|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-03 10:17 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Electric field regression from head MR image by transformers for TMS Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36 |
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] |
MI2023-36 pp.21-24 |
MI |
2021-07-09 14:30 |
Online |
Online |
Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients Xiao Tan (Chiba Univ.), Yuma Iwao (QST), Chen Ye, Kotaro Takahashi (Chiba Univ.), Yoshitada Masuda (Chiba Univ. Hospital), Ayako Shimada, Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2021-20 |
The state of lung movement is an important index for the diagnosis of the chronic obstructive pulmonary disease (COPD). ... [more] |
MI2021-20 pp.47-51 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-16 11:15 |
Hokkaido |
Hokkaido Univ. |
A note on classification of brain metastases from MR images based on machine learning Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.) |
This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed... [more] |
|
MI |
2016-01-20 15:29 |
Okinawa |
Bunka Tenbusu Kan |
Automatic Blumensaat's line detection method using Pseudo Lateral Radiograph for the Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction Kento Morita, Syoji Kobashi (Univ. of Hyogo), Kaori Kashiwa, Hiroshi Nakayama, Shunichiro Kambara (Hyogo College of Medicine), Masakazu Morimoto (Univ. of Hyogo), Shinichi Yoshiya (Hyogo College of Medicine), Satoru Aikawa (Univ. of Hyogo) MI2015-143 |
Anterior cruciate ligament (ACL) injury causes knee joint instability, and affects on sports performance. Therefore, ACL... [more] |
MI2015-143 pp.345-349 |
MI |
2012-01-20 10:20 |
Okinawa |
|
Development of automated method for extraction of hippocampal regions computer aided diagnosis for dementia of Alzheimer type Sho Araki, Hidetaka Arimura (Kyushu Univ.), Takashi Yoshiura (Kyushu Univ. Hospital), Chiaki Tokunaga, Yasuo Yamashita (Kyushu Univ.), Hiroshi Honda (Kyushu Univ. Hospital), Hideki Hirata, Fukai Toyofuku, Masafumi Ohki (Kyushu Univ.) MI2011-120 |
Although image features of hippocampal regions including their volumes and shapes would be feasible for diagnosing the d... [more] |
MI2011-120 pp.235-238 |
MI |
2009-01-21 09:50 |
Overseas |
National Taiwan University |
[Poster Presentation]
Computerized Detection of Multiple Sclerosis Lesions based on 3.0 T Two-dimensional Magnetic Resonance Images Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Taiki Magome (Kyushu Univ.), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health) MI2008-171 |
The assessment of multiple sclerosis (MS) lesions would be a demanding and time-consuming task, because MS lesions prese... [more] |
MI2008-171 pp.505-506 |
MI |
2008-01-25 15:00 |
Okinawa |
Naha-Bunka-Tenbusu |
Computerized detection of multiple sclerosis lesions based on magnetic resonance imaging Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ), Shingo Kakeda (Univ. of Occupational and Environmental Health), Taiki Magome (Kyushu Univ), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ), Yukunori Korogi (Univ. of Occupational and Environmental Health) MI2007-97 |
It is very important to evaluate the temporal change of multiple sclerosis (MS) lesions in terms of location, shape, and... [more] |
MI2007-97 pp.177-180 |
MI |
2007-09-20 14:45 |
Fukuoka |
Kyushu Univ. |
Segmentation of white matter regions based on a level set method for multiple sclerosis Taiki Magome, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Daisuke Yamamoto, Seiji Kumazawa, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health) MI2007-44 |
It was reported that the atrophy in the cerebral white matter regions could correlate with MS progression. Our goal is t... [more] |
MI2007-44 pp.49-50 |
MI |
2007-09-20 15:10 |
Fukuoka |
Kyushu Univ. |
Development of automated method for detection of multiple sclerosis candidate regions based on brain magnetic resonance images Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Yasuo Yamashita (Kyushu Univ. Hospital), Seiji Kumazawa, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health) MI2007-45 |
The severity and symptom of multiple sclerosis (MS) depend on its location, shape, and area. It is very important to eva... [more] |
MI2007-45 pp.51-52 |
MI |
2007-07-11 11:00 |
Tokyo |
Siemens Forum |
CAD schme for detection of lacunar infarcts in brain MR images Yoshikazu Uchiyama, Ryujiro Yokoyama, Takeshi Hara, Hiroshi Fujita, Takahiko Asano, Hiroki Kato, Hiroaki Hoshi, Toru Iwama (Gifu Univ.) MI2007-29 |
The detection of asymptomatic lacunar infarcts on magnetic resonance (MR) images are important tasks for radiologists to... [more] |
MI2007-29 pp.11-16 |
|
|
|
Copyright and reproduction :
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
|
[Return to Top Page]
[Return to IEICE Web Page]
|