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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 35  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-15
15:30
Okinawa Hirara-kou Terminal Buildings
(Primary: On-site, Secondary: Online)
Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets
Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST)
 [more]
MI 2020-01-30
14:50
Okinawa OKINAWAKEN SEINENKAIKAN MR Imaging biomarkers for Prediction of Genetic Assessment for Breast Cancer Recurrence: A Radiogenomics Study
Taiguang Yuan, Ze Jin (Tokyo Tech), Yukiko Tokuda, Noriyuki Tomiyama, Yasuto Naoi (OU), Kenji Suzuki (Tokyo Tech) MI2019-118
 [more] MI2019-118
pp.227-230
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
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
15:15
Okinawa Bunka Tenbusu Kan Selection of Representative Cases for Constructing Statistical Atlas of Preoperative Total Hip Arthroplasty Planning -- Towards Rapid Adaptation to Different Types of Femoral Stem Implants --
Yuki Nakanishi (Kobe Univ.), Yoshiyuki Kagiyama (Univ. of Yamanashi), Futoshi Yokota, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2013-123
In order to adapt automated total hip arthroplasty planning to different types of femoral stem efficiently, we construct... [more] MI2013-123
pp.351-354
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 2014-01-27
15:45
Okinawa Bunka Tenbusu Kan Similar image search of diffuse lung diseases on 3D CT Images
Youhei Yamashita (Yamaguchi Univ.), Rui Xu (Ritsumeikan Univ.), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Tomoko Gyobu, Osamu Honda, Noriyuki Tomiyama (Osaka Univ.) MI2013-125
Diffuse lung diseases are widely distributed in the lungs. The radiologist uses the previous image when the diagnosis is... [more] MI2013-125
pp.361-364
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
PRMU, MI, IE 2013-05-24
14:15
Aichi   Segmentation of Acetabular Cartilage in CT Arthrography using Probabilistic Atlas Spatially Normalized by Pelvic Shape
Pooneh R.Tabrizi, Reza A.Zoroofi (Univ. of Tehran), Futoshi Yokota (Kobe Univ.), Toshiyuki Okada (Osaka Univ.), Yuki Nakanishi (Kobe Univ.), Satoru Tamura, Takashi Nishii, Hideki Yoshikawa, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2013-14 PRMU2013-7 MI2013-7
In this paper, we proposed a new hybrid algorithm to segment acetabular cartilage in the hip joint. This statistical and... [more] IE2013-14 PRMU2013-7 MI2013-7
pp.35-40
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
15:30
Aichi   An experimental study for automated training datasets generation in automated 3D planning in total hip arthroplasty
Yuki Nakanishi (Kobe Univ.), Yoshiyuki Kagiyama (Univ. of Yamanashi), Itaru Otomaru, Futoshi Yokota (Kobe Univ.), Masahiko Nakamoto, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2012-24 PRMU2012-9 MI2012-9
In this paper, we describe methods for automated bone segmentation and THA planning. The automated planning is formulate... [more] IE2012-24 PRMU2012-9 MI2012-9
pp.45-50
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
 Results 1 - 20 of 35  /  [Next]  
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