The following publications are possibly variants of this publication:
- Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial NetworkGuanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk. miccai 2019: 47-57 [doi]
- Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-AwarenessYifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang. miccai 2020: 167-177 [doi]
- Reconstruction Method for Missing Measurement Data Based on Wasserstein Generative Adversarial NetworkChangfan Zhang, Hongrun Chen, Jing He 0003, Haonan Yang. jaciii, 25(2):195-203, 2021. [doi]
- Quantum Wasserstein Generative Adversarial NetworksShouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu. nips 2019: 6778-6789 [doi]
- A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI ReconstructionGuangyuan Li, Jun Lv, Chengyan Wang. access, 9:83185-83198, 2021. [doi]
- Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless NetworksLiu Yang 0003, Yun Li 0001, Simon X. Yang, Yinzhi Lu, Tan Guo, Keping Yu. network, 36(4):134-140, 2022. [doi]
- Evasion Attacks Based on Wasserstein Generative Adversarial NetworkJinlan Zhang, Qiao Yan, Mingde Wang. comcomap 2019: 454-459 [doi]