|
|
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 # |
SIP, CAS, VLD, MSS |
2021-07-05 13:00 |
Online |
Online |
Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism Kosuke Fukumori (TUAT), Noboru Yoshida, Hidenori Sugano, Madoka Nakajima (Juntendo Univ.), Toshihisa Tanaka (TUAT) CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3 |
Automated identification of epileptiform discharges for the diagnosis of epilepsy can mitigate the burden of the exhaust... [more] |
CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3 pp.11-15 |
EA, US, SP, SIP, IPSJ-SLP [detail] |
2021-03-03 11:15 |
Online |
Online |
Automatic Detection of Epileptic Abnormal EEG Using Deep Learning Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27 |
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] |
EA2020-62 SIP2020-93 SP2020-27 pp.15-20 |
PRMU |
2020-10-09 13:15 |
Online |
Online |
Video retrieval based on the similarity of human poses Noboru Yoshida, Yadong Pan, Ryo Kawai, Jianquan Liu, Shoji Nishimura (NEC) PRMU2020-24 |
In this paper, we propose new feature which can measure the distance between different poses. The feature is based on th... [more] |
PRMU2020-24 pp.32-37 |
SP, EA, SIP |
2020-03-03 09:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Comparison of Neural Network Models for Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2019-156 SIP2019-158 SP2019-105 |
Epilepsy is a chronic brain disease, and the detection of abnormal waveforms by scalp electroencephalography (EEG) is an... [more] |
EA2019-156 SIP2019-158 SP2019-105 pp.319-323 |
EA, SIP, SP |
2019-03-15 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
EA2018-136 SIP2018-142 SP2018-98 |
Epilepsy is chronic brain disorder that affects 50 million people in the world. To diagnose epilepsy, specialists manual... [more] |
EA2018-136 SIP2018-142 SP2018-98 pp.217-222 |
EA, SIP, SP |
2019-03-15 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Epileptic Spike Detection and Identification of Effective Frequency Band with Neural Networks Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2018-139 SIP2018-145 SP2018-101 |
Epilepsy is a complex neurological disorder and can lead to an adverse impact on an individual's cognitive functions.
I... [more] |
EA2018-139 SIP2018-145 SP2018-101 pp.233-235 |
|
|
|
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]
|