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| Presentation | 2018-11-05 15:10 [Poster Presentation] Posterior mean approximation solution combining multiple image prior distributions in MR image reconstruction Nanako Kubota, Ken Harada (Waseda Univ.), Koji Fujimoto, Tomohisa Okada (Kyoto Univ.), Masato Inoue (Waseda Univ.)  IBISML2018-47 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the MR image reconstruction, combining multiple image prior distributions is preferred to obtain better results, but finding the optimal combination of prior weights by the cross-validation method is difficult because the number of combinations increases exponentially w.r.t. the number of priors. In this manuscript, we solve this problem by the ensemble learning. Furthermore, we give meaning to this solution as an approximate of the posterior mean. As a result, the accuracy (mean square error) of reconstructed images was improved without increasing the order of the calculation cost. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | MR image reconstruction / compressed censing / posterior mean estimate / ensemble learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-47, pp. 23-28, Nov. 2018. | |
| Paper # | IBISML2018-47 | |
| Date of Issue | 2018-10-29 (IBISML) | |
| 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 | IBISML2018-47 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2018-11-05 - 2018-11-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Citizens Activites Center (Kaderu 2.7) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2018) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2018-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Posterior mean approximation solution combining multiple image prior distributions in MR image reconstruction |
| Sub Title (in English) | |
| Keyword(1) | MR image reconstruction |
| Keyword(2) | compressed censing |
| Keyword(3) | posterior mean estimate |
| Keyword(4) | ensemble learning |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Nanako Kubota |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Ken Harada |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Koji Fujimoto |
| 3rd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 4th Author's Name | Tomohisa Okada |
| 4th Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 5th Author's Name | Masato Inoue |
| 5th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-11-05 15:10:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-47 |
| Volume (vol) | vol.118 |
| Number (no) | no.284 |
| Page | pp.23-28 |
| #Pages | 6 |
| Date of Issue | 2018-10-29 (IBISML) |
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