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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 10:46 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated musculoskeletal segmentation of torso CT images Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST)  MI2023-70 |
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] | MI2023-70 pp.122-126 |
| 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 | 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 | 2022-01-26 13:39 |
Online | Online | Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62 |
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] | MI2021-62 pp.70-75 |
| MI, MICT [detail] | 2021-11-05 11:05 |
Online | Online | [Short Paper]
Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31 |
In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose... [more] | MICT2021-33 MI2021-31 pp.26-27 |
| MI | 2021-03-17 10:45 |
Online | Online | [Short Paper]
Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90 |
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] | MI2020-90 pp.182-185 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | Evaluation of Image Quality and Registration Accuracy of 3D Ultrasound Portal Vein Images for Long Monitoring Iori Terada, Toshiki Teratoko, Tomohiro Ueno, Koich Ishizu, Yasutomo Fujii, Tsuyoshi Shiina, Naozo Sugimoto (Kyoto Univ) MI2015-123 |
Continuous 3D Ultrasound monitoring may capture important physiological changes as well as Holter electrocardiography. A... [more] | MI2015-123 pp.241-246 |
| MI | 2014-09-02 10:15 |
Tokyo | The Institute of Statistical Mathematics | Proposal of an algorithm for simultaneous optimization of segmentation and a shape prior and its application to pancreas segmentation Atsushi Saito (TUAT), Shigeru Nawano (IUHW), Akinobu Shimizu (TUAT) MI2014-35 |
A statistical shape model (SSM) plays an important role to provide a shape prior for organ segmentation, such as graph c... [more] | MI2014-35 pp.1-5 |
| PRMU, IE, MI | 2010-05-13 10:00 |
Aichi | Chubu Univ. | Development of colon registration method using haustral folds and feature points from 3D abdominal CT images Eiichiro Fukano, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka, Yasuhito Suenaga (AIT), Tetsuji Takayama (The University of Tokushima), Hirotsugu Takabatake (Sapporo-Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Shigeru Nawano (International University of Health and Welfare Mita Hospital), Kensaku Mori (Nagoya Univ.) IE2010-16 PRMU2010-4 MI2010-4 |
This paper proposes a method to make correspondence between supine-prone positions of colon. Physicians take CT images ... [more] |
IE2010-16 PRMU2010-4 MI2010-4 pp.19-24 |
| MI | 2008-07-17 13:10 |
Hokkaido | Sapporo Medical University | Haustral fold detection method based on local intensity structure analysis from 3D abdominal CT images Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Nagoya Univ./Aichi Institute of Technology), Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Tetsuji Takayama (Univ. of Tokushima), Hirotsugu Takabatake (Sapporo-Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Shigeru Nawano (International University of Health and Welfare Mita Hospital) MI2008-31 |
This paper proposes a haustral fold detection method based on local intensity structure analysis for supine-prone regist... [more] | MI2008-31 pp.59-64 |
| MI | 2008-01-25 10:50 |
Okinawa | Naha-Bunka-Tenbusu | Hierarchal Standardization of Abdominal Cavity for Multiple Organ Segmentation in 3D Abdominal CT Image Motoki Kubo, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake (TUAT), Shigeru Nawano (Center for Radiological Sciences, IUHW) MI2007-67 |
In this paper, we describe a hierarchal standardization method of abdominal cavity for multiple organ segmentation in th... [more] | MI2007-67 pp.21-28 |
| 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 |
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