Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1211005(2024)
Reconstruction of Magnetic Resonance Imaging Based on Dual-Domain Densely-Connected Residual Convolutional Networks
[9] Liu Y, Lu Z Y, Wang J et al. Gibbs artifact removal algorithm for magnetic resonance imaging based on self-attention connection UNet[J]. Journal of Computer Applications, 43, 1606-1611(2023).
[14] Zhang D Q, Liu X H, Pang Y W. Magnetic resonance image reconstruction based on dual-domain parallel codec network[J]. Laser & Optoelectronics Progress, 59, 1210014(2022).
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Weikun Zhang, Qiaohong Liu, Xiaoxiang Han, Yuanjie Lin, Keyan Chen. Reconstruction of Magnetic Resonance Imaging Based on Dual-Domain Densely-Connected Residual Convolutional Networks[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1211005
Category: Imaging Systems
Received: Jun. 6, 2023
Accepted: Aug. 22, 2023
Published Online: Jun. 3, 2024
The Author Email: Qiaohong Liu (hqllqh@163.com)
CSTR:32186.14.LOP231468