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One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.

Z. Wang, X. Yu, C. Wang, W. Chen, J. Wang, Y. Chu, H. Sun, R. Li, P. Li, F. Yang, H. Han, T. Kang, J. Lin, C. Yang, S. Chang, Z. Shi, S. Hua, Y. Li, J. Hu, L. Zhu, J. Zhou, M. Lin, J. Guo, C. Cai, Z. Chen, D. Guo, and X. Qu. CoRR, (2023)

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Jiefeng Cheng

Jiefeng Chen

Xinrong Guo

Guo Cheng

Jiong Guo

Other publications of authors with the same name

No-reference omnidirectional video quality assessment based on generative adversarial networks.J. Guo, and Y. Luo. Multim. Tools Appl., 80 (18): 27531-27552 (2021)Multi-viewport based 3D convolutional neural network for 360-degree video quality assessment.J. Guo, L. Huang, and W. Chien. Multim. Tools Appl., 81 (12): 16813-16831 (2022)Enhanced pipelined architecture of H.264/AVC intra prediction.J. Guo, Z. Yang, J. Zheng, and D. Guo. Signal Process. Image Commun., (2016)A Hardware-Efficient Block Matching Algorithm and Its Hardware Design for Variable Block Size Motion Estimation in Ultra-High-Definition Video Encoding.J. Zheng, C. Lu, J. Guo, D. Chen, and D. Guo. ACM Trans. Design Autom. Electr. Syst., 24 (2): 15:1-15:21 (2019)Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction.S. Yu, X. Chu, Z. Zhou, J. Guo, and X. Ding. ICIP, page 730-734. IEEE, (2023)Packet layer model of HEVC wireless video quality assessment.J. Guo, K. Zheng, G. Hu, and L. Huang. ICCSE, page 712-717. IEEE, (2016)Hierarchical content importance-based video quality assessment for HEVC encoded videos transmitted over LTE networks.J. Guo, G. Hu, W. Xu, and L. Huang. J. Vis. Commun. Image Represent., (2017)An HEVC-compliant perceptual video coding using just noticeable difference.J. Guo. Multim. Tools Appl., 81 (1): 1257-1286 (2022)A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction.M. Xiao, Z. Wang, J. Guo, and X. Qu. CoRR, (2023)One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.Z. Wang, X. Yu, C. Wang, W. Chen, J. Wang, Y. Chu, H. Sun, R. Li, P. Li, F. Yang and 17 other author(s). CoRR, (2023)

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Disambiguation of "Guo, Jiefeng"

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One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.

Please choose a person to relate this publication to

Jiefeng Cheng

Jiefeng Chen

Xinrong Guo

Guo Cheng

Jiong Guo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Guo, Jiefeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.

Please choose a person to relate this publication to

Jiefeng Cheng

Jiefeng Chen

Xinrong Guo

Guo Cheng

Jiong Guo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
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One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.