A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI

ECCV 2018 Zhiwen FanLiyan SunXinghao DingYue HuangCongbo CaiJohn Paisley

Compressed sensing MRI is a classic inverse problem in the field of computational imaging, accelerating the MR imaging by measuring less k-space data. The deep neural network models provide the stronger representation ability and faster reconstruction compared with "shallow" optimization-based methods... (read more)

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