Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks
Abstract: Highlights•An explainable framework to generate CTA images from CTP data in the first time.•A loss function is motivated by the explainability based on steerable filter for GAN•A generator in GAN is proposed to employ spatial-temporal information
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