Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis
期刊：IEEE Trans Med Imaging Impact Factor: 6.1 时间：2019 研究背景 在临床中，对MRI多模态图（e.g.,T1-weighted, T2-weighted）的综合分析，有利于医生对病情的了解。 由于多模态图的缺失，或者不同机构影像设备不一致，使得MRI多模态图的合成成为热点。 以往的合成图像，更多的是追求像素值与真实数据相似，忽略其中的结构信息。 以
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- 1. [TMI2019-07]Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis
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