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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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Quan Qiu

Quan Liang

Wei Quan

Quan Yuan

Zhongxian Quan

Other publications of authors with the same name

Reduction of motion artifacts in head CT exams using multi-scale convolutional neural network.B. Su, Y. Liu, J. Fu, and G. Quan. Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131324. SPIE, (2020)Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging.X. Yin, J. Coatrieux, Q. Zhao, J. Liu, W. Yang, J. Yang, G. Quan, Y. Chen, H. Shu, and L. Luo. IEEE Trans. Med. Imaging, 38 (12): 2903-2913 (2019)DREAM-Net: Deep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction.Y. Zhang, D. Hu, S. Hao, J. Liu, G. Quan, Y. Zhang, X. Ji, and Y. Chen. IEEE J. Biomed. Health Informatics, 27 (1): 480-491 (2023)SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT.X. Ji, Y. Lu, Y. Zhang, X. Zhuo, S. Kan, W. Mao, G. Coatrieux, J. Coatrieux, G. Quan, Y. Xi and 3 other author(s). IEEE Trans. Computational Imaging, (2024)TT U-Net: Temporal Transformer U-Net for Motion Artifact Reduction Using PAD (Pseudo All-Phase Clinical-Dataset) in Cardiac CT.Z. Deng, W. Zhang, K. Chen, Y. Zhou, J. Tian, G. Quan, and J. Zhao. IEEE Trans. Medical Imaging, 42 (12): 3805-3816 (December 2023)Unsharp Structure Guided Filtering for Self-Supervised Low-Dose CT Imaging.Q. Wu, X. Ji, Y. Gu, J. Xiang, G. Quan, B. Li, J. Zhu, G. Coatrieux, J. Coatrieux, and Y. Chen. IEEE Trans. Medical Imaging, 42 (11): 3283-3294 (November 2023)CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging.Y. Zhang, D. Hu, Q. Zhao, G. Quan, J. Liu, Q. Liu, Y. Zhang, G. Coatrieux, Y. Chen, and H. Yu. IEEE Trans. Medical Imaging, 40 (11): 3089-3101 (2021)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)PIE-ARNet: Prior Image Enhanced Artifact Removal Network for Limited-Angle DECT.Y. Zhang, D. Hu, T. Lyu, J. Zhu, G. Quan, J. Xiang, G. Coatrieux, S. Luo, and Y. Chen. IEEE Trans. Instrum. Meas., (2023)A Deep-Learning-Based Method for Correction of Bone-Induced CT Beam-Hardening Artifacts.X. Ji, D. Gao, Y. Gan, Y. Zhang, Y. Xi, G. Quan, Z. Lu, and Y. Chen. IEEE Trans. Instrum. Meas., (2023)

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Disambiguation of "Quan, Guotao"

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Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).

Please choose a person to relate this publication to

Quan Qiu

Quan Liang

Wei Quan

Quan Yuan

Zhongxian Quan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Quan, Guotao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).

Please choose a person to relate this publication to

Quan Qiu

Quan Liang

Wei Quan

Quan Yuan

Zhongxian Quan

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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Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).