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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 2023-03-06
13:54
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning
Ryota Nakatani (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake (NAIST), Tomoko Ikawa, Yuko Shigeta, Takuya Kihara, Shuji Shigemoto, Takumi Ogawa (Tsurumi Univ.), Mazen Soufi, Yoshinobu Sato (NAIST) MI2022-83
Although dental CAD/CAM systems have contributed to dental treatment, it is difficult for current systems to design toot... [more] MI2022-83
pp.52-56
MI 2023-03-06
14:07
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes
Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] MI2022-84
pp.57-62
MICT, MI 2022-11-18
14:25
Aichi Nagoya Institute of Technology Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database
Yuga Shimomoto, Yoshito Otake, Tomoki Hakotani, Mazen Soufi (NAIST), Hideki Shigematu (Nara Med. Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Toshiaki Akashi (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2022-39 MI2022-68
One way to describe variations in skeletal shape is a statistical shape model (SSM), which statistically analyzes organ ... [more] MICT2022-39 MI2022-68
pp.29-32
PRMU, MI, IE, SIP 2018-05-18
09:45
Gifu   Large Deformation Diffeomorphic Metric Mapping of 3D Organ Shape and the Statistical Shape Model on Non-Linear Manifold
Takuya Hashiguti, Shuntaro Monobe, Hidekata Hontani, Tatsuya Yokota (NIT) SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7
In this article,we report on a method that generates a set of corresponding points on the surfaces of target organs in g... [more] SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7
pp.29-34
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
09:56
Okinawa Bunka Tenbusu Kan Automated liver segmentation from 3D MRI without parameter tuning for imaging condition
Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114
The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis.
Several p... [more]
MI2015-114
pp.199-204
PRMU, MI, IE 2013-05-25
15:30
Aichi   Study on Spatial Connectivity of Likelihood Distribution for Registering Point Distribution Model to Images
Shin-ya Uto, Hidekata Hontani (Nagoya Inst. of Tech.) IE2013-25 PRMU2013-18 MI2013-18
We propose a non-rigid surface registration method for point distribution model, which considers spatial connectivity of... [more] IE2013-25 PRMU2013-18 MI2013-18
pp.85-88
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
MI 2012-01-19
16:30
Okinawa   Abdominal multi-organ segmentation of 3D CT images based on hierarchical statistical modeling of spatial interrelations among organs -- Performance evaluation based on exhaustive analysis of spatial interrelations --
Toshiyuki Okada (Osaka Univ.), Marius George Linguraru (Children's National Medical Center), Masatoshi Hori, Yuki Suzuki (Osaka Univ.), Ronald M. Summers (National Institutes of Health), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-113
The automated segmentation of multiple organs in CT data of the upper abdomen is addressed. In order to explicitly incor... [more] MI2011-113
pp.197-201
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu Proposal of a conditional probabilistic atlas and its application to pancreas segmentation from an abdominal CT volume
Hiroaki Ochiai, Akinobu Shimizu, Hidefumi Kobatake (Tokyo Univ. of Agr and Tech), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2010-106
(To be available after the conference date) [more] MI2010-106
pp.133-138
MI 2010-09-03
16:50
Saitama   Construction of statistical atlas in root of hepatic vascular and apply for automatic vessel identification
Motoi Kinishi (Ritsumeikan Univ.), Toshiyuki Okada, Masatoshi Hori (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-64
It is important to classify vessels extracted in range of liver into the portal vein, hepatic vein or hepatic artery. So... [more] MI2010-64
pp.75-80
PRMU, IE, MI 2010-05-14
09:45
Aichi Chubu Univ. A Statistical Shape model using 2D-principal Component Analysis from few Medical Samples
Tomoko Tateyama, Taishi Tanaka, Shinya Kohara (Ritsumeikan Unive), Amir H Foruzan, Akira Furukawa (SUMS), Yen-Wei Chen (Ritsumeikan Unive) IE2010-32 PRMU2010-20 MI2010-20
Statistical model is to model the shape variation of an object for human organ, and used for a variety of medical applic... [more] IE2010-32 PRMU2010-20 MI2010-20
pp.103-108
MI 2009-07-15
17:20
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Metastatic Liver Tumor Segmentation from Plain and Contrast Enhanced Computed Tomography
Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-54
This paper presents an automated metastatic liver tumor segmentation process from plane and portal venous CT volumes. Fi... [more] MI2009-54
pp.79-84
 Results 1 - 15 of 15  /   
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