T. Lassila

发表

Parametric free-form shape design with PDE models and reduced basis method

G. Rozza, T. Lassila, 2010 .

Geometrical multiscale model of an idealized left ventricle with fluid-structure interaction effects coupled to a one-dimensional viscoelastic arterial network

S. Deparis, T. Lassila, A. Malossi, 2011 .

Multiscale fluid-structure interaction simulation of patient-specific left ventricle fluid dynamics with fictitious elastic structure regularization

A. Redaelli, S. Deparis, E. Votta, 2012 .

Model Order Reduction in Fluid Dynamics: Challenges and Perspectives

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2014 .

This is a repository copy of Model Order Reduction in Fluid Dynamics : Challenges and Perspectives

A. Quarteroni, G. Rozza, A. Manzoni, 2013 .

Thermodynamically consistent orthotropic activation model capturing ventricular systolic wall thickening in cardiac electromechanics

A. Quarteroni, T. Lassila, A. Sequeira, 2014 .

A reduced computational and geometrical framework for inverse problems in hemodynamics

A. Quarteroni, G. Rozza, A. Manzoni, 2013, International journal for numerical methods in biomedical engineering.

FOR SHAPE OPTIMIZATION PROBLEMS

T. Lassila, 2010 .

Optimal damping of a membrane and topological shape optimization

T. Lassila, 2009 .

ROBUST DESIGN OF BYPASS ANASTOMOSES UNDER UNCERTAINTY

A. Quarteroni, G. Rozza, A. Manzoni, 2012 .

Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly

Alejandro F. Frangi, Alejandro F Frangi, T. Lassila, 2019, International journal for numerical methods in biomedical engineering.

Virtual endovascular treatment of intracranial aneurysms: models and uncertainty

Alejandro F. Frangi, Alejandro F Frangi, T. Lassila, 2017, Wiley interdisciplinary reviews. Systems biology and medicine.

ADAPTIVE MESH GENERATION METHODS FOR PATH CONSTRAINED OPTIMAL CONTROL

T. Lassila, 2008 .

Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease

Alejandro F. Frangi, Alejandro F Frangi, Z. Taylor, 2017, Interface Focus.

Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2013 .

School of Basic Sciences - Section of Mathematics

A. Manzoni, T. Lassila, S. Pagani, 2014 .

MOX-Report No . 19 / 2015 A coupled 3 D-1 D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network

Alejandro F. Frangi, Alejandro F Frangi, A. Quarteroni, 2015 .

Isogeometric approximation of cardiac electrophysiology models on surfaces: An accuracy study with application to the human left atrium

Alfio Quarteroni, Toni Lassila, Luca Dedè, 2017 .

ON THE APPROXIMATION OF STABILITY FACTORS FOR GENERAL PARAMETRIZED PARTIAL DIFFERENTIAL EQUATIONS WITH A TWO-LEVEL AFFINE DECOMPOSITION

G. Rozza, A. Manzoni, T. Lassila, 2012 .

Simulation of left ventricle fluid dynamics with mitral regurgitation from magnetic resonance images with fictitious elastic structure regularization

A. Redaelli, S. Deparis, E. Votta, 2017, 1707.03998.

In vitro methods in the study of reactive drug metabolites with liquid chromatography / mass spectrometry

T. Lassila, 2016 .

Investigating patient-specific cerebroventricular fluid complexity in dementia

Alejandro F. Frangi, Alejandro F Frangi, N. Ravikumar, 2016 .

Protective Role of False Tendon in Subjects with Left Bundle Branch Block: A Virtual Population Study

Alejandro F. Frangi, Alejandro F Frangi, L. Y. Di Marco, 2016, PloS one.

Glutathione trapping of reactive drug metabolites produced by biomimetic metalloporphyrin catalysts.

T. Lassila, S. Mattila, M. Turpeinen, 2015, Rapid communications in mass spectrometry : RCM.

In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Alejandro F. Frangi, T. Lassila, K. Roes, 2021, Nature communications.

