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)
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
A. Prandoni, S. Saitta* -
Artificial Neural Networks for Uncertainty Quantification and Calibration of One-Dimensional Hemodynamics
M. Benmahdi*, O. Le Maître, P. Congedo -
Model Validation with Global Sensitivity Analysis for Polymeric Scaffolds in Restorative Heart Valves
G. Melito*, M. Rolf-Pissarczyk, M. Terzano, M. Wollner, G. Holzapfel, K. Ellermann -
An integrated multi-imaging AI-based pipeline to study cardiovascular hemodynamic indices: aortic and pulmonary vessels case studies
M. Mazzoli*, B. Fanni, M. Scarpolini, F. Dell'Agnello, S. Celi -
A Dynamic CT Based Pipeline To Assess Hemodynamic Indexes and Wall Stiffness of the Aorta
F. Dell'Agnello*, E. Vignali, K. Capellini, M. Scarpolini, E. Gasparotti, F. Cademartiri, S. Celi -
Patient-Based Stented Coronary Artery: from OCT Image Segmentation to Computational Domain
S. Nerzak, A. Ranno, T. Koritzius*, N. Schaaps, F. Vogt, M. Behr
