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Stefano Longobardi
Stefano Longobardi
Email verificata su kcl.ac.uk
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Linking statistical shape models and simulated function in the healthy adult human heart
C Rodero, M Strocchi, M Marciniak, S Longobardi, J Whitaker, MD O’Neill, ...
PLoS computational biology 17 (4), e1008851, 2021
482021
Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats
S Longobardi, A Lewalle, S Coveney, I Sjaastad, EKS Espe, WE Louch, ...
Philosophical Transactions of the Royal Society A 378 (2173), 20190334, 2020
352020
Regional diastolic dysfunction in post-infarction heart failure: role of local mechanical load and SERCA expression
T Re, M Ruud, EK Espe, O Manfra, S Longobardi, JM Aronsen, ...
Cardiovascular research 115 (4), 752-764, 2019
272019
Global sensitivity analysis of four chamber heart hemodynamics using surrogate models
E Karabelas, S Longobardi, J Fuchsberger, O Razeghi, C Rodero, ...
IEEE Transactions on Biomedical Engineering 69 (10), 3216-3223, 2022
172022
Modelling the interaction between stem cells derived cardiomyocytes patches and host myocardium to aid non-arrhythmic engineered heart tissue design
D Fassina, CM Costa, S Longobardi, E Karabelas, G Plank, SE Harding, ...
PLoS Computational Biology 18 (4), e1010030, 2022
92022
Tracking the motion of intracardiac structures aids the development of future leadless pacing systems
O Razeghi, M Strocchi, A Lee, S Longobardi, BS Sidhu, J Gould, ...
Journal of Cardiovascular Electrophysiology 31 (9), 2431-2439, 2020
92020
In silico identification of potential calcium dynamics and sarcomere targets for recovering left ventricular function in rat heart failure with preserved ejection fraction
S Longobardi, A Sher, SA Niederer
PLOS Computational Biology 17 (12), e1009646, 2021
62021
Calibration of cohorts of virtual patient heart models using bayesian history matching
C Rodero, S Longobardi, C Augustin, M Strocchi, G Plank, P Lamata, ...
Annals of Biomedical Engineering 51 (1), 241-252, 2023
52023
Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators
M Strocchi, S Longobardi, CM Augustin, MAF Gsell, A Petras, CA Rinaldi, ...
PLOS Computational Biology 19 (6), e1011257, 2023
32023
In silico mapping of the omecamtiv mecarbil effects from the sarcomere to the whole-heart and back again
S Longobardi, A Sher, SA Niederer
International Conference on Functional Imaging and Modeling of the Heart…, 2021
32021
Quantitative mapping of force–pCa curves to whole‐heart contraction and relaxation
S Longobardi, A Sher, SA Niederer
The Journal of Physiology 600 (15), 3497-3516, 2022
22022
Modelling the effects of conductive polymers and stem cells derived myocytes on scarred heart tissue
D Fassina, CM Costa, S Longobardi, SE Harding, SA Niederer
2020 Computing in Cardiology, 1-4, 2020
22020
Correction: Linking statistical shape models and simulated function in the healthy adult human heart
C Rodero, M Strocchi, M Marciniak, S Longobardi, J Whitaker, MD O’Neill, ...
PLOS Computational Biology 18 (5), e1010196, 2022
2022
Linking statistical shape models and simulated function in the healthy adult human heart (vol 17, e1008851, 2021)
C Rodero, M Strocchi, M Marciniak, S Longobardi, J Whitaker, MD O'Neill, ...
PLOS COMPUTATIONAL BIOLOGY 18 (5), 2022
2022
School of Biomedical Engineering & Imaging Sciences Faculty of Life Sciences & Medicine King’s College London
S Longobardi, SA Niederer, A Sher, P Challenor, G Miriams
2022
Quantifying the translation of cellular contraction mechanisms to left ventricular contractile behaviour using computational models of cardiac mechanics and their probabilistic…
S Longobardi
King's College London, 2022
2022
Quantifying Contributions of Cellular Mechanical Myocardial Properties on Left Ventricular Contractile Function in Aortic Banded Rats
S Longobardi, A Lewalle, CJ Musante, A Sher, SA Niederer
Biophysical Journal 118 (3), 421a, 2020
2020
Numerical Methods for Arterial Blood Flow Equations
S Longobardi
2017
Project on the nonlinear shallow water equations
S Longobardi
2016
Parameter Space Reduction for Four-chamber Electromechanics Simulations Using Gaussian Processes Emulators
M Strocchi, S Longobardi, CM Augustin, MAF Gsell, EJ Vigmond, G Plank, ...
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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