5 citations · 7 across the 4 of their papers we have counts for
4 papers
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
Simone Saitta, Marcello Carioni, Subhadip Mukherjee +2
4D flow MRI is a non-invasive imaging method that can measure blood flow velocities over time. However, the velocity fields detected by this technique have limitations due to low r…
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning
Simone Saitta, Francesco Sturla, Riccardo Gorla +4
Accurate planning of transcatheter aortic implantation (TAVI) is important to minimize complications, and it requires anatomic evaluation of the aortic root (AR), commonly done thr…
Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta
Simone Saitta, Ludovica Maga, Chloe Armour +8
Numerical simulations of blood flow are a valuable tool to investigate the pathophysiology of ascending thoracic aortic aneurysms (ATAA). To accurately reproduce hemodynamics, comp…
Simulation of left ventricle fluid dynamics with mitral regurgitation from magnetic resonance images with fictitious elastic structure regularization
Toni Lassila, Cristiano Malossi, Marco Stevanella +3
Computer modeling can provide quantitative insight into cardiac fluid dynamics phenomena that are not evident from standard imaging tools. We propose a new approach to modeling lef…