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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 13:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-Organ Segmentation from 3D Abdominal CT Images Using Blood Vessel Enhanced Images and AutoML Mana Ohno, Shen Chen (Nagoya Univ.), Holger R. Roth (NVIDIA Corp.), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.)  MI2023-78 |
Multi-organ segmentation is an essential method for the development of computer-aided diagnosis and surgery systems. In ... [more] | MI2023-78 pp.152-155 |
| 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 |
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| MI, MICT | 2017-11-06 10:40 |
Kagawa | Sunport Hall Takamatsu | On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-29 MI2017-51 |
Deep learning-based methods achieved impressive results in segmentations from medical images. With the development of 3D... [more] | MICT2017-29 MI2017-51 pp.15-20 |
| PRMU, MI, IE | 2012-05-18 14:00 |
Aichi | Automated anatomical labeling of vessels based on optimal path finding betwxeen great vessels and organs from multi-phase 3D CT
-- Improvement of optimal path finding -- Yuki Suzuki, Toshiyuki Okada (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2012-32 PRMU2012-17 MI2012-17 |
A fully automated method is described for segmentation and anatomical labeling of the abdominal vessels from contrast-en... [more] | IE2012-32 PRMU2012-17 MI2012-17 pp.91-96 |
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| MI | 2010-07-09 17:00 |
Tokushima | Tokusima Univ. Kogyo-Kaikan Bldg. | Validating Segmentation of Diseased Hip CT Images Using Hierarchical Statistical Shape Model Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-48 |
Segmentation of the femur and pelvis from 3D CT data is prerequisite of patient specific planning and simulation for hip... [more] | MI2010-48 pp.63-68 |
| MI | 2009-01-20 09:30 |
Overseas | National Taiwan University | [Special Invited Talk]
Trends in Research on CAD in Japan Hidefumi Kobatake (Tokyo Univ. of Agriculture and Tech.) MI2008-106 |
A large research project on the subject of computer-aided diagnosis (CAD) entitled “Intelligent Assistance in Diagnosis ... [more] | MI2008-106 pp.217-218 |
| MI | 2009-01-21 09:50 |
Overseas | National Taiwan University | [Poster Presentation]
Construction of Hierarchical Statistical Shape and Motion Model of Hip Joint Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masahiko Nakamoto, Masaki Takao, Nobuhiko Sugano, Hideki Yoshikawa (Osaka Univ.), Yukio Tada (Kobe Univ.), Yoshinobu Sato (Osaka Univ.) MI2008-180 |
Segmentation and separation of the femur and pelvis from 3D CT images are prerequisite of patient specific surgical plan... [more] | MI2008-180 pp.545-550 |
| PRMU, MI | 2006-05-25 14:40 |
Aichi | Aichi Prefectural University | [Special Talk]
Medical image processings for multi-organ, multi-disease computer-aided diagnosis Akinobu Shimizu, Hidefumi Kobatake (Tokyo Univ. of Agriculture and Technology) |
Multi-organ, multi-disease Computer-Aided Diagnosis (CAD) is a new concept in CAD. It can diagnose multiple diseases of ... [more] | PRMU2006-17 MI2006-17 pp.95-100 |
| MI | 2006-01-27 17:45 |
Okinawa | Miyakojimashi-Chuo-Kouminkan | Improvement of simultaneous segmentation of multi-organ based on estimation of feature distribution parameters Rena Ohno, Hironori Sakurai (TUAT), Daniel Smutek (Charles Univ.), Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (National Cancer Center Hospital East) |
In this paper, we present a simultaneous segmentation method for multi-organ in three dimensional abdominal CT images ba... [more] | MI2005-106 pp.159-162 |
| PRMU, MI | 2005-05-20 10:00 |
Aichi | Nagoya Institute of Technology | Multi-organ extraction method from three dimensional abdominal CT images using digital atlas of human anatomy and its performance evaluation Akinobu Shimizu, Hironori Sakurai, Tomohisa Yanagita, Hidefumi Kobatake (Tokyo Univ. of Agri. and Tech.), Shigeru Nawano (National Cancer Center Hospital East) |
This paper describes a multi-organ extraction method based on digital atlas of human anatomy and the results of performa... [more] | PRMU2005-15 MI2005-15 pp.7-12 |
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