SCHILLACI, ANDREA

SCHILLACI, ANDREA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A CFD-Augmented Machine-Learning Approach for the Classification of Nasal Pathologies 1-gen-2022 Schillaci, A.Boracchi, G.Quadrio, M. +
An adjoint-based approach for the surgical correction of nasal septal deviations 1-gen-2024 Schillaci, AndreaQuadrio, Maurizio +
Bubble Cutting by Cylinder - Elimination of Wettability Effects by a Separating Liquid Film 1-gen-2022 Schillaci A. +
Classification of nasal pathologies: Enhancing Machine Learning with Computational Fluid Dynamics 1-gen-2023 Quadrio, M.Schillaci, A.Boracchi, G.
Comparing flow-based and anatomy-based features in the data-driven study of nasal pathologies 1-gen-2024 Schillaci, AndreaBoracchi, GiacomoQuadrio, Maurizio +
Importance of the numerical schemes in the CFD of the human nose 1-gen-2022 Schillaci, A.Quadrio, M.
Inferring Functional Properties from Fluid Dynamics Features 1-gen-2021 Schillaci, A.Quadrio, M.Restelli, M.Boracchi, G. +
Machine Learning and CFD Can Work Together for Surgery Planning in the Human Nose 1-gen-2024 Quadrio, M.Favero, A. R.Schillaci, A.
The Human Nasal Cavity: Towards the Optimal Surgery with CFD and Machine Learning 1-gen-2021 Schillaci, A.Restelli, M.Boracchi, G.Quadrio, M. +
Through the back door: expiratory accumulation of SARS-CoV-2 in the olfactory mucosa as mechanism for CNS penetration 1-gen-2021 Schillaci, A.Banchetti, J.Quadrio, M. +