Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Louis Garber"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract In recent years, transcatheter aortic valve replacement (TAVR) has become the leading method for treating aortic stenosis. While the procedure has improved dramatically in the past decade, there are still uncertainties about the impact of TA
Externí odkaz:
https://doaj.org/article/6d164a0de9e34e5f89c6b9bf434e7b66
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-31 (2022)
Abstract Transcatheter aortic valve replacement (TAVR) is a frequently used minimally invasive intervention for patient with aortic stenosis across a broad risk spectrum. While coronary artery disease (CAD) is present in approximately half of TAVR ca
Externí odkaz:
https://doaj.org/article/d3507af74a5f4ae3a64946fbe5d4c068
Autor:
Seyedvahid Khodaei, Louis Garber, Mohamed Abdelkhalek, Nima Maftoon, Ali Emadi, Zahra Keshavarz‐Motamed
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 11 (2023)
Background Despite the proven benefits of transcatheter aortic valve replacement (TAVR) and its recent expansion toward the whole risk spectrum, coronary artery disease is present in more than half of the candidates for TAVR. Many previous studies do
Externí odkaz:
https://doaj.org/article/283dc00ac38f4be0aa812fa1234eb255
Publikováno v:
Archives of Computational Methods in Engineering. 29:2977-3000
Cardiovascular (CV) disease impacts tens of millions of people annually and carries a massive global economic burden. Continued advances in medical imaging, hardware and computational efficiency are leading to an increased interest in the field of ca
Autor:
Mason Kadem, Louis Garber, Mohamed Abdelkhalek, Baraa K. Al-Khazraji, Zahra Keshavarz-Motamed
Publikováno v:
IEEE reviews in biomedical engineering.
Cardiovascular disease is a deadly global health crisis that carries a substantial financial burden. Innovative treatment and management of cardiovascular disease straddles medicine, personalized hemodynamic modeling, machine learning, and modern ima