Comparison of Super-Resolution Deep-Learning Reconstruction and Hybrid Iterative Reconstruction for Coronary Stent Assessment on CTA: A Prospective Multicenter Study

AMERICAN JOURNAL OF ROENTGENOLOGY · Published 2026-07-15 · DOI 10.2214/ajr.26.34957

Authors (29)

Cheng Xu, Limiao Zou, Shaofei He, Tengyue Zhang, Linghao Wang, Xiaohuan Liu, Haipeng Liu, Ying Li, Ying Li, Tao Zhou, Ling Yang, Chunli Zhao, Na Li, Dan Yu, Yanyu Zhang, Lijun Chen, Min Xu, Ming Wang, Man Wang, Zhiping Zhong, Zhihua Wu, Hongzhong Mo, Tong Zhang, Xiaohui Guan, Yaliang Liu, Shouqiang Jia, Changhua Liang, Wei Wu, Yining Wang

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Publication details

Year

2026

Citation

Xu, C., Zou, L., He, S., et al. (2026). Comparison of Super-Resolution Deep-Learning Reconstruction and Hybrid Iterative Reconstruction for Coronary Stent Assessment on CTA: A Prospective Multicenter Study. AMERICAN JOURNAL OF ROENTGENOLOGY. https://doi.org/10.2214/ajr.26.34957

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