Researchers introduced SSIBench, a framework for benchmarking self-supervised learning methods in MRI reconstruction without ground truth images, addressing limitations of previous approaches. The study reveals varying performance across different scenarios, highlighting the need for further research and collaboration to advance self-supervised imaging techniques.
Read the full article at arXiv cs.LG (ML)
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