.), Yukio Tada (Kobe Univ.), Yoshinobu Sato (Osaka Univ.) MI2008-180
Segmentation and separation of the femur and pelvis from 3D CT images are prerequisite of patient specific surgical plan... [more] MI2008-180
pp.545-550
PRMU, MI 2007-05-24
11:40
Mie Mie Univ. Semi-automated Segmentation of the Femur from 3D CT Images Using Multi-Level Statistical Shape Model
Futoshi Yokota (Kobe Univ.), Ryuji Shimada, Toshiyuki Okada (Osaka Univ.), Yoshiyuki Kagiyama (Kobe Univ.), Masahiko Nakamoto (Osaka Univ.), Masaki Takao (Osaka Koseinenkin Hospital), Nobuhiko Sugano, Yoshinobu Sato, Hideki Yoshikawa (Osaka Univ.), Yukio Tada (Kobe Univ.) PRMU2007-9 MI2007-9
We have been developed automated preoperative planning system for total hip arthrorplasty. One problem in preprocessing ... [more] PRMU2007-9 MI2007-9
pp.47-52
 Results 1 - 15 of 15  /   
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