S <sup>3</sup> CNet: self‐supervised Siamese cooperative network for accelerating magnetic resonance imaging reconstruction
S<sup>3</sup>CNet effectively overcomes the critical dependency of DL-based MRI reconstruction on fully sampled training data. It achieves both high reconstruction quality and strong generalization, providing a practical solution for accelerated clinical MRI.
Authors
- Mingfeng Jiang (ORCID: https://orcid.org/0000-0003-3013-4790)
- Xiaocheng Yang (ORCID: https://orcid.org/0000-0001-8511-6122)
- Chenghu Geng
- Jiacheng Chen (ORCID: https://orcid.org/0000-0001-7384-7972)
- Dongsheng Ruan
- Ling Xia
- Feng Liu
Institutions
- Zhejiang Sci-Tech University (CN)
- The University of Queensland (AU)
- Jiaxing University (CN)
- Neusoft (China) (CN)
- Communication University of Zhejiang (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/mp.70321
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Key Research and Development Program of Ningxia
- National Key Research and Development Program of China