45 citations · 111 across the 12 of their papers we have counts for
13 papers
Hemodynamic Performance and Blood Damage of the Intra-Aortic Pumps: A CFD-Based Investigation
Osman Aycan, Yeojin Park, Lyes Kadem
Three intra-aortic blood pumps were evaluated and compared using CFD simulations. The aim of this study is to evaluate the hemodynamic performance and calculate the hemolytic poten…
End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri +11
Cardiac ultrasound (US) is among the most widely used diagnostic tools in cardiology for assessing heart health, but its effectiveness is limited by operator dependence, time const…
Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
Hanae Elmekki, Saidul Islam, Ahmed Alagha +12
Medical Ultrasound (US) imaging has seen increasing demands over the past years, becoming one of the most preferred imaging modalities in clinical practice due to its affordability…
CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning
Hanae Elmekki, Ahmed Alagha, Hani Sami +11
Cardiac ultrasound (US) scanning is a commonly used techniques in cardiology to diagnose the health of the heart and its proper functioning. Therefore, it is necessary to consider…
Numerical investigation of the flow induced by a transcatheter intra-aortic entrainment pump
Yeojin Park, Osman Aycan, Lyes Kadem
This study evaluates the fluid dynamics inside and outside transcatheter blood pump positioned in the aorta. We focus on the pump's impact on blood component damage and arterial wa…
Three-Dimensional Lagrangian Coherent Structures in Patients with Aortic Regurgitation
Wissam Abdallah, Ahmed Darwish, Julio Garcia +1
Understanding blood transport in cardiovascular flows is important for managing patients with cardiovascular disease. In this study, three-dimensional Lagrangian coherent structure…