Knowledge distillation (KD) is an emerging technique in the field of deep learning that aims to compress complex models into smaller, more efficient ones. In the context of magnetic resonance imaging (MRI) reconstruction, deep cascaded architectures have shown impressive results… Continue Reading →
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