TONDI, DAVIDE

TONDI, DAVIDE  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
An Automatic Computational Framework for TAVI Planning: from Patient-Specific Anatomy Reconstruction to Time-Efficient and Reliable Finite Element Simulation 1-gen-2025 Davide AstoriEleonora GattiCarolina LudoviciNicola BelpiedeDavide TondiAlberto RedaelliFrancesco SturlaEmiliano Votta +
Ascending aorta over-angulation is a risk factor for acute type A aortic dissection: evidence from advanced finite element simulations 1-gen-2025 Ianniruberto, IoneTondi, DavideSaitta, SimoneAstori, DavideRedaelli, AlbertoVotta, Emiliano +
Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach 1-gen-2025 Saitta S.Tondi D.Maisano F.Votta E. +
Automating fsi simulations to uncover the downstream effects of ascending aortic grafts: a prospective analysis of 20 patients 1-gen-2026 I. IannirubertoD. AstoriD. TondiE. VottaA. Redaelli +
From case studies to cohorts: automating fsi simulations to uncover the downstream effects of ascending aortic grafts 1-gen-2025 I. IannirubertoD. AstoriD. TondiG. NanniniE. VottaA. Redaelli +
Fsi-based digital twin for aortic graft optimization: a fully automated pipeline for patient-specific simulations 1-gen-2025 I. IannirubertoD. AstoriD. TondiG. NanniniE. VottaA. Redaelli +
Image-based framework for the tricuspid valve biomechanical FEA: initial application to RV free wall approximation 1-gen-2025 D. TondiS. VailettaF. SturlaA. RedaelliE. Votta
Magnetic resonance-based computational modelling of healthy and prolapsing mitral valves to quantify the load transfer between the mitral apparatus and the ventricular myocardium 1-gen-2026 Tondi D.Sturla F.Votta E. +
MitraClip device automated localization in 3D transesophageal echocardiography via deep learning 1-gen-2025 Tondi D.Ruozzi V.Sturla F.Votta E. +
The role of chordal apparatus and coaptation length in the progression towards mitral valve prolapse: biomechanical insight through FE modeling 1-gen-2024 Davide TondiAlberto RedaelliEmiliano Votta +