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Paper Abstract and Keywords
Presentation 2021-03-15 15:15
Deep State-Space Modeling of FMRI Images with Disentangle Attributes
Koki Kusano (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-59
Abstract (in Japanese) (See Japanese page) 
(in English) As well as the disorder and other targets, nuisance attributes such as age, gender, and scanner specifications underlie the medical data (e.g., fMRI data). Removing these attributes is critical for a medical data analysis robust to individual and environmental differences. This study proposes a Deep Disentangled Attribute Model for leveraging recent advances in deep learning. The proposed model is a deep generative model, where the disorder and nuisance attribute jointly serve as the hidden causes of measured results. By inferring them, the proposed model separates features related to the nuisance attributes from the disorder-related information, and thereby, gives a refined diagnosis. This study also confirms that the separated features represent the nuisance attributes.
Keyword (in Japanese) (See Japanese page) 
(in English) deep generative model / fMRI image / mental disorder diagnosis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 431, MI2020-59, pp. 56-61, March 2021.
Paper # MI2020-59 
Date of Issue 2021-03-08 (MI) 
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)
Download PDF MI2020-59

Conference Information
Committee MI  
Conference Date 2021-03-15 - 2021-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2021-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep State-Space Modeling of FMRI Images with Disentangle Attributes 
Sub Title (in English)  
Keyword(1) deep generative model  
Keyword(2) fMRI image  
Keyword(3) mental disorder diagnosis  
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1st Author's Name Koki Kusano  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Takashi Matsubara  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Kuniaki Uehara  
3rd Author's Affiliation Osaka Gakuin University (Osaka Gakuin Univ.)
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Speaker Author-1 
Date Time 2021-03-15 15:15:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2020-59 
Volume (vol) vol.120 
Number (no) no.431 
Page pp.56-61 
#Pages 6 
Date of Issue 2021-03-08 (MI) 

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