Fluid–structure interaction for highly complex, statistically defined, biological media: Homogenisation and a 3D multi-compartmental poroelastic model for brain biomechanics

Alejandro F. Frangi, Yiannis Ventikos, Alejandro F Frangi, 2019, Journal of Fluids and Structures.

Reduced formulation of a steady-fluid structure interaction problem with parametric coupling

G. Rozza, T. Lassila, 2010, 1005.3384.

Model reduction of semiaffinely parameterized partial differential equations by two-level affine approximation

G. Rozza, T. Lassila, 2011 .

Pharmacokinetics of intra-articular vitamin D analogue calcipotriol in sheep and metabolism in human synovial and mesenchymal stromal cells

U. Bergmann, T. Lassila, P. Lehenkari, 2019, The Journal of Steroid Biochemistry and Molecular Biology.

A computational model for prediction of clot platelet content in flow-diverted intracranial aneurysms.

Alejandro F Frangi, T. Lassila, A. Sarrami-Foroushani, 2019, Journal of biomechanics.

Activity and Expression of Carboxylesterases and Arylacetamide Deacetylase in Human Ocular Tissues

T. Lassila, A. Urtti, P. Honkakoski, 2022, Drug Metabolism and Disposition.

Reduced basis method for the reliable model reduction of Navier-Stokes equations in cardiovascular modelling

G. Rozza, A. Manzoni, T. Lassila, 2010 .

Carboxylesterase Activities and Protein Expression in Rabbit and Pig Ocular Tissues

T. Lassila, A. Urtti, P. Honkakoski, 2021, Molecular pharmaceutics.

A 674 Toni Lassila IN VITRO METHODS IN THE STUDY OF REACTIVE DRUG METABOLITES WITH LIQUID CHROMATOGRAPHY / MASS SPECTROMETRY

T. Lassila, O. Vuolteenaho, S. Mattila, 2016 .

Tandem mass spectrometric analysis of S- and N-linked glutathione conjugates of pulegone and menthofuran and identification of P450 enzymes mediating their formation.

T. Lassila, O. Pelkonen, S. Mattila, 2016, Rapid communications in mass spectrometry : RCM.

Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty

Alfio Quarteroni, Gianluigi Rozza, Toni Lassila, 2013 .

Toxicity of Carboxylic Acid-Containing Drugs: The Role of Acyl Migration and CoA Conjugation Investigated.

T. Lassila, S. Mattila, J. Hokkanen, 2015, Chemical research in toxicology.

Predicting Plausible Human Purkinje Network Morphology from Simulations

Alejandro F Frangi, T. Lassila, M. Lange, 2019, 2019 Computing in Cardiology Conference (CinC).

Predicting Plausible Human Purkinje Network Morphology from Simulations

Alejandro F Frangi, Toni Lassila, Matthias Lange, 2019, 2019 Computing in Cardiology (CinC).

A coupled 3D-1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network

Alejandro F. Frangi, Alfio Quarteroni, Christian Vergara, 2016, J. Comput. Phys..

Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer's disease and aortic dissection.

Alejandro F Frangi, Y Ventikos, J C Vardakis, 2019, Morphologie : bulletin de l'Association des anatomistes.

Integrated Heart—Coupling multiscale and multiphysics models for the simulation of the cardiac function

Alfio Quarteroni, Ricardo Ruiz-Baier, Toni Lassila, 2017 .

Formation of GSH-trapped reactive metabolites in human liver microsomes, S9 fraction, HepaRG-cells, and human hepatocytes.

T. Lassila, O. Pelkonen, S. Mattila, 2015, Journal of pharmaceutical and biomedical analysis.

Model reduction and level set methods for shape optimization problems

Toni Lassila, T. Lassila, 2010 .

Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models

Andrea Manzoni, Toni Lassila, Stefano Pagani, 2016, SIAM/ASA J. Uncertain. Quantification.

Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability.

Ali Gooya, Alejandro F Frangi, Toni Lassila, 2016, Journal of biomechanics.

Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks

Alejandro F Frangi, A. Quarteroni, A. F. Frangi, 2017, International journal for numerical methods in biomedical engineering.

Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification

Alejandro F. Frangi, Alfio Quarteroni, Christian Vergara, 2015, FIMH.

Mathematical and Numerical Modeling of the Cardiovascular System

Z. Taylor, T. Lassila, J. Pozo, 2018 .

In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Alejandro F Frangi, Alejandro F. Frangi, T. Lassila, 2021, Nature Communications.

Investigating Dementia via a multicompartmental poroelastic model of parenchymal tissue

Alejandro F Frangi, Z. Taylor, N. Ravikumar, 2017 .

A Reduced Basis Model with Parametric Coupling for Fluid-Structure Interaction Problems

Gianluigi Rozza, Alfio Quarteroni, Toni Lassila, 2012, SIAM J. Sci. Comput..

Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation

Alejandro F. Frangi, Alejandro F Frangi, Toni Lassila, 2018, IEEE Transactions on Biomedical Engineering.

OPTIMAL DAMPING SET OF A MEMBRANE AND TOPOLOGY DISCOVERING SHAPE OPTIMIZATION

T. Lassila, 2007 .

Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics

Gianluigi Rozza, Andrea Manzoni, Toni Lassila, 2011, System Modelling and Optimization.

A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2012, HPSC.

Reduced Basis Approximation for Shape Optimization in Thermal Flows with a Parametrized Polynomial Geometric Map

Gianluigi Rozza, Andrea Manzoni, Toni Lassila, 2010 .

Model Reduction of Steady Fluid-Structure Interaction Problems with Free-Foem Deformations and Reduced Basis Methods

G. Rozza, T. Lassila, 2009 .

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

Alejandro F Frangi, Z. Taylor, N. Ravikumar, 2023, APL bioengineering.

Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network

Alejandro F. Frangi, Gemma Piella, Alejandro F Frangi, 2015, STACOM@MICCAI.

Extrahepatic in vitro metabolism of peptides; comparison of human kidney and intestinal S9 fraction, human plasma and proximal tubule cells, using cyclosporine A, leuprorelin, and cetrorelix as model compounds.

T. Lassila, A. Tolonen, Juha Jyrkäs, 2022, Journal of pharmaceutical and biomedical analysis.

Learned Local Attention Maps for Synthesising Vessel Segmentations

Alejandro F Frangi, N. Ravikumar, Rodrigo Bonazzola, 2023, ArXiv.

Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature

Alejandro F Frangi, N. Ravikumar, T. Lassila, 2023, DGM4MICCAI.

Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation

Alejandro F Frangi, A. Venneri, T. Lassila, 2018, IEEE Transactions on Biomedical Engineering.

Mathematical Modelling and Numerical Analysis on the Approximation of Stability Factors for General Parametrized Partial Differential Equations with a Two-level Affine Decomposition

G. Rozza, A. Manzoni, T. Lassila, 2022 .

Optimization of Convex Shapes: An Approach to Crystal Shape Identification

Timo Eirola, Toni Lassila, T. Eirola, 2009, SSVM.

ON THE APPROXIMATION OF STABILITY FACTORS FOR GENERAL PARAMETRIZED PARTIAL DIFFERENTIAL EQUATIONS WITH A TWO-LEVEL AFFINE DECOMPOSITION

G. Rozza, A. Manzoni, T. Lassila, 2012 .

Mathematical Modelling and Numerical Analysis Boundary Control and Shape Optimization for the Robust Design of Bypass Anastomoses under Uncertainty

A. Quarteroni, G. Rozza, A. Manzoni, 2022 .

On computing upper and lower bounds on the outputs of linear elasticity problems approximated by the smoothed finite element method

Gianluigi Rozza, Alfio Quarteroni, Toni Lassila, 2010 .

Accelerated simulation methodologies for computational vascular flow modelling

T. Lassila, A. Sarrami-Foroushani, Michael MacRaild, 2024, Journal of the Royal Society, Interface.

Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data

Alejandro F. Frangi, Alejandro F Frangi, Toni Lassila, 2018, MICCAI.