Presentation 2020-01-30
CondNet: Deep learning architecture for electrical conductivity estimation of human head models
Essam A. Rashed, Akimasa Hirata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # EST2019-81
Date of Issue 2020-01-23 (EST)

Conference Information
Committee EST
Conference Date 2020/1/30(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Beppu International Convention Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Simulation Technique, etc.
Chair Akimasa Hirata(Nagoya Inst. of Tech.)
Vice Chair Shinichiro Ohnuki(Nihon Univ.) / Masayuki Kimishima(Advantest) / Jun Shibayama(Hosei Univ.)
Secretary Shinichiro Ohnuki(National Inst. of Tech.,Sendai College) / Masayuki Kimishima(Aoyama Gakuin Univ.) / Jun Shibayama
Assistant Takahiro Ito(Nagoya Inst. of Tech.) / Kazuhiro Fujita(Fujitsu)

Paper Information
Registration To Technical Committee on Electronics Simulation Technology
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) CondNet: Deep learning architecture for electrical conductivity estimation of human head models
Sub Title (in English)
Keyword(1)
1st Author's Name Essam A. Rashed
1st Author's Affiliation Nagoya Institute of Technology(NITech)
2nd Author's Name Akimasa Hirata
2nd Author's Affiliation Nagoya Institute of Technology(NITech)
Date 2020-01-30
Paper # EST2019-81
Volume (vol) vol.119
Number (no) EST-407
Page pp.pp.13-17(EST),
#Pages 5
Date of Issue 2020-01-23 (EST)