Development and Validation of a Deep Learning-Based Fully Automated Algorithm for Pre-TAVR CT Assessment of the Aortic Valvular Complex and Detection of Anatomical Risk Factors: A Retrospective, Multicentre Study

MLA

Moyang Wang, et al. Development and Validation of a Deep Learning-Based Fully Automated Algorithm for Pre-TAVR CT Assessment of the Aortic Valvular Complex and Detection of Anatomical Risk Factors: A Retrospective, Multicentre Study. Jan. 2023. EBSCOhost, https://doi.org/10.2139/ssrn.4458922.

APA

Moyang Wang, Guan-Nan Niu, Yang Chen, Zheng Zhou, Dejing Feng, Yuxuan Zhang, & Yongjian Wu. (2023). Development and Validation of a Deep Learning-Based Fully Automated Algorithm for Pre-TAVR CT Assessment of the Aortic Valvular Complex and Detection of Anatomical Risk Factors: A Retrospective, Multicentre Study. https://doi.org/10.2139/ssrn.4458922

Chicago

Moyang Wang, Guan-Nan Niu, Yang Chen, Zheng Zhou, Dejing Feng, Yuxuan Zhang, and Yongjian Wu. 2023. “Development and Validation of a Deep Learning-Based Fully Automated Algorithm for Pre-TAVR CT Assessment of the Aortic Valvular Complex and Detection of Anatomical Risk Factors: A Retrospective, Multicentre Study,” January. doi:10.2139/ssrn.4458922.