Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement
Authors
Jian Yang (ORCID: https://orcid.org/0000-0003-2059-1912)
Min Jin (ORCID: https://orcid.org/0000-0002-8798-1707)
Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement
Jian Yang, Min Jin, Timothée Noterdaeme, Rüdiger Lange et al.
Citations
1 citations
Journal
Therapeutic Advances in Cardiovascular Disease
Topics
Cardiac Valve Diseases and Treatments
Field-Weighted Citation Impact (FWCI)
1.39
article
Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement
Jian Yang, Min Jin, Timothée Noterdaeme, Rüdiger Lange, Jian Liu, Chenming Ma, Guozhong Chen, Yingqiang Guo, Haibo Zhang, Yu Mao
article en
1 citations
Abstract
No abstract available for this paper.
Publication Tag
Therapeutic Advances in Cardiovascular DiseaseVol. 19
Institutions
University of Liège (BE), Sichuan University (CN), West China Hospital of Sichuan University (CN), Nanjing Drum Tower Hospital (CN), Beijing Anzhen Hospital (CN), Guangdong Provincial People's Hospital (CN), Xijing Hospital (CN)