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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 15:22 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Prediction of Cancer Relapse for Non-Small Cell Lung Cancer Patients Using Clinical and Imaging Features Before Stereotactic Ablative Radiotherapy Takumi Kodama, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (Kyushu Cancer Center), Kenta Ninomiya (Sanford Burnham Prebys Med. Discov. Inst.), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (SAGA HIMAT)  MI2023-85 |
The aim of this study is to predict locoregional relapse and distant metastasis in stage I non-small cell lung cancer pa... [more] | MI2023-85 pp.173-175 |
| 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 |
| MI | 2023-03-07 17:29 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
High Accuracy Segmentation of trachea and bronchus using 3D U-Net Tatsuya Ogasa, Rikuto Kuroda, Yoshiki Kawata, Hidenobu Suzuki (Tokushima Univ), Yuzi Matsumoto, Takaki Tsuchida, Masahiko Kusumoto (NCC), Noboru Niki (Medical Science Institute Inc.) MI2022-128 |
High-Accuracy trachea and bronchus segmentation is required for lymph node analysis in lung cancer. Since manual segment... [more] | MI2022-128 pp.217-220 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 17:20 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
[Short Paper]
Bronchial classification of contrast 3D CT images using 3D U-Net Tatsuya Ogasa, Yoshiki Kawata, Hidenobu Suzuki (Tokushima Univ), Yuzi Matsumoto, Takaki Tsuchida, Masahiko Kusumoto (NCC), Noboru Niki (Medical Science Institute Inc.) SIP2022-31 BioX2022-31 IE2022-31 MI2022-31 |
[more] | SIP2022-31 BioX2022-31 IE2022-31 MI2022-31 pp.161-162 |
| MI | 2022-01-26 10:52 |
Online | Online | [Short Paper]
Mediastinal blood vessels segmentation of non-contrast CT images using 3D U-Net Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata (Tokushima Univ.), Toshihiko Sugiura, Nobuhiro Tanabe (Chiba Univ.), Yuji Matsumoto, Takaaki Tsuchida, Masahiko Kusumoto (National Cancer Center Hospital), Masahiro Kaneko (Tokyo Health Service Association), Noboru Niki (Medical Science Institute Inc.) MI2021-56 |
[more] | MI2021-56 pp.47-48 |
| MI | 2022-01-27 09:43 |
Online | Online | Support system for osteoporosis CT screening using 3D U-NET Yuta Miyazaki, Kazuki Miyake, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata (Tokushima Univ), Yuji Matsumoto, Takaaki Tsutida, Masahiko Kusumoto (National Cancer Center Central Hospital), Masahiro Kaneko (Tokyo Metropolitan Association of Preventive Medicine), Noboru Niki (Institute of Medical Science, Inc.) MI2021-69 |
[more] | MI2021-69 pp.104-105 |
| MI | 2021-03-16 10:15 |
Online | Online | [Short Paper]
Association analysis of SNPs with emphysema progression on long-term follow-up CT images Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Issei Imoto (Aichi Cancer Center Research Institute), Masahiko Kusumoto (NCCH), Yasutaka Nakano (Shiga Univ. of Medical Science), Masahiro Kaneko (Tokyo Health Service Association) MI2020-68 |
[more] | MI2020-68 pp.90-91 |
| MI | 2021-03-17 10:15 |
Online | Online | Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2020-88 |
We describe a bleeding region segmentation method using cascade CNN from laparoscopic images. In order to support laparo... [more] | MI2020-88 pp.172-175 |
| 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 | 2020-01-29 16:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2019-94 |
This paper proposes a surgical tool segmentation method from laparoscopic images using image synthesis and deep learning... [more] | MI2019-94 pp.129-134 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Bleeding area segmentation from laparoscopic video based on U-Net for laparoscopic surgery support Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu, Takuya Ozawa (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (Cancer Center), Kensaku Mori (Nagoya Univ.) MI2019-115 |
This paper reports a bleeding region segmentation method in laparoscopic videos based on U-Net for laparoscopic surgery ... [more] | MI2019-115 pp.209-214 |
| 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 |
|
| 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 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 11:30 |
Okinawa | [Short Paper]
Development of artificial calcifications shadow for breast cancer Motoaki Hirano, Hideya Takeo, Kazuya Abe (Kanagawa Inst. of Tech.), Yuuich Nagai (National Cancer Center East), Yoshinori Kuroki (Nimura Hospital), Sigeru Nawano (International Medical Welfare Univ. Mita Hospital) MI2017-70 |
[more] | MI2017-70 pp.27-28 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:40 |
Okinawa | [Poster Presentation]
Improvement of surgical field retrieval for intelligent laparotomy video archive
-- Validation of registration accuracy by FFD -- Takayuki Kitasaka, Toi Okuda, Jun Sato, Masahito Toyoda, Hiroaki Sawano, Yasuhito Suenaga (Aichi Inst. of Tech.), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2017-72 |
For learning the laparotomy, videos which are captured real laparotomy are used as a text. There is a problem in such vi... [more] | MI2017-72 pp.31-32 |
|
| 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 | 2016-01-19 10:36 |
Okinawa | Bunka Tenbusu Kan | Automated Anatomical Labeling of Abdominal Arteries and Hepatic Portal System Using Conditional Random Fields Mitsuru Kagajo, Yukitaka Nimura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (Aichi Cancer Center Hospital), Kenasaku Mori (Nagoya Univ.) MI2015-76 |
[more] | MI2015-76 pp.19-24 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | Microstructure analysis of the pulmonary acinus using a synchrotron radiation CT with contrast agent Kohki Maeda, Koichi Minami, Yosiki Kawata, Noboru Niki (Tokushima Univ.), Keiji Umetani (Synchrotron Research Institute), Yasutaka Nakano (Shiga Univ. of Medical Science), Hiroaki Sakai (Hyogo AGMC), Hironobu Ohmatsu (National Cancer Center Hospital), Harumi Itoh (Fukui Univ.) MI2015-134 |
The conversion of images at micro level of the normal lung and those with very early stage lung disease and the quantita... [more] | MI2015-134 pp.301-303 |
| 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 |
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