Open access
Sep 2026
Uncertainty-weighted dual-domain consistency for self-supervised accelerated MRI reconstruction
A novel dual-domain self-supervised learning (Dual-SSL) framework that rigorously enforces physical consistency in both image and k-space domains is proposed, effectively bridging the gap between self-supervised and supervised MRI reconstruction.
Xin-Zhen Li, Jin-Hong Huang, Gen-Jiao Zhou et al.
· Biomedical engineering and p... · 0 citations