FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution

Highlights • A fused attentive generative adversarial networks framework is proposed for MR image super-resolution.• A combination of channel attention and self-attention is used to calculate the weight parameters of the input features.• Spectral normalization process is introduced to make the discriminator network stabler.• The proposed FA-GAN method is superior to the state-of-the-art reconstruction methods.