The following publications are possibly variants of this publication:
- A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT ImagesYongfeng Gao, Zhengrong Liang, William Moore, Hao Zhang 0026, Marc J. Pomeroy, John A. Ferretti, Thomas V. Bilfinger, Jianhua Ma, Hongbing Lu. tmi, 38(8):1981-1992, 2019. [doi]
- Full Dose CT Database Induced Reconstruction With Nonlocal Means Prior for Ultra-Low-Dose Lung CT: A Preliminary StudyWenlei Liu, Peng Gao, Yuanke Zhang, Tianshuai Liu, Huangsheng Pu, Junyan Rong, Hongbing Lu. access, 7:154346-154359, 2019. [doi]
- Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT databaseJunyan Rong, Yuanke Zhang, Tianshuai Liu, Peng Gao, Yuxiang Xing, Zhengrong Liang, Hongbing Lu. mibam 2018: 1057821 [doi]
- Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training DatabaseYuanke Zhang, Junyan Rong, Hongbing Lu, Yuxiang Xing, Jing Meng. tmi, 36(12):2510-2523, 2017. [doi]
- Erratum to "Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images"Hao Zhang, Hao Han, Zhengrong Liang, Yifan Hu, Yan Liu, William Moore, Jianhua Ma, Hongbing Lu. tmi, 35(6):1587, 2016. [doi]
- Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT ImagesHao Zhang, Hao Han, Zhengrong Liang, Yifan Hu, Yan Liu, William Moore, Jianhua Ma, Hongbing Lu. tmi, 35(3):860-870, 2016. [doi]
- Low dose CT image reconstruction with learned sparsifying transformXuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler. ivmsp 2016: 1-5 [doi]