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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 10:22 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.)  MI2023-68 |
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] | MI2023-68 pp.117-118 |
| 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, MICT | 2023-11-14 09:30 |
Fukuoka | Facial Symmetry Analysis Based on Extraction of Lip Region from 4D Data Narumi Kihara (KIT), Namiko Kimura-Nomoto, Takako Okawachi (Kagoshima Univ.), Guangxu Li (Tiangong Univ.), Norifumi Nakamura (Kagoshima Univ.), Tohru Kamiya (KIT) MICT2023-25 MI2023-18 |
We propose an image processing method using 4D data (3D point cloud containing temporal changes) to quantitatively evalu... [more] | MICT2023-25 MI2023-18 pp.1-4 |
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| PRMU | 2022-12-16 14:40 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Data Augmentation Shumpei Takezaki (Kyushu Univ.), Kiyohito Tanaka (Kyoto Second Red Cross Hospital), Seiichi Uchida, Takeaki Kadota (Kyushu Univ.) PRMU2022-50 |
Disease severity regression by a convolutional neural network (CNN) for medical images requires a sufficient number of i... [more] | PRMU2022-50 pp.95-99 |
| MICT, MI | 2022-11-18 10:30 |
Aichi | Nagoya Institute of Technology | A Quantitative Study on AVF Thrill Using Non-Contact Measurement Takunori Shimazaki (Jikei Univ. of Health Sci.), Rumi Iwai (Hyogo Medical University Hosp.), Yoshifumi Kawakubo (Jikei Univ. of Health Sci.), Jun Mitsudou, Yuuhei Hayashi (Leimac), Shingo Ata (Osaka Met Univ.), Takeshi Yokoyama (Kyushu Univ.), Daisuke Anzai (Nagoya Tech Univ.) MICT2022-34 MI2022-63 |
An arteriovenous fistula (AVF) is a specialized vessel created by anastomosing arteriovenous vessels. Hemodialysis thera... [more] | MICT2022-34 MI2022-63 pp.1-5 |
| MI | 2022-09-15 11:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka (Okayama Univ.), Yuho Ebata (Kyushu Univ.), Hirofumi Hasuda (NHOKMC), Shoko Miyauchi, Ota Mitsuhiko (Kyushu Univ.) MI2022-54 |
Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esop... [more] | MI2022-54 pp.26-27 |
| PRMU | 2020-10-09 10:00 |
Online | Online | Endoscopy image analysis Takeaki Kadota, Kentaro Abe, Ryoma Bise (Kyushu Univ.), Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka (Japanese Red Cross Kyoto Daini Hospital), Seiichi Uchida (Kyushu Univ.) PRMU2020-18 |
(To be available after the conference date) [more] | PRMU2020-18 pp.1-5 |
| PRMU | 2020-10-09 10:15 |
Online | Online | Disentangled Representation Learning for Mayo Classification of Endoscopic Images Shota Harada, Hideaki Hayashi (Kyushu Univ.), Ryoma Bise (Kyushu Univ./NII), Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka (Japanese Red Cross Kyoto Daini Hospital), Seiichi Uchida (Kyushu Univ./NII) PRMU2020-19 |
[more] | PRMU2020-19 pp.6-9 |
| 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 |
| MI | 2020-01-30 15:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Short Paper]
3D Brain Atlas Construction from Single Japanese Cadaver Brain Yota Noda, Ken'ichi Morooka (Kyushu Univ.), Yasushi Miyagi (Fukuoka Mirai Hospital), Takaichi Fukuda (Kumamoto Univ.), Shoko Miyauchi, Ryo Kurazume (Kyushu Univ.) MI2019-119 |
We have been constructing the 3D brain atlas from a single Japanese cadaver brain. In constructing the atlas, a 3D digit... [more] | MI2019-119 pp.231-234 |
| MI | 2020-01-30 15:10 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120 |
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] | MI2019-120 pp.235-236 |
