Interpretable wavelet transformer‐enhanced framework for unsupervised deformable image registration

The experimental results show that the wavelet transformer-based network is effective in deformable MRI registration due to its ability to capture multi-scale features and its strong interpretability.

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Publication Details

Journal
Medical Physics
Published
2025-10-01
DOI
https://doi.org/10.1002/mp.70056
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Interpretable wavelet transformer‐enhanced framework for unsupervised deformable image registration

Xinhao Bai, Yanding Qin, Ningbo Yu, Hongpeng Wang et al.
Medical Physics
Advanced MRI Techniques and Applications
article

Interpretable wavelet transformer‐enhanced framework for unsupervised deformable image registration

Xinhao Bai, Yanding Qin, Ningbo Yu, Hongpeng Wang, Jianda Han
article en

Abstract

The experimental results show that the wavelet transformer-based network is effective in deformable MRI registration due to its ability to capture multi-scale features and its strong interpretability.

Medical PhysicsVol. 52(10)
Shenzhen Institute of Information Technology (CN), Nankai University (CN)
Openalex Percentile: Top 58%
Advanced MRI Techniques and Applications
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