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    • Research on deep unfolding network for brain Image registration

    • In the field of medical image registration, researchers have proposed a deep unfolding registration network based on model decoupling, which effectively integrates the advantages of traditional iterative optimization methods and deep learning methods, significantly improving computational efficiency, accuracy, and interpretability.
    • Pages: 1-15(2026)   

      Received:24 June 2025

      Revised:2025-12-29

      Accepted:27 January 2026

      Published Online:27 January 2026

    • DOI: 10.11834/jig.250283     

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  • Sun Jiaying, Yang Shuangyan, Ying Shihui. Research on deep unfolding network for brain Image registration[J/OL]. Journal of Image and Graphics, 2026, 1-15. DOI: 10.11834/jig.250283.
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相关作者

Xiu Li 清华大学深圳国际研究生院
Jie Luo 哈佛医学院
Zhe Xu 清华大学深圳国际研究生院;哈佛医学院
Jiangpeng Yan 清华大学深圳国际研究生院
Lufan Ma 清华大学深圳国际研究生院
Feng Luo 清华大学深圳国际研究生院
Chengcheng Zhang 中北大学大数据学院山西省生物医学成像与影像大数据重点实验室
Lifang Wang 中北大学大数据学院山西省生物医学成像与影像大数据重点实验室

相关机构

Shenzhen International Graduate School, Tsinghua University
Harvard Medical School
The Key Laboratory of Biomedical Imaging and Imaging on Big Data, North University of China
浙江大学人工智能研究所
四川大学电气信息学院
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