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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 51  /  [Next]  
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
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
MI 2021-03-16
14:00
Online Online Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] MI2020-74
pp.112-117
MI 2019-01-23
10:55
Okinawa   Semi-Automated Segmentation of Rotator Cuff in MR Images with Statistical Shape Model
Kazuki Ishiro, Kento Morita, Manabu Nii (Univ. of Hyogo), Tomoyuki Muto, Hiroshi Tanaka, Hiroaki Inui (Nobuhara Hospital), Syoji Kobashi (Univ. of Hyogo), Katsuya Nobuhara (Nobuhara Hospital) MI2018-91
A surgical method to repair rotator cuff tear is decided by a tear form. To diagnose the tear form, we previously propos... [more] MI2018-91
pp.131-136
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
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
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
11:10
Okinawa   3-Dimensional Humerus Statistical Shape Model for Making Artificial Shoulder Joint Design
Yuki Kubo, Kazuki Ishiro, Kento Morita, Manabu Nii (Univ. of Hyogo), Tomoyuki Muto, Hiroshi Tanaka, Hiroaki Inui (Nobuhara Hospital), Syoji Kobashi (Univ. of Hyogo), Katsuya Nobuhara (Nobuhara Hospital) MI2017-91
Currently, the humeral head portion of the artificial shoulder joint is mostly designed to approximate a sphere or ellip... [more] MI2017-91
pp.93-98
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-87 (To be available after the conference date) [more] MI2016-87
pp.63-64
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
VLD 2016-03-02
13:00
Okinawa Okinawa Seinen Kaikan An Algorithm for Reducing Components of a Gaussian Mixture Model 1 -- A Partitioning Method of Components --
Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) VLD2015-138
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] VLD2015-138
pp.155-160
MI 2016-01-19
10:00
Okinawa Bunka Tenbusu Kan Vertebra Shape Reconstruction from Low Quality Medical Images Using Statistical Shape Model and Particle Filtering
Shohei Fujisaki, Kenichi Morooka, Kensuke Kubota, Shoko Miyauchi, Tokuo Tsuji, Ryo Kurazume (Kyushu Univ.) MI2015-73
This paper proposes a new method for reconstructing vertebra shape model from low quality medical images.
Based on Part... [more]
MI2015-73
pp.1-5
MI 2016-01-19
10:48
Okinawa Bunka Tenbusu Kan Spatiotemporal Statistical Shape Model Construction Using Weighted PCA
Ryosuke Nakano, Saadia Binte Alam, Syoji Kobashi, Masakazu Morimoto, Satoru Aikawa (Univ of Hyogo), Akinobu Shimizu (Tokyo Univ of Agriculture and Technology) MI2015-77
Statistical shape model (SSM), which represents a static organ shape, has been applied to some medical image understandi... [more] MI2015-77
pp.25-29
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
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
CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] 2015-03-06
16:40
Kagoshima   An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component
Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) CPSY2014-170 DC2014-96
In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum o... [more] CPSY2014-170 DC2014-96
pp.49-54
MI 2015-03-02
11:30
Okinawa Hotel Miyahira Information fusion for computer-aided diagnosis of liver fibrosis -- Integration of shape information into conventional blood test based diagnosis --
Yuto Masaki, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama, Yoshinobu Sato (NAIST) MI2014-64
Liver biopsy currently used for a definitive diagnosis of liver fibrosis is invasive and causes inconvenience to the pat... [more] MI2014-64
pp.59-62
COMP 2014-10-08
13:30
Tokyo Chuo University [Invited Talk] Statistical Maximum and Minimum Operations for Gaussian Mixture Model and Their Applications
Shuji Tsukiyama (Chuo Univ.) COMP2014-28
Due to the progress of micro-technology, process variability is increasing in not only inter-die but also intra-die, and... [more] COMP2014-28
pp.17-18
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