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Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.

B. Qu, J. Zhang, T. Kang, J. Lin, M. Lin, H. She, Q. Wu, M. Wang, and G. Zheng. Comput. Biol. Medicine, (January 2024)

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Qingxia Lei

Qingxia Gong

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Changzhu Wu

Yinghua Wu

Other publications of authors with the same name

Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer.Q. Wu, J. Lou, J. Liu, L. Dong, Q. Wu, Y. Wu, X. Yu, and M. Wang. BMC Medical Imaging, 24 (1): 28 (December 2024)Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.Q. Wu, H. Tan, Z. Qiao, P. Dong, D. Shen, M. Wang, and Z. Xue. MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 74-83. Springer, (2023)Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.B. Qu, J. Zhang, T. Kang, J. Lin, M. Lin, H. She, Q. Wu, M. Wang, and G. Zheng. Comput. Biol. Medicine, (January 2024)Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status.H. Wei, Z. Shao, J. Tai, F. Fu, C. Lv, Z. Guo, Y. Wu, L. Chen, Y. Bai, Q. Wu and 4 other author(s). BMC Medical Imaging, 22 (1): 209 (2022)Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer.S. Wang, X. Chen, Z. Liu, Q. Wu, Y. Zhu, M. Wang, and J. Tian. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095040. SPIE, (2019)Mix Contrast for COVID-19 Mild-to-Critical Prediction.Y. Zhu, S. Wang, S. Wang, Q. Wu, L. Wang, H. Li, M. Wang, M. Niu, Y. Zha, and J. Tian. IEEE Trans. Biomed. Eng., 68 (12): 3725-3736 (2021)Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.Q. Wu, H. Tan, Y. Wu, P. Dong, J. Che, Z. Li, C. Lei, D. Shen, Z. Xue, and M. Wang. MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 131-139. Springer, (2022)A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer.Q. Wu, W. Huang, S. Wang, H. Yu, L. Wang, Z. Wu, Y. Zhu, Z. Liu, H. Ma, and J. Tian. EMBC, page 3411-3414. IEEE, (2021)A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer.Z. Li, S. Wang, H. Yu, Y. Zhu, Q. Wu, L. Wang, Z. Wu, Y. Gan, W. Li, B. Qiu and 1 other author(s). IEEE Trans. Emerg. Top. Comput. Intell., 7 (2): 330-341 (April 2023)

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Disambiguation of "Wu, Qingxia"

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Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.

Please choose a person to relate this publication to

Qingxia Lei

Qingxia Gong

Jinglan Wu

Changzhu Wu

Yinghua Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Qingxia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.

Please choose a person to relate this publication to

Qingxia Lei

Qingxia Gong

Jinglan Wu

Changzhu Wu

Yinghua Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.