Jan Brüning

Publications

• Impact of patient-specific LVOT inflow profiles on aortic valve prosthesis and ascending aorta hemodynamics
• Surgical Aortic Valve Replacement: Are We Able to Improve Hemodynamic Outcome?
• Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge.
• The Healthy Nasal Cavity-Characteristics of Morphology and Related Airflow Based on a Statistical Shape Model Viewed from a Surgeon's Perspective
• Computed Tomography-Based Assessment of Transvalvular Pressure Gradient in Aortic Stenosis
• User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters
• The Anterior Spreader Flap: A Minimally Invasive Alternative to the Auto Spreader Flap in the Treatment of Patients with Nasal Valve Dysfunction
• Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation.
• Numerical investigation of the impact of branching vessel boundary conditions on aortic hemodynamics
• Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity.
• Hemodynamic Evaluation of a Biological and Mechanical Aortic Valve Prosthesis Using Patient-Specific MRI-Based CFD.
• Model-Based Therapy Planning Allows Prediction of Haemodynamic Outcome after Aortic Valve Replacement.
• Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
• Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds
• Comparison of rhinomanometric and computational fluid dynamic assessment of nasal resistance with respect to measurement accuracy
• Towards improving the accuracy of aortic transvalvular pressure gradients: rethinking Bernoulli.
• Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.
• Beyond pressure gradients: The effects of intervention on heart power in aortic coarctation
• Numerical Analysis of Nasal Breathing: A Pilot Study
• Digital Analysis of Nasal Airflow Facilitating Decision Support in Rhinosurgery
• Uncertainty Quantification for Non-invasive Assessment of Pressure Drop Across a Coarctation of the Aorta Using CFD
• Development of a modeling pipeline for the prediction of hemodynamic outcome after virtual mitral valve repair using image-based CFD
• Simulation of a Right Anterior Thoracotomy Access for Aortic Valve Replacement Using a 3D Printed Model
• Flow simulation studies in coronary arteries-Impact of side-branches
• Non-dimensional modeling in flow simulation studies of coronary arteries including side-branches: A novel diagnostic tool in coronary artery disease
• Assessment of nasal resistance using computational fluid dynamics
• Numerical flow simulation: A new method for assessing nasal breathing,Numerische Strömungssimulation: Eine neue Methode zur Beurteilung der Nasenatmung
• The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms
• Turbulence in blood damage modeling
• Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters.
• Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics.
• Hemodynamic Modeling of Biological Aortic Valve Replacement Using Preoperative Data Only.
• Geometric uncertainty in intracranial aneurysm rupture status discrimination: a two-site retrospective study
• CT-Based Simulation of Left Ventricular Hemodynamics: A Pilot Study in Mitral Regurgitation and Left Ventricle Aneurysm Patients.
• Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.
• CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics.
• Population-based reference values for 4D flow MRI derived aortic blood flow parameters
• Publisher Correction: Model-Based Therapy Planning Allows Prediction of Haemodynamic Outcome after Aortic Valve Replacement.
• 3D modeling and printing for complex biventricular repair of double outlet right ventricle.
• Virtual treatment planning in three patients with univentricular physiology using computational fluid dynamics-Pitfalls and strategies.
• Generation of synthetic aortic valve stenosis geometries for in silico trials
• In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics.
• Deep Learning-Based Pulmonary Artery Surface Mesh Generation