Coronary CT angiography–derived fractional flow reserve: machine learning algorithm versus computational fluid dynamics modeling

C Tesche, CN De Cecco, S Baumann, M Renker… - Radiology, 2018 - pubs.rsna.org
Purpose To compare two technical approaches for determination of coronary computed
tomography (CT) angiography–derived fractional flow reserve (FFR)—FFR derived from …
被引用次数：260 相关文章

Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling

C Tesche, CN De Cecco, S Baumann… - …, 2018 - pubmed.ncbi.nlm.nih.gov
Purpose To compare two technical approaches for determination of coronary computed
tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR derived from …

Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

C Tesche, CN De Cecco, S Baumann, M Renker… - Radiology, 2018 - europepmc.org
Purpose To compare two technical approaches for determination of coronary computed
tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR derived from …

Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling

C Tesche, CN De Cecco, S Baumann, M Renker… - Radiology, 2018 - pubs.rsna.org
Purpose To compare two technical approaches for determination of coronary computed
tomography (CT) angiography–derived fractional flow reserve (FFR)—FFR derived from …

[引用][C] Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling

C Tesche, CN De Cecco, S Baumann, M Renker… - Radiology, 2018 - cir.nii.ac.jp
Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm
versus Computational Fluid Dynamics Modeling | CiNii Research CiNii 国立情報学研究所 学術 …