Presentation 2016-11-16
[Poster Presentation] An ensemble learning for MR image reconstruction
Yufu Kasahara, Masato Inoue, Kaori Togashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to shorten the magnetic resonance (MR) imaging time, a lot of image reconstruction methods from a small number of sampling data have been proposed. However, the efficiency of a image reconstruction method generally depends on sampled data. To solve this problem, we propose the ensemble of several image reconstruction methods. Results showed the superiority of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Compressed sensing / Ensemble learning / MR image reconstruction
Paper # IBISML2016-58
Date of Issue 2016-11-09 (IBISML)

Conference Information
Committee IBISML
Conference Date 2016/11/16(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Information-Based Induction Science Workshop (IBIS2016)
Chair Kenji Fukumizu(ISM)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.)
Secretary Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Nagoya Inst. of Tech.)
Assistant Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] An ensemble learning for MR image reconstruction
Sub Title (in English)
Keyword(1) Compressed sensing
Keyword(2) Ensemble learning
Keyword(3) MR image reconstruction
Keyword(4)
1st Author's Name Yufu Kasahara
1st Author's Affiliation WasedaUniversity(Waseda Univ)
2nd Author's Name Masato Inoue
2nd Author's Affiliation WasedaUniversity(Waseda Univ)
3rd Author's Name Kaori Togashi
3rd Author's Affiliation Kyoto University(Kyoto Univ)
Date 2016-11-16
Paper # IBISML2016-58
Volume (vol) vol.116
Number (no) IBISML-300
Page pp.pp.87-91(IBISML),
#Pages 5
Date of Issue 2016-11-09 (IBISML)