Integrating Local Precision With Global Consistency for Unsupervised Magnetic Resonance Image Registration
These results confirm the robustness and accuracy of GLACF across diverse datasets, highlighting its strong potential for clinical translation in high-fidelity image registration scenarios.
Authors
- Xiangde Min
- Jiangfeng Wang
- He Deng
- Xi Yin
Institutions
- Shihezi University (CN)
- Wuhan University of Technology (CN)
- First Affiliated Hospital of Shihezi University Medical College (CN)
- Wuhan Applied Science and Technology School (CN)
- Tongji Hospital (CN)
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2026-03-26
- DOI
- https://doi.org/10.1002/mrm.70357
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00