Multimodal MRI synthesis using unified generative adversarial networks

Citations Over TimeTop 10% of 2020 papers

Abstract

We proposed a novel multimodal MR image synthesis method based on a unified generative adversarial network. The network takes an image and its modality label as inputs and synthesizes multimodal images in a single forward pass. The results demonstrate that the proposed method is able to accurately synthesize multimodal MR images from a single MR image.

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