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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-06
16:38		 Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 An Investigation of Effectiveness of Organ Features in Automated Anatomical Labeling Using Graph Neural Networks
Tomoya Deguchi, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ/NII) MI2022-94		 In this study, we investigate important organ features for automated anatomical labeling of abdominal arteries using Gra... [more] MI2022-94
pp.105-110
MI 2021-03-17
10:30		 Online Online Study on automated anatomical labeling of abdominal arteries using Spectral-based Convolutional Graph Neural Networks
Yuta Hibi, Yuichiro Hayashi (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Hayato Itoh, Masahiro Oda (Nagoya Univ), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya University/NII) MI2020-89		 In this study, we report an automated anatomical labeling method of abdominal arteries using Spectral-based Convolutiona... [more] MI2020-89
pp.176-181
MI 2019-01-23
14:00		 Okinawa   Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation
Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ) MI2018-106		 In this paper, we improve automated anatomical labeling accuracy for the abdominal arteries by introducing data augmenta... [more] MI2018-106
pp.191-196
PRMU, BioX 2017-03-21
10:15		 Aichi   Automated Anatomical Labeling of Abdominal Arteries Using Conditional Random Fields With Contrast Sensitive Potentials
XiaoNan Zhang, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (Aichi Cancer Center Hospital), Kenasaku Mori (Nagoya Univ.) BioX2016-56 PRMU2016-219		 For safe and adequate laparoscopic abdominal surgery, it is important to have a clear grasp of the structures of the bl... [more] BioX2016-56 PRMU2016-219
pp.137-142
MI 2014-01-26
10:45		 Okinawa Bunka Tenbusu Kan Automated anatomical labeling of abdominal arteries and hepatic portal system by analyzing branching pattern
Tetsuro Matsuzaki, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. Tech.), Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2013-59		 Since abdominal blood vessels have complicated branching structures, understanding them is important to perform abdomina... [more] MI2013-59
pp.19-24
MI 2012-01-20
11:25		 Okinawa   A study on automated anatomical labeling to abdominal arteries in 3D abdominal CT images by using multil-class AdaBoost -- Improvement of classifiers of the artery names --
Bui Huy Hoang, Masahiro Oda, Yukitaka Nimura (Meidai), Takayuki Kitasaka (Aichi Institute of Technology), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Meidai) MI2011-148		 We have developed an automated anatomical labeling method for the abdominal arteries to support understanding of the str... [more] MI2011-148
pp.395-400
MI 2010-09-03
17:15		 Saitama   A study on automated anatomical labeling to abdominal arteries in 3D abdominal CT images by using multil-class AdaBoost
Bui Huy Hoang, Masahiro Oda (Meidai), Takayuki Kitasaka (Aikodai), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Meidai) MI2010-65		 This paper presents an improved method of an automated anatomical labeling of arteries extracted
from contrasted 3D CT ... [more]		 MI2010-65
pp.81-86
PRMU, IE 2008-03-10
13:10		 Ishikawa   A study on automated anatomical labeling of abdominal arteries extracted from 3D abdominal CT images
Taro Shinoda, Takayuki Kitasaka, Kensaku Mori, Yasuhito Suenaga, Kazunari Misawa, Michitaka Fujiwara (Nagoya Univ.) IE2007-284 PRMU2007-268		 This paper describes a method for labeling anatomical names of abdominal arteries extracted from 3D abdominal CT images.... [more] IE2007-284 PRMU2007-268
pp.145-150
MI 2005-01-22
17:50		 Okinawa Univ. of the Ryukus Identification of the liver segmental anatomy based on global location of peripheral portal venous branches using 3D CT data
Hiroyuki Yamamoto, Masatoshi Hori, Yoshinobu Sato, Takamichi Murakami, Hironobu Nakamura, Shinichi Tamura (Osaka Univ.) 		Understanding the structure and morphology of the hepatic vessels and approximation of liver segments is important for l... [more] MI2004-111
pp.169-174
 Results 1 - 9 of 9  /   
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