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Paper Abstract and Keywords
Presentation 2026-03-06 13:25
Evaluation of Self-Supervised 2D/3D Deformable Registration Model for Laparoscopic Images
Mami Kobayashi, Yuki Kidoguchi, Satoshi Ogiso, Hiroto Nishino, Megumi Nakao (Kyoto Univ.) MI2025-103
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we aim to develop a self-supervised learning model that achieves 2D/3D deformable registration of a liver mesh to laparoscopic camera images. By combining self-supervised learning that incorporates a noise addition and removal process for predicting registration parameters with a local deformation model capable of reproducing liver deformation during laparoscopic surgery, we confirm that the proposed approach improves registration accuracy compared with conventional models.
Keyword (in Japanese) (See Japanese page) 
(in English) 2D/3D deformable registration / self-supervised learning / diffusion model / intraoperative guidance / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 395, MI2025-103, pp. 163-166, March 2026.
Paper # MI2025-103 
Date of Issue 2026-02-26 (MI) 
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 MI2025-103

Conference Information
Committee MI  
Conference Date 2026-03-05 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2026-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Self-Supervised 2D/3D Deformable Registration Model for Laparoscopic Images 
Sub Title (in English)  
Keyword(1) 2D/3D deformable registration  
Keyword(2) self-supervised learning  
Keyword(3) diffusion model  
Keyword(4) intraoperative guidance  
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1st Author's Name Mami Kobayashi  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Yuki Kidoguchi  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Satoshi Ogiso  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Hiroto Nishino  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
5th Author's Name Megumi Nakao  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2026-03-06 13:25:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2025-103 
Volume (vol) vol.125 
Number (no) no.395 
Page pp.163-166 
#Pages 4 
Date of Issue 2026-02-26 (MI) 

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