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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, F. Wu, W. Fan, and Z. Hu. IEEE Trans. Medical Imaging, 43 (4): 1554-1567 (April 2024)

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Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

Other publications of authors with the same name

A Novel Interactive Image Processing Approach for DICOM Medical Image Data.Z. Hu, H. Zheng, and J. Gui. BMEI, page 1-4. IEEE, (2009)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)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)Geometric Calibration of a Micro-CT System and Performance for Insect Imaging.Z. Hu, J. Gui, J. Zou, J. Rong, Q. Zhang, H. Zheng, and D. Xia. IEEE Trans. Information Technology in Biomedicine, 15 (4): 655-660 (2011)Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests.P. Gu, C. Jiang, M. Ji, Q. Zhang, Y. Ge, D. Liang, X. Liu, Y. Yang, H. Zheng, and Z. Hu. Sensors, 19 (1): 207 (2019)PET Image Reconstruction Using a Cascading Back-Projection Neural Network.Q. Zhang, J. Gao, Y. Ge, N. Zhang, Y. Yang, X. Liu, H. Zheng, D. Liang, and Z. Hu. IEEE J. Sel. Top. Signal Process., 14 (6): 1100-1111 (2020)CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging.Z. Huang, Z. Chen, Q. Zhang, G. Quan, M. Ji, C. Zhang, Y. Yang, X. Liu, D. Liang, H. Zheng and 1 other author(s). IEEE Trans. Computational Imaging, (2020)DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images.R. Luo, Y. Ge, Z. Hu, D. Liang, and Z. Li. Displays, (2021)Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model.T. Xie, C. Cao, Z. Cui, Y. Guo, C. Wu, X. Wang, Q. Li, Z. Hu, T. Sun, Z. Sang and 6 other author(s). CoRR, (2023)

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Disambiguation of "Hu, Zhanli"

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OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.

Please choose a person to relate this publication to

Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hu, Zhanli"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.

Please choose a person to relate this publication to

Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.