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Paper Abstract and Keywords
Presentation 2026-03-06 14:00
Noise Reduction in Low-Dose CT Images with Integrated Segmentation Loss
Taishu Kuwana, Yosuke Sugiura, Tetsuya Shimamura (Saitanma Univ.) SIS2025-73
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a nonlinear adaptive control method for feedback active noise control (FBANC) by introducing reservoir computing (RC). Conventional FBANC based on linear adaptive filters is computationally efficient but suffers from limited performance under nonlinear and nonstationary noise conditions, while deep-learning-based ANC faces difficulties in real-time implementation due to high computational cost and offline training requirements.
In this study, the FBANC controller is replaced with an echo state network (ESN), which maps the error signal into a high-dimensional nonlinear state space and generates the control signal through a linear readout. To address diverse noise dynamics, several ESN architectures, including single, stride-based parallel, linear-branch-assisted, and hierarchical ESNs, are designed.
Simulation results using sinusoidal signals and real environmental noise demonstrate that the proposed ESN-based methods outperform the conventional FxNLMS algorithm in terms of noise reduction performance under nonstationary conditions, while indicating that computational cost during online learning remains a challenge for real-time implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Feedback Active Noise Control / Reservoir Computing / Echo State Network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 393, SIS2025-73, pp. 86-91, March 2026.
Paper # SIS2025-73 
Date of Issue 2026-02-26 (SIS) 
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 SIS2025-73

Conference Information
Committee SIS  
Conference Date 2026-03-05 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Ohkubo Campus, Saitama University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2026-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Noise Reduction in Low-Dose CT Images with Integrated Segmentation Loss 
Sub Title (in English)  
Keyword(1) Feedback Active Noise Control  
Keyword(2) Reservoir Computing  
Keyword(3) Echo State Network  
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1st Author's Name Taishu Kuwana  
1st Author's Affiliation Saitama University (Saitanma Univ.)
2nd Author's Name Yosuke Sugiura  
2nd Author's Affiliation Saitama University (Saitanma Univ.)
3rd Author's Name Tetsuya Shimamura  
3rd Author's Affiliation Saitama University (Saitanma Univ.)
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Speaker Author-2 
Date Time 2026-03-06 14:00:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2025-73 
Volume (vol) vol.125 
Number (no) no.393 
Page pp.86-91 
#Pages 6 
Date of Issue 2026-02-26 (SIS) 

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