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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| US | 2019-02-22 16:50 |
Kanagawa | Three dimensional extension of blood vessel network by combining multiple ultrasound volumes from different directions Ikumu Yasuda, Takuya Katai, Kosuke Watanabe, Kansai Okadome (Tokyo Univ. A&T), Yoshihiro Edamoto (Higashi-Saitama Hospital), Kohji Masuda (Tokyo Univ. A&T) US2018-119 |
In this study, we aim to reconstruct a wide range of blood vessel network by extending the ultrasound volume taken from ... [more] | US2018-119 pp.57-60 |
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| 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 |
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| 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 | 2012-10-29 15:15 |
Yamaguchi | Yamaguchi Univ. | A study of extraction of vascular structures from gray scale image of the ear of the rabbit Yuki Oshiumi, Katsuya Nagayama (kyutech) MI2012-60 |
We’ve been working on the coupled analysis on tumor growth and angiogenesis. By angiogenesis algorithm to construct, we ... [more] | MI2012-60 pp.65-66 |
| MI | 2010-01-29 09:30 |
Okinawa | Naha-Bunka-Tenbusu | Blood Vessel Segmentation using Intensity Structures Analysis based on Spherical Harmonic Function Yukitaka Nimura (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kensaku Mori (Nagoya Univ.) MI2009-120 |
Blood vessel is one of the important organ in diagnosis, therapy and surgery. For decision of the treatment strategy, gr... [more] | MI2009-120 pp.241-246 |
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