MS102C Numerical Methods for the Vascular System in Health and Disease III
MS Corresponding Organizer:
Dr.
Richard Schussnig
(
University of Augsburg, Institute of Mathematics, Chair of High-Performance Scientific Computing
, Germany
)
Chaired by:
Dr. Gian Marco Melito (TU Graz , Austria) , Ms. Anna Ranno (RWTH Aachen University , Germany)
Dr. Gian Marco Melito (TU Graz , Austria) , Ms. Anna Ranno (RWTH Aachen University , Germany)
Scheduled presentations:
-
Denoising and super-resolution of 4D flow MRI using computational fluid dynamics and deep learning
-
Artificial Neural Networks for Uncertainty Quantification and Calibration of One-Dimensional Hemodynamics
-
Model Validation with Global Sensitivity Analysis for Polymeric Scaffolds in Restorative Heart Valves
-
An integrated multi-imaging AI-based pipeline to study cardiovascular hemodynamic indices: aortic and pulmonary vessels case studies
-
A Dynamic CT Based Pipeline To Assess Hemodynamic Indexes and Wall Stiffness of the Aorta
-
Patient-Based Stented Coronary Artery: from OCT Image Segmentation to Computational Domain
