scispace - formally typeset
E

Emanuele Gasparotti

Researcher at University of Pisa

Publications -  36
Citations -  258

Emanuele Gasparotti is an academic researcher from University of Pisa. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 5, co-authored 22 publications receiving 112 citations.

Papers
More filters
Journal ArticleDOI

A 3D printed melt-compounded antibiotic loaded thermoplastic polyurethane heart valve ring design: an integrated framework of experimental material tests and numerical simulations

TL;DR: In this article, the authors discuss valve pathologies such as valve stenosis, regurgitation, failure and similar, for which usually a valve substitution is performed. But valve substitution may not always be beneficial.
Journal ArticleDOI

Computational fluid dynamic study for aTAA hemodynamics: an integrated image-based and RBF mesh morphing approach.

TL;DR: A novel framework for the fluid dynamics analysis of healthy subjects and patients affected by ascending thoracic aorta aneurysm (aTAA) and the proposed integrated approach of RBF morphing technique and CFD simulation for aTAA was demonstrated.
Journal ArticleDOI

3D Printing in Modern Cardiology.

TL;DR: 3D printed models could be useful in interventional planning, although prospective studies with comprehensive and clinically meaningful endpoints are required to demonstrate the clinical utility.
Journal ArticleDOI

Modeling biomechanical interaction between soft tissue and soft robotic instruments: importance of constitutive anisotropic hyperelastic formulations:

TL;DR: A minimally invasive aortic valve positioning process through a previously designed soft robot was simulated, and the adoption of the weighting process for the fitting was successful, as it permitted an accurate prediction in the region of interest through models with less parameters.
Journal ArticleDOI

High fidelity fluid-structure interaction by radial basis functions mesh adaption of moving walls: A workflow applied to an aortic valve

TL;DR: An innovative method based on Radial Basis Functions (RBF) mesh morphing is proposed, allowing the retention of the same mesh topology suitable for a continuum update of the shape.