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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-17
10:45
Online Online [Short Paper] Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN
Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] MI2020-90
pp.182-185
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 2016-01-20
09:32
Okinawa Bunka Tenbusu Kan Automatic extraction of intrahepatic bile duct based on features from dual-energy CT images
Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Yuichiro Hayashi, Tsuyoshi Igami, Masato Nagino, Kensaku Mori (Nogoya Univ.) MI2015-112
In this paper, we present our feasibility study on the intrahepatic bile duct (IHBD) extraction using dual-energy CT (DE... [more] MI2015-112
pp.187-192
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan Abdominal Blood Vessel Analysis using Contrast Enhanced CT Images -Artery, Portal and Delay Phases-
Takatoshi Kakeda, Ryota Imura, Kosuke Ozawa, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Simada (Tokushima Univ), Gen iinuma (National Cancer center Hospital) MI2015-122
In Japan, the death rate of the colon cancer increases every year. In the death of the colon cancer, women are ranked fi... [more] MI2015-122
pp.237-240
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Landmark detection method by vertebral segmentation in abdominal X-ray CT images
Tatsuya Yasuda, Toshiaki Okumura (NIT Sendai), Hotaka Takizawa (Univ. of Tsukuba) MI2014-68
In this paper, we propose a method for detecting 12th thoracic vertebra (T12) as an anatomical landmark from abdominal X... [more] MI2014-68
pp.77-82
MI 2015-03-03
13:40
Okinawa Hotel Miyahira Investigation of colonoscope navigation system based on haustral fold detection method
Hiroaki Kondo, Masahiro Oda, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Technology), Kensaku Mori (Nagoya Univ.) MI2014-102
In this paper, we propose an estimation method of a colonoscope tip position in the colon by using a CT volume and colon... [more] MI2014-102
pp.237-242
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 2014-09-02
10:15
Tokyo The Institute of Statistical Mathematics Proposal of an algorithm for simultaneous optimization of segmentation and a shape prior and its application to pancreas segmentation
Atsushi Saito (TUAT), Shigeru Nawano (IUHW), Akinobu Shimizu (TUAT) MI2014-35
A statistical shape model (SSM) plays an important role to provide a shape prior for organ segmentation, such as graph c... [more] MI2014-35
pp.1-5
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Abdomial blood vessel extraction algorithm using contrast-enhanced CT image
Yusuke Yamauchi, Yohei Kawano, Ahmed Shawky Mohamed Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Toru Utsunomiya, Mitsuo Shimada (Univ. of Tokushima) MI2013-71
It is extremely important to diagnose presence, the level, and the state of the metastasis in lymph nodes in diagnosing ... [more] MI2013-71
pp.83-84
MI 2013-07-18
13:45
Miyagi   Development of colonoscope tracking method by using 3D abdominal CT images and electromagnetic sensors
Hiroaki Kondo, Masahiro Oda, Kazuhiro Furukawa, Ryoji Miyahara (Nagoya Univ.), Yoshiki Hirooka (Nagoya Univ. Hospital), Hidemi Goto (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. Tech.), Kensaku Mori (Nagoya Univ.) MI2013-24
Recently, colon diagnosis method using CT volume, which is called as CT colonography, is widely used. Lesions found by C... [more] MI2013-24
pp.27-32
PRMU, MI, IE 2013-05-24
16:45
Aichi   A method for automated extraction of biliary tract from 3D abdominal contrast CT images based on local intensity structure analysis
Kusuto Koga, Yuichiro Hayashi, Tomoaki Hirose, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Tsuyoshi Igami, Masato Nagino, Kensaku Mori (Nagoya Univ.) IE2013-18 PRMU2013-11 MI2013-11
In this paper, we propose a method for automated extraction of the biliary tract from abdominal contrast CT volumes base... [more] IE2013-18 PRMU2013-11 MI2013-11
pp.55-60
MI 2013-01-24
13:10
Okinawa Bunka Tenbusu Kan Development of virtual unfolded view generation system of the stomach from 3D abdominal CT images
Tomoaki Suito, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Gen Iinuma (NCC), Kazunari Misawa (ACC), Shigeru Nawano (IHW), Kensaku Mori (Nagoya Univ.) MI2012-81
This paper describes an improved method of a virtual unfolded view generation system of the stomach from 3D abdominal CT... [more] MI2012-81
pp.99-104
MI 2012-01-19
11:20
Okinawa   A study on the deformation of virtual pneumoperitoneum procedure by utilizing the Newmark-β method
Jiadi Qu, Yukitaka Nimura, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Technol.), Kazunari Misawa (Aichi Cancer Center Hosp.), Kensaku Mori (Nagoya Univ.) MI2011-90
This paper describes a method of the deformation of abdominal wall for virtual pneumoperitoneum procedure by utilizing t... [more] MI2011-90
pp.71-75
MI 2012-01-20
11:25
Okinawa   Detection of the liver hemangioma from 3D abdominal CT images by using local intensity features and multi-class classifier
Yoshitaka Sakamoto, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Shigeru Nawano (IHW), Kensaku Mori (Nagoya Univ) MI2011-146
In this paper, we propose a method for detecting hemangioma from four-phases contrasted 3D abdominal CT images.
In our ... [more]
MI2011-146
pp.383-388
PRMU, IE, MI 2010-05-13
10:00
Aichi Chubu Univ. Development of colon registration method using haustral folds and feature points from 3D abdominal CT images
Eiichiro Fukano, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka, Yasuhito Suenaga (AIT), Tetsuji Takayama (The University of Tokushima), Hirotsugu Takabatake (Sapporo-Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Shigeru Nawano (International University of Health and Welfare Mita Hospital), Kensaku Mori (Nagoya Univ.) IE2010-16 PRMU2010-4 MI2010-4
This paper proposes a method to make correspondence between supine-prone positions of colon.
Physicians take CT images ... [more]
IE2010-16 PRMU2010-4 MI2010-4
pp.19-24
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
MI 2008-07-17
13:10
Hokkaido Sapporo Medical University Haustral fold detection method based on local intensity structure analysis from 3D abdominal CT images
Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Nagoya Univ./Aichi Institute of Technology), Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Tetsuji Takayama (Univ. of Tokushima), Hirotsugu Takabatake (Sapporo-Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Shigeru Nawano (International University of Health and Welfare Mita Hospital) MI2008-31
This paper proposes a haustral fold detection method based on local intensity structure analysis for supine-prone regist... [more] MI2008-31
pp.59-64
PRMU, IE, MI 2008-05-22
14:35
Aichi Aichi University of Technology Extraction algorithm of enlargement lymph nodes using abdominal CT datasets
Fumiaki Masakiyo (tokushima Univ./Kinki Univ. Tech. College/Tokushima Univ.), Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Masanori Nishioka, Hidenori Miyamoto, Kozo Yoshikawa, Mitsuo Shimada, Hiromu Nishitani (Tokushima Univ.) IE2008-24 PRMU2008-10 MI2008-10
Since a wide lymph node dissection can be omitted if there are no lymph node metastases that cancer cells metastasize to... [more] IE2008-24 PRMU2008-10 MI2008-10
pp.55-58
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
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