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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 86  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US
(Joint)
2023-12-23
09:40
Fukuoka   Effect of aneurysm at arterial bifurcation on pressure propagation
Naoki Hashimoto, Koki Akiyoshi, Mami Matsukawa (Doshisha Univ.) US2023-67
We have focused on changes in pulse waves measured at the carotid artery to detect a cerebral artery occlusion and cereb... [more] US2023-67
pp.63-67
MI 2023-03-06
14:20
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information
Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85
This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative ... [more] MI2022-85
pp.63-68
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
EA, US
(Joint)
2022-12-22
13:30
Hiroshima Satellite Campus Hiroshima [Poster Presentation] Effect of an aneurysm on the internal carotid artery on pressure wave propagation
Naoki Hashimoto, Toshikazu Miyawaki, Yu Jiahao, Mami Matsukawa (Doshisha Univ.) US2022-52
The purpose of this study is to develop a safe and simple method for evaluating cerebral aneurysms. For this reason, we ... [more] US2022-52
pp.10-14
MI 2022-01-26
10:00
Online Online MI2021-52 In this report, we propose a method for constructing a statistical intensity model of blood vessels in thoracic CT image... [more] MI2021-52
pp.39-40
MI 2022-01-27
15:22
Online Online Investigation on Blood Vessels Segmentation from Images of Mouse's Cranial Window Based on Deep Learning
Yunheng Wu, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takanori Takebe (TMDU), Kensaku Mori (Nagoya Univ.) MI2021-84
In this paper, we utilized the U-Net for blood vessels segmentation from stereo microscope images of mouse's cranial win... [more] MI2021-84
pp.174-179
EA, US
(Joint)
2021-12-22
15:50
Kumamoto Sojo University [Poster Presentation] Flow velocity distribution in curved artificial blood vessel model with stenosis
Toshikazu Miyawaki, Hiroto Shimizu, Naoki Hashimoto, Mami Matsukawa, Daisuke Koyama (Doshisha Univ.), Eriko Yamaguchi (NCVC), Kozue Saito (Nara Med. Univ.) US2021-53
The diagnosis of cerebral arterial stenosis is performed by measuring the peak systolic velocity (PSV) using the ultraso... [more] US2021-53
pp.31-34
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
MBE, NC 2019-10-11
16:20
Miyagi   Selection of ultrasmall superparamagnetic particles of iron oxide for vessel size imaging
Kazuhiro Nakamura (Akita Noken), Norihiro Katayama (Tohoku Univ), Minoru Osanai (Osaka Univ), Toshibumi Kinoshita (Akita Noken) MBE2019-36 NC2019-27
Vessel size imaging (VSI) was already reported based on transverse relaxation time images obtained from spin echo and gr... [more] MBE2019-36 NC2019-27
pp.37-40
US 2019-02-22
14:30
Kanagawa   Detection of a vessel mimicking lymph channel by contrast enhanced active Doppler ultrasonography
Saito Katsuya, Yoshida Kenji, Omura Masaaki, Tamura Kazuki, Yamaguchi Tadashi (Chiba Univ.) US2018-114
This report proposed a method for detecting lymph vessels, named contrast enhanced active Doppler ultrasonography(CEADUS... [more] US2018-114
pp.33-37
US 2019-02-22
14:55
Kanagawa   Influence of cell culture vessel on sound field -- Influence of vessel size on sound field --
Naoki Asaoka, Sakino Iwasiro, Shinichi Takeuchi (Toin Univ of Yokohama) US2018-115
We would like to irradiate to brain tumor cells which are adherent cells, ultrasound by control of the acoustic intensit... [more] US2018-115
pp.39-44
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
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
MW 2018-12-14
14:10
Kanagawa Kanagawa Univ. Investigation of micro sample heating for wide frequency band by open end coaxial irradiation system
Jun-ichi Sugiyama, Chika Sato (AIST) MW2018-135
When enzyme reaction is carried out under microwave irradiation, reaction selectivity and reaction rate improvement diff... [more] MW2018-135
pp.115-120
SAT, SANE
(Joint)
2018-02-23
09:30
Yamaguchi The Yamaguchi Chamber of Commerce and Industry The Satellite Communication Experiment on the Ocean
Norihiko Katayama, Naoko Yoshimura, Takashi Takahashi, Kazuyoshi Kawasaki, Tomoshige Kan, Toshio Asai, Akira Akaishi, Takuya Okura, Yuma Abe, Morio Toyoshima (NICT) SAT2017-64
Recently, the development of the technology for ocean resource exploration is advanced, and the satellite communication ... [more] SAT2017-64
pp.41-46
MI, MICT 2016-09-16
09:40
Tokyo Koganei Campus, Tokyo University of Agriculture and Technology MICT2016-34 MI2016-48 Segmentation of blood vessel method is an important task in the medical image processing. Doing a manual segmentation is... [more] MICT2016-34 MI2016-48
pp.7-8
MI 2016-07-26
10:30
Hokkaido Tomakomai Civic Hall Automatic blood vessel-based liver segmentation through the portal phase CT
Ahmed Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Tokushima University), Gen Iinuma (National cancer center hospital) MI2016-41
Blood vessel (BV) has showed high performance at liver segmentation achieving rank 1 on sliver07. This method was semi-a... [more] MI2016-41
pp.29-34
AP, SAT, SANE
(Joint)
2016-07-22
15:50
Hokkaido Otaru port marina The Satellite Communication Experiment using The Earth Station on Board Vessel for WINDS at The Sea
Norihiko Katayama, Akira Akaishi (NICT), Hideki Honda (JEPICO), Takashi Takahashi, Kazuyoshi Kawasaki, Toshio Asai, Naoko Yoshimura, Morio Toyoshima (NICT) SAT2016-31
Recently, the observation data transmission and the picture transmission for the monitoring of observation status are be... [more] SAT2016-31
pp.107-112
PRMU, BioX 2016-03-25
10:15
Tokyo   Vessel tracking from 3D CT images based on 2D cross-section analysis
Akira Uchida, Toshiyuki Okada, Hotaka Takizawa, Hiroyuki Kudo, Yukio Oshiro, Nobuhiro Okochi (Univ. of Tsukuba) BioX2015-59 PRMU2015-182
This paper proposes a segmentation method of complex vascular structures based on three-dimensional vessel tracking and ... [more] BioX2015-59 PRMU2015-182
pp.99-104
MI 2016-01-19
15:34
Okinawa Bunka Tenbusu Kan Improvement of Spatial Resolution and Quantitative Accuracy in MRI Quantitative Susceptibility Mapping for Investigating Neurodegenerative Diseases and Cerebral Functions.
Yuya Umemoto, Tomohiro Ueno, Shin-ichi Urayama, Toshihiko Aso, Hidenao Fukuyama, Naozo Sugimoto (Kyoto Univ.) MI2015-101
Quantitative Susceptibility Mapping (QSM) can quantify iron accumulation in a brain tissue and cerebral venous oxygen sa... [more] MI2015-101
pp.131-134
 Results 1 - 20 of 86  /  [Next]  
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