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A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.

Y. Gao, Y. Liu, Y. Wang, Z. Shi, and J. Yu. IEEE Trans. Medical Imaging, 38 (9): 2059-2069 (2019)

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Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

2D probabilistic undersampling pattern optimization for MR image reconstruction.S. Xue, Z. Cheng, G. Han, C. Sun, K. Fang, Y. Liu, J. Cheng, X. Jin, and R. Bai. Medical Image Anal., (2022)Hypergraph membrane system based F2 fully convolutional neural network for brain tumor segmentation.J. Xue, J. Hu, Y. Wang, D. Kong, S. Yan, R. Zhao, D. Li, Y. Liu, and X. Liu. Appl. Soft Comput., (2020)HARDFS: hardening HDFS with selective and lightweight versioning.T. Do, T. Harter, Y. Liu, H. Gunawi, A. Arpaci-Dusseau, and R. Arpaci-Dusseau. FAST, page 105-118. USENIX, (2013)Remaining Useful Life Prediction of Cutting Tools based on Deep Adversarial Transfer Learning.Y. Liu, X. Hu, and J. Jin. ICCPR, page 434-439. ACM, (2019)The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder.X. an Bi, Y. Liu, Q. Sun, X. Luo, H. Tan, J. Chen, and N. Zeng. IEEE Access, (2019)Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI.X. an Bi, Q. Jiang, Q. Sun, Q. Shu, and Y. Liu. Frontiers Neuroinformatics, (2018)A hybrid information model based on long short-term memory network for tool condition monitoring.W. Cai, W. Zhang, X. Hu, and Y. Liu. J. Intell. Manuf., 31 (6): 1497-1510 (2020)Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging.K. Fang, Z. Wang, Q. Xia, Y. Liu, B. Wang, Z. Cheng, J. Cheng, X. Jin, R. Bai, and L. Li. IEEE Trans. Biomed. Eng., 71 (3): 780-791 (March 2024)Generating Bessel Beams with Different Shapes by the Designed Trench-assisted Optical Fiber.N. Wang, Y. Liu, W. Li, X. Huo, Y. Liu, and L. Zhang. ICAIT, page 150-154. IEEE, (2022)A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.Y. Gao, Y. Liu, Y. Wang, Z. Shi, and J. Yu. IEEE Trans. Medical Imaging, 38 (9): 2059-2069 (2019)

BibSonomy

Disambiguation of "Liu, Yingchao"

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liu, Yingchao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Disambiguation