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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 | 2020-01-30 14:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Report on MICCAI 2019 Masahiro Oda, Hayato Itoh (Nagoya Univ.), Shoko Miyauchi, Ken'ichi Morooka (Kyusyu Univ.), Hirotaka Matsuzaki (National Cancer Center Hospital East), Shohei Hanaoka (Tokyo Univ. Hospital), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.) MI2019-117 |
In this paper, the outlines of MICCAI 2019 main conference sessions and workshops are introduced. A few interesting repo... [more] | MI2019-117 pp.219-226 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 16:10 |
Okayama | [Short Paper]
Quantitative evaluation of lymph nodes in colorectal cancer using 3-phase abdominal CT images Ren Nishimoto, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Gen Iinuma (NCC) PRMU2019-14 MI2019-33 |
“Presence / absence of lymph node metastasis” is an important indicator in staging of colorectal cancer. In this study, ... [more] | PRMU2019-14 MI2019-33 pp.15-18 |
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| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 10:40 |
Kagoshima | Kagoshima University | Image quality evaluation of low contrast CT images using moving average filters Keisuke Fujii (Nagoya Univ./NCCHE), Kuniharu Imai, Mitsuru Ikeda, Chiyo Yamauchi-Kawaura (Nagoya Univ.), Keiichi Nomura, Yoshihisa Muramatsu, Hiroyuki Ota (NCCHE) IMQ2018-60 IE2018-144 MVE2018-91 |
Image contrast and noise are one of important indices for evaluating image quality of low contrast CT images such as abd... [more] | IMQ2018-60 IE2018-144 MVE2018-91 pp.209-212 |
| 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 11:40 |
Okinawa | Influence of group normalization in multi-class organ segmentation of abdominal CT volumes Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2018-94 |
Organ segmentation is one of the most important branches of medical image analysis. Fully convolutional networks (FCNs) ... [more] | MI2018-94 pp.143-148 |
|
| MI | 2019-01-23 14:00 |
Okinawa | Unsupervised Shadow Detection for Ultrasound Images by Deep Learning Suguru Yasutomi (FLL), Akira Sakai (FATEC), Masaaki Komatsu (Riken), Ryu Matsuoka, Reina Komatsu, Tatsuya Arakaki, Mayumi Tokunaka (Showa-U), Hidenori Machino, Kazuma Kobayashi (NCC), Ken Asada (Riken), Syuzo Kaneko (NCC), Akihiko Sekizawa (Showa-U), Ryuji Hamamoto (Riken) MI2018-96 |
Medical ultrasound is widely used for diagnosing internal organs since it is non-invasive. Shadows are often appear in u... [more] | MI2018-96 pp.151-156 |
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| MI | 2019-01-23 14:00 |
Okinawa | [Short Paper]
A Lung Cancer Risk Prediction Model based on Clinical Information and Chest CT Images Analyses Takeru Kageyama, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Masahiko Kusumoto (National Cancer Center), Hironobu Ohmatsu (Abashiri Prison), Yoshiki Aokage, Takaaki Tsuchida, Yuji Matsumoto (National Cancer Center), Kenji Eguchi (Teikyo Univ.), Masahiro Kaneko (Tokyo Health Service Association Health Support Center) MI2018-98 |
Lung cancer accounts for the number of cancer deaths first, and it is on an increasing trend. Although lung cancer CT sc... [more] | MI2018-98 pp.161-163 |
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| MI | 2019-01-23 14:00 |
Okinawa | [Short Paper]
Analysis of regional lymph node in rectal cancer with 3-phase abdominal contrast CT image Ren Nishimoto, Keisuke Bando, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Gen Iinuma (National Cancer Center Hospital) MI2018-100 |
The number of fatal cases of colorectal cancer patients in Japan is increasing year by year. For colorectal cancer stagi... [more] | MI2018-100 pp.169-171 |
|
| 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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| MICT, MI | 2018-11-06 10:20 |
Hyogo | University of Hyogo | [Short Paper]
Kazuki Matsushita, Masaya Iwasaki, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Gen Iinuma (National Cancer Center Hospital) MICT2018-41 MI2018-41 |
[more] | MICT2018-41 MI2018-41 pp.17-20 |
| MI | 2018-09-28 15:40 |
Tokyo | Tokyo Women's Medical University | [Short Paper]
Takuka Ono (Chiba Univ.), Ahmed Afifi (Menoufia Univ.), Chisato Takada (Chiba Univ.), Yuji Nishizawa (National Cancer Center Hospital East), Yuichiro Yoshimura, Toshiya Nakaguchi (Chiba Univ.) MI2018-36 |
(To be available after the conference date) [more] | MI2018-36 pp.17-18 |
| 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 |
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| 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 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:15 |
Okinawa | Automated Multi-Organ Segmentation from CT Volumes Based on 3D U-Net and Fully Connected CRF using Geodesic Distance Kernel Ying Yang, Holger Roth, Masahiro Oda (Naogoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Naogoya Univ.) MI2017-88 |
[more] | MI2017-88 pp.75-80 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:30 |
Okinawa | A preliminary study on organ region localization using regression CNN Natsuki Shimizu, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2017-89 |
Recently, three dimensional CT volumes are widely used in treatment and diagnosis. Development of a computer-aided diagn... [more] | MI2017-89 pp.81-86 |
|
| MI, MICT | 2017-11-06 16:00 |
Kagawa | Sunport Hall Takamatsu | MICT2017-39 MI2017-61 |
[more] | MICT2017-39 MI2017-61 pp.65-66 |
| MI, MICT | 2017-11-06 16:20 |
Kagawa | Sunport Hall Takamatsu | [Short Paper]
Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Yasutaka Nakano (Shiga University of Medical Science), Masahiko Kusumoto (National Cancer Center Hospital East), Takaaki Tsuchida (National Cancer Center Hospital), Kenji Eguchi (Teikyo Univ), Masahiro Kaneko (Tokyo Health Service Association) MICT2017-40 MI2017-62 |
[more] | MICT2017-40 MI2017-62 pp.67-68 |
| 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 |
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