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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 13:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-Organ Segmentation from 3D Abdominal CT Images Using Blood Vessel Enhanced Images and AutoML Mana Ohno, Shen Chen (Nagoya Univ.), Holger R. Roth (NVIDIA Corp.), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.)  MI2023-78 |
Multi-organ segmentation is an essential method for the development of computer-aided diagnosis and surgery systems. In ... [more] | MI2023-78 pp.152-155 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113 |
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] | MI2019-113 pp.203-205 |
| 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 |
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| MI | 2015-03-02 16:24 |
Okinawa | Hotel Miyahira | Segmentation of Organ Regions in Medical Images using Hierarchical Active Shape Models Shohei Kamiya, Hidekata Hontani (NIT) MI2014-85 |
In this article, the authors report on a hierarchical parametric Active Shape Model (ASM). Different from conventional A... [more] | MI2014-85 pp.147-150 |
| MI | 2015-03-02 16:36 |
Okinawa | Hotel Miyahira | Eliminations of dura maters from MR Images using probablistic atlas and graph cut technique Shin-ya Uto, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2014-86 |
This study aims at proposing algorithm that liminate the dura maters in brain MR images accurately. Ordinary methods oft... [more] | MI2014-86 pp.151-155 |
| 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 |
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| MI | 2014-09-02 10:45 |
Tokyo | The Institute of Statistical Mathematics | A Study on Preprocessing for Organ Region Segmentation
-- Application of superpixels and of saliency detection -- Yushi Deura, Naoki Kawamura, Mitsunori Yamada, Hidekata Hontani (Nagoya Inst. of Tech.) MI2014-36 |
In this study, the authors study preprocessing for segmenting organ regions in medical images. Many researches of organ... [more] |
MI2014-36 pp.7-11 |
| 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 | 2013-12-12 17:20 |
Mie | Occlusion boundary detection based on contour shape classifiers Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2013-77 |
Image segmentation is one of the basic problems for image understanding. We focus on detecting occlusion boundaries whic... [more] | PRMU2013-77 pp.55-59 |
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| MI | 2013-09-13 09:25 |
Chiba | Quantitative Evaluation of the Amount of Information Obtained by Feature Extraction Operators in Organ Surface Registration Takayuki Nakane, Yoshihiro Tsutsumi, Hidekata Hontani (Nagoya Inst. of Tech.) MI2013-36 |
In this article, we propose a method that quantitatively evaluates the amount of information obtained by a probabilisti... [more] |
MI2013-36 pp.1-4 |
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| MI | 2013-07-18 11:35 |
Miyagi | Registalation of Organs for Partial Medical Image Yoshiki Kamiya, Hidekata Hontani (NIT) MI2013-22 |
In this article, we propose a method that can register a surface model to given partial images. Most of all registration... [more] | MI2013-22 pp.17-21 |
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| 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 |
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| 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 |
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| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-20 09:50 |
Shiga | 3D Visualization of Liver and Its Vascular Structures and Surgical Planning System Tomoko Tateyama, Tsukasa Shindo (Ritsumeikan-univ), Amir Hossein Foruzan (Univ. of Tehran), Shinya Kohara, Motoi Kinishi, Chen-Lun Lin, Yu Masuda (Ritsumeikan-univ), Masaki Kaibori, Masanori Kon (Kansai Medical Univ.), Yen-Wei Chen (Ritsumeikan-univ) PRMU2010-155 MVE2010-80 |
Computer Assisted Diagnosis/Surgery systems provide an indisputable effect on the diagnosis and surgery of hepatic dise... [more] |
PRMU2010-155 MVE2010-80 pp.33-38 |
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| MI | 2010-07-09 17:00 |
Tokushima | Tokusima Univ. Kogyo-Kaikan Bldg. | Validating Segmentation of Diseased Hip CT Images Using Hierarchical Statistical Shape Model Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-48 |
Segmentation of the femur and pelvis from 3D CT data is prerequisite of patient specific planning and simulation for hip... [more] | MI2010-48 pp.63-68 |
| MI | 2010-01-28 17:25 |
Okinawa | Naha-Bunka-Tenbusu | Multi-organ extraction based on searching similar CT images using abdominal 3D-CT image database and image registration Hiroki Mori, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kazunari Misawa (Aichi Cancer Center), Michitaka Fujiwara (Nagoya Univ.), Shigeru Nawano (Int'l Univ. of Health and Welfare), Daniel Rueckert (Imperial College London), Kensaku Mori (Nagoya Univ.) MI2009-116 |
This paper proposes an automated abdominal organ segmentation method based on similar image searching and deformation. I... [more] | MI2009-116 pp.217-222 |
| IE, ITS, ITE-HI, ITE-ME, ITE-AIT | 2009-02-05 16:10 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | Image Segmentation Based on Color Quantization Using Self-Organizing Map Shota Izumi, Akihiro Tabata, Junji Maeda (Muroran Inst. of Tech.) ITS2008-77 IE2008-247 |
This paper presents the color quantization of an image using a self-organizing map (SOM) and image segmentation. We tr... [more] |
ITS2008-77 IE2008-247 pp.245-250 |
| ITE-ME, ITS, IE, ITE-HI, ITE-AIT | 2007-02-22 11:15 |
Hokkaido | Hokkaido University | Image Segmentation Based on Color Quantization Using Hierarchical Self-Organization Map Hiroyuki Furukawa, Masayuki Matsunaga, Junji Maeda (Muroran IT) |
This paper presents the color quantization using a self-organizing map (SOM) and image segmentation. We try to implement... [more] | ITS2006-46 IE2006-231 pp.17-22 |
| NC | 2007-01-26 13:30 |
Hokkaido | Noboribetsu Manseikaku(Noboribetsu) | Image Segmentation Using Color Quantization By Self-Organizing Map Masayuki Matsunaga, Junji Maeda (Muroran I.T.) |
This paper presents the color quantization using a self-organizing map (SOM) and image segmentation．We try to implement ... [more] | NC2006-108 pp.47-52 |
| PRMU, MI | 2005-05-20 10:00 |
Aichi | Nagoya Institute of Technology | Multi-organ extraction method from three dimensional abdominal CT images using digital atlas of human anatomy and its performance evaluation Akinobu Shimizu, Hironori Sakurai, Tomohisa Yanagita, Hidefumi Kobatake (Tokyo Univ. of Agri. and Tech.), Shigeru Nawano (National Cancer Center Hospital East) |
This paper describes a multi-organ extraction method based on digital atlas of human anatomy and the results of performa... [more] | PRMU2005-15 MI2005-15 pp.7-12 |
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