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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-16 09:55 |
Miyazaki | KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
Numerical Abdominal Phantom for Implantable Human Body Communication Miyu Kodama, Dairoku Muramatsu (UEC)  SAT2024-3 MICT2024-3 |
In the evaluation of implantable human body communication focus on implantable medical devices, electromagnetic phantoms... [more] | SAT2024-3 MICT2024-3 pp.13-16 |
| MI | 2023-03-06 13:15 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80 |
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] | MI2022-80 pp.38-39 |
| 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 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:40 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] | SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 pp.150-155 |
| 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 | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113 |
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] | MI2019-113 pp.203-205 |
| MI | 2019-01-22 13:20 |
Okinawa | Deep learning-based segmentation of head anatomical structures using multi-modal images
-- Segmentation accuracy validation for training on a small amount of image data -- Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.) MI2018-77 |
This paper proposes a fully convolutional network-based method for segmenting head anatomical structures from multi-moda... [more] | MI2018-77 pp.65-70 |
|
| 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 | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | MI2016-92 |
This paper presents the improvement of the humerus recognition algorithm on a bone scintigram. Specifically, we report o... [more] | MI2016-92 pp.79-80 |
| SIS | 2016-12-08 17:10 |
Hiroshima | Hiroshima City Univ. | [Invited Talk]
MRI measurement of water diffusion in living body and its application for inferring anatomical structures Masutani Yoshitaka (Hiroshima City Univ.) SIS2016-41 |
Diffusion MRI data consists of diffusion-weighted images with several imaging parameters, enables us to infer microstruc... [more] | SIS2016-41 pp.71-72 |
| 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 | 2013-07-18 11:05 |
Miyagi | On Uncertainty of Anatomical Landmarks and Their Detectability by using Appearance Models Yoshitaka Masutani, Mitsutaka Nemoto, Shouhei Hanaoka, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo Hosipital) MI2013-21 |
The anatomical landmarks are defined at local structures with salient features such as projections on bones or bifurcati... [more] | MI2013-21 pp.13-16 |
|
| 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 12:50 |
Saitama | [Poster Presentation]
Study on anatomical landmark detection from CT images via three-dimensional SIFT Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ Tokyo) MI2010-59 |
Detection of anatomical landmarks on 3D medical images is an our recent research topic. The anatomical landmarks, which... [more] | MI2010-59 pp.49-54 |
|
| MI | 2010-09-03 14:40 |
Saitama | [Special Talk]
Analysis of Normal Brain Aging using Brain MRI Database of Japanese Subjects Hiroshi Fukuda (Tohoku Univ.) MI2010-61 |
Age-related change of the brain was analyzed using MRI database of the 2,500 Japanese subjects. The gray matter volume d... [more] | MI2010-61 pp.61-64 |
|
| 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 | 2007-09-20 11:20 |
Fukuoka | Kyushu Univ. | A method for dividing the lung into bronchopulmonary segments based on bronchial tree analysis Takayuki Kitasaka, Yuichi Nakada, Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Hirotoshi Honma (Sapporo Medical Univ.), Hirotsugu Takabatake (Sapporo Minami-Sanjo Hospital), Masaki Mori (Sapporo Kosei-General Hospital), Hiroshi Natori (Nishioka Hospital) MI2007-40 |
This paper describes a method for dividing lung regions into bronchopulmonary segments based on bronchial structure anal... [more] | MI2007-40 pp.29-32 |
| 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 |
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