Abstract: Highlights•Present a spatial–temporal attention-guided dual-path network for cine MRI super-resolution.•Propose a position-weighted cross-frame attention for correlation exploration.•Develop a recurrent flow-enhanced attention module to enhance fine details recovery.•The performance of STADNet outperforms the SOTA methods on two datasets.
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