Christian Vergara

This study uses patient-specific Fluid-Structure Interaction simulations to predict post-TEVAR endoleaks by quantifying hemodynamic drag forces and proposing a risk factor R.

This study develops computational hemodynamic indices to predict Structural Valve Deterioration in TAVI patients using personalized simulations and clinical data.

This study uses computational modeling to analyze right heart hemodynamics in healthy and repaired Tetralogy of Fallot patients, revealing altered flow patterns and the impact of pulmonary valve replacement.

This study uses computational analysis to examine hemodynamic forces in descending thoracic aortic aneurysms, showing chaotic flow patterns and increased pressure in certain configurations.

The paper uses detailed human coronary microvasculature data to build a tool for personalized coronary-myocardium association and assesses its impact on myocardial perfusion simulations.

This study uses DIB-CFD modeling to assess the impact of sub-valvular structures and mitral valve dynamics on cardiac hemodynamics in healthy and regurgitant subjects.

This study identifies hemodynamic indices correlated with Transcatheter Aortic Valve Implantation degeneration using computational analysis of post-TAVI blood dynamics.

The paper develops a mathematical model of coronary microcirculation to simulate hyperemic blood flow and 3D myocardial perfusion in clinical cases.