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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 49  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2016-03-25
09:45
Tokyo   A preliminary study on interactive segmentation of pancreases from abdominal CT by use of Graph Cut with Homography transformed probabilistic atlases
Takenobu Suzuki, Hotaka Takizawa, Hiroyuki Kudou, Toshiyuki Okada (Univ. Tsukuba) BioX2015-58 PRMU2015-181
This paper proposes a method of interactive segmentation of pancreases from abdominal CT images based on the anatomical ... [more] BioX2015-58 PRMU2015-181
pp.93-97
PRMU, BioX 2016-03-25
10:15
Tokyo   Vessel tracking from 3D CT images based on 2D cross-section analysis
Akira Uchida, Toshiyuki Okada, Hotaka Takizawa, Hiroyuki Kudo, Yukio Oshiro, Nobuhiro Okochi (Univ. of Tsukuba) BioX2015-59 PRMU2015-182
This paper proposes a segmentation method of complex vascular structures based on three-dimensional vessel tracking and ... [more] BioX2015-59 PRMU2015-182
pp.99-104
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 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
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-23
14:25
Nara   Basic study on interactive segmentation of pancreases from abdominal CT images by use of the Graph cut technique with probabilistic atlases
Takenobu Suzuki, Hotaka Takizawa, Hiroyuki Kudo, Toshiyuki Okada (Tsukuba Univ.) PRMU2014-106 MVE2014-68
This paper proposes a method of interactive segmentation of pancreases in abdominal CT images based on the anatomical kn... [more] PRMU2014-106 MVE2014-68
pp.239-244
MI 2014-11-18
15:30
Hyogo   Basic study on statistical modeling of points, diaphragms, vessels and massiveness in abdominal CT images based on Isometric log-ratio transformation
Hiroki Mochizuki, Hotaka Takizawa, Hiroyuki Kudo, Toshiyuki Okada (Univ. of Tsukuba) MI2014-50
In this report, we propose a method of statistically analyzing the structures of points, diaphragms, vessels and massive... [more] MI2014-50
pp.39-42
MI 2014-01-26
16:35
Okinawa Bunka Tenbusu Kan Random-forest based spatial normalization using anatomical landmarks from CT images with unknown FOV
Kazuma Kikuchi, Toshiyuki Okada (Osaka Univ.), Shouhei Hanaoka, Yoshitaka Masutani (Univ. of Tokyo), Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2013-87
We have proposed the fully automated multi-organ segmentation using computational anatomy modelfrom abdominal CT images.... [more] MI2013-87
pp.169-173
MI 2014-01-27
15:30
Okinawa Bunka Tenbusu Kan Comparison of performance of feature representation methods for disease discrimination based on liver shape.
Keisuke Higashiura (Ritsumeikan Univ), Dipti Prasad Mukherjee (Indian Statistical Inst.), Toshiyuki Okada, Masatoshi Hori (Osaka Univ), Yen-Wei Chen (Ritsumeikan Univ), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ) MI2013-124
 [more] MI2013-124
pp.355-360
MI 2013-09-13
10:40
Chiba   Automated segmentation of hip and thigh muscles from CT data -- Improvement of statistical prediction using boundaries between individual muscles --
Mika Takaya, Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2013-39
 [more] MI2013-39
pp.15-18
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
MI 2013-01-24
10:50
Okinawa Bunka Tenbusu Kan Robust 3D kinematic analysis of artificial knee implants with statistical motion model
Ryogo Kamei (Ritsumei Univ.), Takaharu Yamazaki, Toshiyuki Okada, Noriyuki Fukuda, Kazuomi Sugamoto, Hideki Yoshikawa (Osaka Univ.), Yen-Wei Chen (Ritsumei Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-65
For 3D kinematic analysis of artificial knee implants, 2D/3D registration technique which uses X-ray fluoroscopic images... [more] MI2012-65
pp.19-24
MI 2013-01-24
17:05
Okinawa Bunka Tenbusu Kan Automated segmentation of the upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ inter-relations
Shunta Hirayama, Toshiyuki Okada, Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-91
We have studied the automatic segmentation of multi-organ region from abdominal CT images ever. In previous work, we hav... [more] MI2012-91
pp.149-154
MI 2013-01-24
17:20
Okinawa Bunka Tenbusu Kan Automated segmentation of diseased kidney by patient-specific statistical atlas based on hierarchical normalization
Noriyuki Fukuda, Masahiko Nakamoto, Toshiyuki Okada (Osaka Univ.), Osamu Ukimura, Inderbir S. Gill (USC.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-92
 [more] MI2012-92
pp.155-160
MI 2012-10-29
14:30
Yamaguchi Yamaguchi Univ. Utilization of knee motion model for automated knee implant kinematic analysis based on 2D/3D registration
Ryogo Kamei (Ritsumei Univ.), Takaharu Yamazaki, Toshiyuki Okada, Noriyuki Fukuda, Kazuomi Sugamoto, Hideki Yoshikawa (Osaka Univ.), Yen-Wei Chen (Ritsumei Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-57
To achieve 3D kinematic analysis of artificial knee implants, 2D/3D registration technique, which uses X-ray fluoroscopi... [more] MI2012-57
pp.49-54
MI 2012-07-20
10:30
Yamagata Yamagata Univ. Automated segmentation of hip and thigh muscles from CT data based on hierarchical multi-atlas label fusion -- An experimental study on the relationship between training set size and segmentation accuracy --
Mika Takaya, Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-31
Segmentation of the musculo-skeletal from 3D images is needed for patient-specific musculo-skeletal simulation. We propo... [more] MI2012-31
pp.53-58
PRMU, MI, IE 2012-05-17
16:15
Aichi   Disease discrimination based on disease subspace of organ shape using orthogonal complement of normal subspace
Keisuke Higashiura (Ritsumeikan Univ.), Dipti Prasad Mukherjee (Indian Statistical Inst.), Toshiyuki Okada (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Masatoshi Hori, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2012-25 PRMU2012-10 MI2012-10
 [more] IE2012-25 PRMU2012-10 MI2012-10
pp.51-56
PRMU, MI, IE 2012-05-18
14:00
Aichi   Automated anatomical labeling of vessels based on optimal path finding betwxeen great vessels and organs from multi-phase 3D CT -- Improvement of optimal path finding --
Yuki Suzuki, Toshiyuki Okada (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2012-32 PRMU2012-17 MI2012-17
A fully automated method is described for segmentation and anatomical labeling of the abdominal vessels from contrast-en... [more] IE2012-32 PRMU2012-17 MI2012-17
pp.91-96
MI 2012-01-19
11:20
Okinawa   Automated Musculoskeletal Segmentation from 3D CT Data of the Hip -- Segmentation of 18 individual muscles and muscle groups using a small number of training datasets based on hierarchical spatial normalization --
Mika Takaya (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-95
The objective of this study is an automatic segmentation of individual muscles and muscle groups of hip from 3D CT image... [more] MI2011-95
pp.97-102
MI 2012-01-19
16:15
Okinawa   Automated lung lobe segmentation from 3D chest CT images based on fissure enhancement and lobulation stastical shape model
Naomi Matsuo, Toshiyuki Okada, Shodayu Takashima, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-112
Understanding shape of lobulation is necessary for diagnosis and planning for limited surgery of lung cancer, but it is ... [more] MI2011-112
pp.191-196
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
 Results 1 - 20 of 49  /  [Next]  
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