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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, MICT [detail] 2019-11-05
13:20
Ibaraki Univ. of Tsukuba A method for extracting the boundary surface of an internal organ from 3D-CT image
Shoma Kitamiya, Hotaka Takizawa, Kazuhiro Fukui (Univ. of Tsukuba) MICT2019-29 MI2019-56
Active contour models has been widely used to extract the contour of an
internal organ in medical image analysis. In th... [more]
MICT2019-29 MI2019-56
pp.19-24
MI 2019-01-23
11:40
Okinawa   Influence of group normalization in multi-class organ segmentation of abdominal CT volumes
Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2018-94
Organ segmentation is one of the most important branches of medical image analysis. Fully convolutional networks (FCNs) ... [more] MI2018-94
pp.143-148
MI, MICT 2017-11-06
10:40
Kagawa Sunport Hall Takamatsu On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-29 MI2017-51
Deep learning-based methods achieved impressive results in segmentations from medical images. With the development of 3D... [more] MICT2017-29 MI2017-51
pp.15-20
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
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
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 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
MBE 2012-10-11
13:00
Osaka Osaka Electro-Communication University Improvement of heart model constructing system from MR images and application to cardiac mechanics simulation
Tohru Suzuki, Guo Qinglian, Masahiro Seto (KIT), Shin Inada, Kazuo Nakazawa (NCVC), Toshiaki Akita (KMU), Masashi Yamabe (KIT) MBE2012-40
There have been many studies in which computer models were used to help the diagnosis and treatment of the cardiovascula... [more] MBE2012-40
pp.23-28
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 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
PRMU, IE, MI 2009-05-28
11:00
Gifu Gifu Univ. Registraetion of Non-Rigit Surface in Medical Image Based on Probabilistic Estimation of Feature-Points' Locations
Wataru Watanabe, Hidekata Hontani (NITech), Tohoru Takeda (Tsukuba Univ.), Yorihisa Watanabe (Yamagata Saisei Hospital) IE2009-16 PRMU2009-7 MI2009-7
This article proposes a new method for registering a surface of an organ in a 3D medical image with a surface mesh model... [more] IE2009-16 PRMU2009-7 MI2009-7
pp.35-40
MI 2008-07-17
11:10
Hokkaido Sapporo Medical University [Tutorial Lecture] The Use of Anatomical Knowledge in Organ Segmentation of Medical Images
Akinobu Shimizu (Tokyo Univ. of Agriculture and Technology) MI2008-30
This lecture presents several algorithms to use anatomical knowledge in organ segmentation of medical images. First I fo... [more] MI2008-30
pp.57-58
MI 2008-01-25
10:50
Okinawa Naha-Bunka-Tenbusu Hierarchal Standardization of Abdominal Cavity for Multiple Organ Segmentation in 3D Abdominal CT Image
Motoki Kubo, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake (TUAT), Shigeru Nawano (Center for Radiological Sciences, IUHW) MI2007-67
In this paper, we describe a hierarchal standardization method of abdominal cavity for multiple organ segmentation in th... [more] MI2007-67
pp.21-28
PRMU, MI 2007-05-24
10:00
Mie Mie Univ. Development of Medical Image Registration Method based on Anatomical Information
Chuya Fukuda, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Noboru Oriuchi, Keigo Endo (GU) PRMU2007-4 MI2007-4
Most of the medical image registration methods between the images taken by different modalities are based on Mutual Info... [more] PRMU2007-4 MI2007-4
pp.17-22
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
 Results 1 - 15 of 15  /   
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