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Titolo Data di pubblicazione Autori File
Quantitative Approaches to Microcirculation 1-gen-2024 Paolo ZuninoKent-Andre Mardal +
Robust Preconditioning of Mixed-Dimensional PDEs on 3d-1d Domains Coupled with Lagrange Multipliers 1-gen-2024 Dimola, NunzioMardal, Kent-AndreZunino, Paolo +
A Computational Model of the Tumor Microenvironment Applied to Fractionated Radiotherapy 1-gen-2024 Possenti, LucaVitullo, PiermarioCostantino, Maria LauraZunino, Paolo +
Modeling hypoxia-induced radiation resistance and the impact of radiation sources 1-gen-2024 Possenti, LucaVitullo, PiermarioZunino, Paolo +
Mathematical and numerical analysis of reduced order interface conditions and augmented finite elements for mixed dimensional problems 1-gen-2024 Lespagnol, FabienZunino, Paolo +
A mixed-dimensional formulation for the simulation of slender structures immersed in an incompressible flow 1-gen-2024 Lespagnol, FabienZunino, Paolo +
Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy 1-gen-2024 Vitullo, PiermarioFranco, Nicola RaresZunino, Paolo
Application of deep learning reduced-order modeling for single-phase flow in faulted porous media 1-gen-2024 Ballini, EnricoFormaggia, LucaFumagalli, AlessioScotti, AnnaZunino, Paolo
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields 1-gen-2024 Franco, Nicola RaresFraulin, DanielManzoni, AndreaZunino, Paolo
Unveiling the biological side of PET-derived biomarkers: a simulation-based approach applied to PDAC assessment 1-gen-2024 Cavinato, LaraZunino, PaoloManzoni, AndreaIeva, Francesca +
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks 1-gen-2024 Vitullo, PColombo, AFranco, NRManzoni, AZunino, P
Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains 1-gen-2023 Heltai, LucaZunino, Paolo
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations 1-gen-2023 Franco, NicolaManzoni, AndreaZunino, Paolo
A three-dimensional method for morphological analysis and flow velocity estimation in microvasculature on-a-chip 1-gen-2023 Rota A.Possenti L.Rancati T.Zunino P.Kamm R. D.Costantino M. L. +
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression 1-gen-2023 Cicci L.Fresca S.Guo M.Manzoni A.Zunino P.
Sensitivity analysis of a multi-physics model for the vascular microenvironment 1-gen-2023 Vitullo P.Cicci L.Possenti L.Costantino M. L.Zunino P. +
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma 1-gen-2023 Cavinato, LaraZunino, PaoloManzoni, AndreaIeva, Francesca +
Approximation bounds for convolutional neural networks in operator learning 1-gen-2023 Franco, Nicola RaresFresca, StefaniaManzoni, AndreaZunino, Paolo
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces 1-gen-2023 Franco N. R.Manzoni A.Zunino P.
Learning high-order interactions for polygenic risk prediction 1-gen-2023 Franco N. R.Manzoni A.Paganoni A. M.Ieva F.Zunino P. +
Prediction of myocardial blood flow under stress conditions by means of a computational model 1-gen-2022 Di Gregorio S.Vergara C.Zunino P.Quarteroni A. +
Hybrid-dimensional models for blood flow and mass transport: Sequential and embedded 3D-1D models 1-gen-2022 L. FormaggiaP. Zunino
A coupled 3D-1D multiscale Keller-Segel model of chemotaxis and its application to cancer invasion 1-gen-2022 Bubba, FedericaCiarletta, PasqualeZunino, Paolo +
T cell therapy against cancer: A predictive diffuse-interface mathematical model informed by pre-clinical studies 1-gen-2022 Pozzi G.Zunino P.Ciarletta P. +
Iterative splitting schemes for a soft material poromechanics model 1-gen-2022 Zunino P.Quarteroni A. +
A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels 1-gen-2022 Gregorio, Simone DiDede', LucaZunino, PaoloVergara, ChristianQuarteroni, Alfio +
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks 1-gen-2021 N. FrancoA. ManzoniP. Zunino
A Posteriori Model Error Analysis of 3D-1D Coupled PDEs 1-gen-2021 Federica LaurinoPaolo Zunino +
A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature 1-gen-2021 Simone Di GregorioMarco FedelePaolo ZuninoChristian VergaraAlfio Quarteroni +
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 1-gen-2021 Massi, M.Franco, N.Ieva, F.Manzoni, A.Paganoni, A.Zunino, P. +
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study 1-gen-2021 Luca DedèFrancesco RegazzoniChristian VergaraPaolo ZuninoAlfio Quarteroni +
A Mesoscale Computational Model for Microvascular Oxygen Transfer 1-gen-2021 Possenti L.Cerroni D.Costantino M. L.Zunino P. +
A surrogate model for plaque modeling in carotids based on Robin conditions calibrated by cine MRI data 1-gen-2021 Pozzi S.Votta E.Zunino P.Redaelli A.Vergara C. +
Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model 1-gen-2021 Barnafi Wittwer N.Zunino P.Dede' L.Quarteroni A.
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 1-gen-2021 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaManzoni, AndreaPaganoni, Anna MariaZunino, Paolo +
Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers 1-gen-2021 Laurino, FedericaMardal, Kent-AndreZunino, Paolo +
Mathematical and numerical modeling of atherosclerotic plaque progression based on fluid-structure interaction 1-gen-2021 Pozzi S.Redaelli A.Vergara C.Votta E.Zunino P.
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 1-gen-2020 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaPaganoni, Anna MariaManzoni, AndreaZunino, Paolo +
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 1-gen-2020 M. C. MassiF. IevaA. PaganoniA. ManzoniP. ZuninoN. R. Franco +
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 1-gen-2020 Michela Carlotta MassiFrancesca IevaAnna Maria PaganoniPaolo ZuninoAndrea ManzoniNicola Rares Franco +
A global sensitivity analysis approach applied to a multiscale model of microvascular flow 1-gen-2020 Possenti, LDi Gregorio, SCasagrande, GCostantino, M LZunino, P +
A multiscale heat transfer model for nuclear reactor assemblies 1-gen-2020 Daniele, CerroniZunino, P. +
A hierarchical multiscale model for predicting the vascular behavior of blood-borne nanomedicines 1-gen-2020 Laurino F.Tiozzo A.Zunino P. +
In silico model of the early effects of radiation therapy on the microcirculation and the surrounding tissues 1-gen-2020 Laurino F.Possenti L.Zunino P. +
A Mixed Dimensional Model for the Interaction of a Well with a Poroelastic Material 1-gen-2020 Cerroni DanielePaolo Zunino +
Numerical solvers for a poromechanic problem with a moving boundary 1-gen-2019 Cerroni, DanieleZunino, Paolo +
A tissue chamber chip for assessing nanoparticle mobility in the extravascular space 1-gen-2019 Laurino, FedericaZunino, Paolo +
Derivation and analysis of coupled PDEs on manifolds with high dimensionality gap arising from topological model reduction 1-gen-2019 Laurino, FedericaZunino, Paolo
Application of Transmural Flow Across In Vitro Microvasculature Enables Direct Sampling of Interstitial Therapeutic Molecule Distribution 1-gen-2019 Possenti L.Zunino P.Kamm R. D. +
Computational modelling of microvasculature and microvascular environment 1-gen-2019 G. CasagrandeM. L. CostantinoP. Zunino +
Mostrati risultati da 1 a 50 di 150
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