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FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.

Z. Huang, X. Liu, R. Wang, M. Zhang, X. Zeng, J. Liu, Y. Yang, X. Liu, H. Zheng, D. Liang, and Z. Hu. Appl. Intell., 51 (5): 2838-2849 (2021)

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Zhenxing Ren

Zhenxing Wang

Feiqing Huang

Haishi Huang

Zhida Huang

Other publications of authors with the same name

A deep attention-based ensemble network for real-time face hallucination.D. Liu, J. Chen, Z. Huang, N. Zeng, P. Lu, L. Yang, H. Wang, J. Kou, and M. Wu. J. Real Time Image Process., 17 (6): 1927-1937 (2020)FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.Z. Huang, X. Liu, R. Wang, M. Zhang, X. Zeng, J. Liu, Y. Yang, X. Liu, H. Zheng, D. Liang and 1 other author(s). Appl. Intell., 51 (5): 2838-2849 (2021)OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.M. Fu, N. Zhang, Z. Huang, C. Zhou, X. Zhang, J. Yuan, Q. He, Y. Yang, H. Zheng, D. Liang and 3 other author(s). IEEE Trans. Medical Imaging, 43 (4): 1554-1567 (April 2024)Segmentation-guided Denoising Network for Low-dose CT Imaging.Z. Huang, Z. Liu, P. He, Y. Ren, S. Li, Y. Lei, D. Luo, D. Liang, D. Shao, Z. Hu and 1 other author(s). Comput. Methods Programs Biomed., (2022)MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks.Z. Huang, W. Li, Y. Wang, Z. Liu, Q. Zhang, Y. Jin, R. Wu, G. Quan, D. Liang, Z. Hu and 1 other author(s). Artif. Intell. Medicine, (September 2023)Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks.Z. Huang, X. Liu, R. Wang, J. Chen, P. Lu, Q. Zhang, C. Jiang, Y. Yang, X. Liu, H. Zheng and 2 other author(s). Neurocomputing, (2021)Quantitative pharmacokinetic parameter Ktrans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).J. Huang, S. Yang, L. Zou, Y. Chen, L. Yang, B. Yao, Z. Huang, Y. Zhong, Z. Liu, and N. Zhang. Biomed. Signal Process. Control., 87 (Part A): 105433 (January 2024)Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation.Z. Pang, M. Geng, L. Zhang, Y. Zhou, T. Zeng, L. Zheng, N. Zhang, D. Liang, H. Zheng, Y. Dai and 2 other author(s). Signal Process., (2023)Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.Z. Huang, X. Liu, R. Wang, Z. Chen, Y. Yang, X. Liu, H. Zheng, D. Liang, and Z. Hu. IEEE J. Biomed. Health Informatics, 25 (9): 3416-3427 (2021)Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).Z. Chen, N. Zhang, Q. Zhang, K. Liang, Z. Huang, G. Quan, X. Li, D. Liang, and Z. Hu. Biomed. Signal Process. Control., 86 (Part B): 105225 (September 2023)

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Disambiguation of "Huang, Zhenxing"

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FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.

Please choose a person to relate this publication to

Zhenxing Ren

Zhenxing Wang

Feiqing Huang

Haishi Huang

Zhida Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Zhenxing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.

Please choose a person to relate this publication to

Zhenxing Ren

Zhenxing Wang

Feiqing Huang

Haishi Huang

Zhida Huang

Other publications of authors with the same name

Disambiguation

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URL
DOI
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FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.