A CNN-attention model achieves 99.2% accuracy on seen MRI sites and 75.5% on unseen heterogeneous sites for motion artifact quality assessment.
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Attention-Gated Convolutional Networks for Scanner-Agnostic Quality Assessment
A CNN-attention model achieves 99.2% accuracy on seen MRI sites and 75.5% on unseen heterogeneous sites for motion artifact quality assessment.