| PRMU | 2019-12-19 13:30 |
Oita | PRMU2019-50 |
We propose a new problem setting and method that uses cancer type ratio as weak supervision for semi-supervised learning... [more] | PRMU2019-50 pp.23-27 |
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| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 15:55 |
Okayama | PRMU2019-13 MI2019-32 |
(To be available after the conference date) [more] | PRMU2019-13 MI2019-32 pp.9-13 |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:00 |
Okayama | [Short Paper]
Soft-constrained clustering for facilitating image labeling Ryoma Bise, Kentaro Abe, Hideaki Hayashi (Kyushu Univ.), Kiyohito Tanaka (Kyoto Second Red Cross Hospital), Seiichi Uchida (Kyushu Univ.) PRMU2019-21 MI2019-40 |
(To be available after the conference date) [more] | PRMU2019-21 MI2019-40 pp.53-56 |
|
| SIP, MI, IE | 2019-05-24 14:50 |
Aichi | Fetal state estimation based on Cardiotocogram classification Shota Harada, Hideaki Hayashi (Kyushu Univ.), Shunsuke Koga (Kyushu Medical Center), Daisuke Shigemi (Obex), Aayako Shibata (Yodogawa Christian Hospital), Masayoshi Yoshida (Hakataminami building Naika Clinic), Yasuyuki Hasuo (Kyushu Medical Center), Seiichi Uchida (Kyushu Univ.) SIP2019-14 IE2019-14 MI2019-14 |
Cardiotocogram (CTG) is a recording of fetal heart rate and uterine contraction pressure over time, and is used clinical... [more] | SIP2019-14 IE2019-14 MI2019-14 pp.61-63 |
|
| MI | 2019-01-22 14:50 |
Okinawa | [Short Paper]
Towards Annotating Less Medical Images:
-- PGGAN-based MR Image Augmentation for Brain Tumor Detection -- Changhee Han (UTokyo), Hideaki Hayashi (Kyushu Univ.), Leonardo Rundo (Univ. Cambridge), Ryosuke Araki (Chubu Univ.), Yudai Nagano (UTokyo), Yujiro Furukawa (Kanto Rosai Hosp.), Giancarlo Mauri (Univ. Milano-Bicocca), Hideki Nakayama (UTokyo) MI2018-82 |
How can we tackle the lack of available annotated medical image data through Data Augmentation (DA) techniques for accur... [more] | MI2018-82 pp.93-94 |
|
| MI | 2019-01-23 15:35 |
Okinawa | Investigation of relationships between image features of histological images in prostate cancer and Gleason scores Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe (Kyushu Univ.), Kenjiro Imada (Kyushu Univ. Hosp.), Yoshinao Oda (Kyushu Univ.) MI2018-112 |
We aimed to investigate relationships between quantitative image features and Gleason scores that are subjectively deter... [more] | MI2018-112 pp.229-232 |
|
| MI | 2017-09-25 15:00 |
Chiba | Chiba Univ. | [Short Paper]
Shoko Miyauchi, Ken'ichi Morooka (Kyushu Univ.), Yasushi Miyagi (Fukuoka Mirai Hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2017-43 |
(To be available after the conference date) [more] | MI2017-43 pp.15-16 |
| NLC | 2017-09-07 11:00 |
Tokyo | Seikei University | Naoya Onimura (Kyushu Univ.), Takanori Yamashita, Naoki Nakashima (Kyushu Univ. HP), Hidehisa Soejima (Saiseikai Kumamoto Hospital), Sachio Hirokawa (Kyushu Univ.) NLC2017-15 |
(Advance abstract in Japanese is available) [more] | NLC2017-15 pp.13-18 |
| MI | 2016-07-26 14:55 |
Hokkaido | Tomakomai Civic Hall | A Method for Mapping Organ Volume Model with Internal Structure onto Target Volume Shoko Miyauchi, Ken'ichi Morooka (Kyushu Univ.), Tokuo Tsuji (Kanazawa Univ.), Yasushi Miyagi (Fukuoka Mirai Hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2016-45 |
This paper proposes a new method for mapping a volume model of an organ with internal structures to a target volume with... [more] | MI2016-45 pp.49-54 |
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