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.
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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
Emanuele Gasparotti,Emanuele Vignali,Paola Losi,Marco Scatto,Benigno Marco Fanni,Giorgio Soldani,Luigi Landini,Vincenzo Positano,Simona Celi +8 more
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.
Katia Capellini,Emanuele Vignali,Emiliano Costa,Emanuele Gasparotti,Marco Evangelos Biancolini,Luigi Landini,Vincenzo Positano,Simona Celi +7 more
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.
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3D Printing in Modern Cardiology.
Simona Celi,Emanuele Gasparotti,Katia Capellini,Emanuele Vignali,Benigno Marco Fanni,Lamia Ait Ali,Massimiliano Cantinotti,Michele Murzi,Sergio Berti,Giuseppe Santoro,Vincenzo Positano +10 more
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.
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Modeling biomechanical interaction between soft tissue and soft robotic instruments: importance of constitutive anisotropic hyperelastic formulations:
Emanuele Vignali,Emanuele Gasparotti,Katia Capellini,Benigno Marco Fanni,Luigi Landini,Vincenzo Positano,Simona Celi +6 more
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
Leonardo Geronzi,Emanuele Gasparotti,Katia Capellini,Ubaldo Cella,Corrado Groth,Stefano Porziani,Andrea Chiappa,Simona Celi,Marco Evangelos Biancolini +8 more
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.