most citedDeep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness

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eess.IV2023

Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI

Zhifan Gao, Yifeng Guo, Jiajing Zhang +2

The long acquisition time has limited the accessibility of magnetic resonance imaging (MRI) because it leads to patient discomfort and motion artifacts. Although several MRI techni…

eess.IV2020★ 1 cited

Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness

Yifeng Guo, Chengjia Wang, Heye Zhang +1

The performance of traditional compressive sensing-based MRI (CS-MRI) reconstruction is affected by its slow iterative procedure and noise-induced artefacts. Although many deep lea…