A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration-Reference-Cited by-同舟云学术

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A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration

Published:2024-09 Issue: Volume:95 Page:106476
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Cao Yuzhu^ORCID,Cao Weiwei^ORCID,Wang Ziyu^ORCID,Yuan Gang^ORCID,Li Zeyi,Ni Xinye,Zheng Jian^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. The role of registration in accurate surgical guidance;Fitzpatrick;Proc. Inst. Mech. Eng., Part H: J. Eng. Med.,2010

2. 3D–2D registration for surgical guidance: Effect of projection view angles on registration accuracy;Uneri;Phys. Med. Biol.,2013

3. Statistical modeling of 4D respiratory lung motion using diffeomorphic image registration;Ehrhardt;IEEE Trans. Med. Imaging,2010

4. Model-based sparse-to-dense image registration for realtime respiratory motion estimation in image-guided interventions;Ha;IEEE Trans. Biomed. Eng.,2018

5. Salient feature region: A new method for retinal image registration;Zheng;IEEE Trans. Inf. Technol. Biomed.,2010

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