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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
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 2009-01-20
09:30
Overseas National Taiwan University [Special Invited Talk] Trends in Research on CAD in Japan
Hidefumi Kobatake (Tokyo Univ. of Agriculture and Tech.) MI2008-106
A large research project on the subject of computer-aided diagnosis (CAD) entitled “Intelligent Assistance in Diagnosis ... [more] MI2008-106
pp.217-218
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
MI 2006-01-27
17:45
Okinawa Miyakojimashi-Chuo-Kouminkan Improvement of simultaneous segmentation of multi-organ based on estimation of feature distribution parameters
Rena Ohno, Hironori Sakurai (TUAT), Daniel Smutek (Charles Univ.), Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (National Cancer Center Hospital East)
In this paper, we present a simultaneous segmentation method for multi-organ in three dimensional abdominal CT images ba... [more] MI2005-106
pp.159-162
MI 2005-01-22
10:10
Okinawa Univ. of the Ryukus Development of segmentation method for 3D CT images based on multiple organ model collaboration
Takaya Ikegami, Tomohisa Yanagita, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (NCCHE)
This paper proposes a novel multiple level sets method based on minimization of energy function taking into account hier... [more] MI2004-83
pp.13-18
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