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Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.

Y. Zhu, J. Cheng, Z. Cui, Q. Zhu, L. Ying, and D. Liang. IEEE Signal Process. Mag., 40 (2): 116-128 (March 2023)

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Xinping Zhuo

Zhuo Tang

Zhuo Li

Xu Xu

Zhuo Wang

Other publications of authors with the same name

Learning Data Consistency and its Application to Dynamic MR Imaging.J. Cheng, Z. Cui, W. Huang, Z. Ke, L. Ying, H. Wang, Y. Zhu, and D. Liang. IEEE Trans. Medical Imaging, 40 (11): 3140-3153 (2021)Deep unfolding as iterative regularization for imaging inverse problems.Z. Cui, Q. Zhu, J. Cheng, and D. Liang. CoRR, (2022)Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.T. Xie, Z. Cui, C. Luo, H. Wang, C. Liu, Y. Zhang, X. Wang, Y. Zhu, Q. Jin, G. Chen and 3 other author(s). CoRR, (2023)A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion.Z. Cui, and Q. Fan. Digit. Signal Process., (2017)PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging.C. Cao, Z. Cui, Q. Zhu, D. Liang, and Y. Zhu. CoRR, (2022)Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.Z. Cui, C. Liu, X. Fan, C. Cao, J. Cheng, Q. Zhu, Y. Liu, S. Jia, Y. Zhou, H. Wang and 4 other author(s). CoRR, (2023)Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.Y. Zhu, J. Cheng, Z. Cui, Q. Zhu, L. Ying, and D. Liang. IEEE Signal Process. Mag., 40 (2): 116-128 (March 2023)Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI.C. Luo, H. Wang, T. Xie, Q. Jin, G. Chen, Z. Cui, and D. Liang. CoRR, (2023)On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization.Y. Dong, Z. Cui, Y. Zhang, and S. Feng. PDCAT, volume 12606 of Lecture Notes in Computer Science, page 129-140. Springer, (2020)Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.Z. Cui, S. Jia, J. Cheng, Q. Zhu, Y. Liu, K. Zhao, Z. Ke, W. Huang, H. Wang, Y. Zhu and 2 other author(s). IEEE Trans. Medical Imaging, 42 (12): 3540-3554 (December 2023)

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Disambiguation of "Cui, Zhuo-Xu"

Please choose a person to relate this publication to

Xinping Zhuo

Zhuo Tang

Zhuo Li

Xu Xu

Zhuo Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cui, Zhuo-Xu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.

Please choose a person to relate this publication to

Xinping Zhuo

Zhuo Tang

Zhuo Li

Xu Xu

Zhuo Wang

Other publications of authors with the same name

Disambiguation