Presentation 2019-06-17
Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) mental disorder diagnosis / deep generative model / privileged attribute
Paper # NC2019-12
Date of Issue 2019-06-10 (NC)

Conference Information
Committee NC / IBISML / IPSJ-MPS / IPSJ-BIO
Conference Date 2019/6/17(3days)
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
Chair Hayaru Shouno(UEC) / Hisashi Kashima(Kyoto Univ.) / Masakazu Sekijima(Tokyo Tech) / Hiroyuki Kurata(Kyutech)
Vice Chair Kazuyuki Samejima(Tamagawa Univ) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Kazuyuki Samejima(NAIST) / Masashi Sugiyama(NTT) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) / (Nagoya Univ.)
Assistant Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / IPSJ Special Interest Group on Mathematical Modeling and Problem Solving / IPSJ Special Interest Group on Bioinformatics and Genomics
Language JPN
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)
Keyword(1) mental disorder diagnosis
Keyword(2) deep generative model
Keyword(3) privileged attribute
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
4th Author's Affiliation Kobe University(Kobe Univ.)
Date 2019-06-17
Paper # NC2019-12
Volume (vol) vol.119
Number (no) NC-88
Page pp.pp.45-50(NC),
#Pages 6
Date of Issue 2019-06-10 (NC)