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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2019-01-22
15:20
Okinawa   A Study on Automated Lymph Node Matching Method Considering Abdominal Organs Deformation in Follow-up CT Volumes
Tachi Koki, Masahiro Oda, Yuichiro Hayashi, Hayato Itoh (Nagoya Univ.), Yoshihiko Nakamura (TNT), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2018-84
In this paper, we report on an automated lymph node matching method considering deformation of abdominal organs in follo... [more] MI2018-84
pp.97-102
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
10:05
Okinawa   A preliminary study on unsupervised registration with deep learning
Kai Nagara, Holger R. Roth, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2017-65
Registration is one of the important processes in medical image processing. Many researchers have proposed methods for r... [more] MI2017-65
pp.7-12
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Image registration for myocardial perfusion MRI to facilitate examing ischemic patients while breathing
Akihiro Manabe, Tetsuo Sato (NAIST), Tomohisa Okada (Kyoto Univ.), Shigehide Kuhara (TMSC), Kaori Togashi (Kyoto Univ.), Shigehiko Kanaya (NAIST), Kotaro Minato (ASTEM) MI2014-79
Myocardial Perfusion MRI (Magnetic Resonance Imaging) is one of the useful tools to examine ischemic heart disease. For ... [more] MI2014-79
pp.119-124
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
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
16:15
Tottori   3D human body model generation from multiple pose deformed depth images
Naoshi Kaneko, Tomohiko Saito, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2013-55 IBISML2013-35
We propose non-rigid registration algorithm for multiple human body depth images using Microsoft Kinect as a input devic... [more] PRMU2013-55 IBISML2013-35
pp.225-231
PRMU, MI, IE 2013-05-25
15:30
Aichi   Study on Spatial Connectivity of Likelihood Distribution for Registering Point Distribution Model to Images
Shin-ya Uto, Hidekata Hontani (Nagoya Inst. of Tech.) IE2013-25 PRMU2013-18 MI2013-18
We propose a non-rigid surface registration method for point distribution model, which considers spatial connectivity of... [more] IE2013-25 PRMU2013-18 MI2013-18
pp.85-88
MI 2010-01-29
11:40
Okinawa Naha-Bunka-Tenbusu Detecting diseases in Lung areas of FDG-PET images by using non-rigid registration and a subspace method
Natsuki Kano, Hidekata Hontani (Nagoya Inst. of Tech), Toru Takeda (Kitasato Univ.), Yorihisa Watanabe (Yamagata Saisei Hosp.) MI2009-129
The purpose of this research is developing a method for detecting tumors in chest region on given PET images. It is diff... [more] MI2009-129
pp.291-296
MI 2006-01-28
13:00
Okinawa Miyakojimashi-Chuo-Kouminkan Registration of pulmonary vessels for evaluating blood flow
Hidenori Shikata, Shoji Kido (Yamaguchi Univ.)
In this paper, an algorithm that generates a subtraction image between a non-contrast CT image and a contrast-enhanced C... [more] MI2005-141
pp.133-136
 Results 1 - 8 of 8  /   
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