Paper Abstract and Keywords |
Presentation |
2019-06-17 17:35
Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) NC2019-12 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Machine learning-based accurate diagnosis of mental disorders is expected to support finding their biomarkers and understanding their underlying mechanism. Recent studies employed LSTM that effectively deals with time series data and DGM that identify brain regions contributed diagnosis mental disorder. Our group employed deep state-space modeling of fMRI data using only images and labels and perform better than above method. Thereby it is expected to improve the performance and reveal the effect of gender and age. Moreover it can extract complex feature, capture time-varying nature of the brain activities and identifies brain regions related to the disorders. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
mental disorder diagnosis / deep generative model / privileged attribute / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 88, NC2019-12, pp. 45-50, June 2019. |
Paper # |
NC2019-12 |
Date of Issue |
2019-06-10 (NC) |
ISSN |
Online edition: ISSN 2432-6380 |
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) |
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NC2019-12 |
Conference Information |
Committee |
NC IBISML IPSJ-MPS IPSJ-BIO |
Conference Date |
2019-06-17 - 2019-06-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Institute of Science and Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Neurocomputing, Machine Learning Approach to Biodata Mining, and General |
Paper Information |
Registration To |
NC |
Conference Code |
2019-06-NC-IBISML-MPS-BIO |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model |
Sub Title (in English) |
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mental disorder diagnosis |
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deep generative model |
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privileged attribute |
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1st Author's Name |
Koki Kusano |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
2nd Author's Name |
Tetsuo Tashiro |
2nd Author's Affiliation |
Kobe University (Kobe Univ.) |
3rd Author's Name |
Takashi Matsubara |
3rd Author's Affiliation |
Kobe University (Kobe Univ.) |
4th Author's Name |
Kuniaki Uehara |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-06-17 17:35:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2019-12 |
Volume (vol) |
vol.119 |
Number (no) |
no.88 |
Page |
pp.45-50 |
#Pages |
6 |
Date of Issue |
2019-06-10 (NC) |