DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis

29 Apr 2019Hongwei LiJohannes C. PaetzoldAnjany SekuboyinaFlorian KoflerJianguo ZhangJan S. KirschkeBenedikt WiestlerBjoern Menze

Synthesizing MR imaging sequences is highly relevant in clinical practice, as single sequences are often missing or are of poor quality (e.g. due to motion). Naturally, the idea arises that a target modality would benefit from multi-modal input, as proprietary information of individual modalities can be synergistic... (read more)

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