A novel porous mechanical framework for modelling the interaction between coronary perfusion and myocardial mechanics von Cookson, A.N, Lee, J, Michler, C, Chabiniok, R, Hyde, E, Nordsletten, D.A, Sinclair, M, Siebes, M, Smith, N.P

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A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data von de Vecchi, A, Gomez, A, Pushparajah, K, Schaeffter, T, Simpson, J.M, Razavi, R, Penney, G.P, Smith, N.P, Nordsletten, D.A

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Patient specific fluid–structure ventricular modelling for integrated cardiac care von de Vecchi, A., Nordsletten, D. A., Razavi, R., Greil, G., Smith, N. P.

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Cerebrovascular super-resolution 4D Flow MRI – Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify in... von Ferdian, E., Marlevi, D., Schollenberger, J., Aristova, M., Edelman, E.R., Schnell, S., Figueroa, C.A., Nordsletten, D.A., Young, A.A.

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Coupling multi-physics models to cardiac mechanics von Nordsletten, D.A., Niederer, S.A., Nash, M.P., Hunter, P.J., Smith, N.P.

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Simulating left ventricular fluid–solid mechanics through the cardiac cycle under LVAD support von McCormick, M., Nordsletten, D.A., Kay, D., Smith, N.P.

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Estimation of Cardiovascular Relative Pressure Using Virtual Work-Energy von Marlevi, David, Ruijsink, Bram, Balmus, Maximilian, Dillon-Murphy, Desmond, Fovargue, Daniel, Pushparajah, Kuberan, Bertoglio, Cristóbal, Colarieti-Tosti, Massimiliano, Larsson, Matilda, Lamata, Pablo, Figueroa, C. Alberto, Razavi, Reza, Nordsletten, David A.

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Conservative and non-conservative arbitrary Lagrangian-Eulerian forms for ventricular flows von Nordsletten, D. A., Hunter, P. J., Smith, N. P.

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Left ventricular outflow obstruction predicts increase in systolic pressure gradients and blood residence time after transcatheter mitral valve replacement von De Vecchi, Adelaide, Marlevi, David, Nordsletten, David A., Ntalas, Ioannis, Leipsic, Jonathon, Bapat, Vinayak, Rajani, Ronak, Niederer, Steven A.

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Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy von Marlevi, David, Ha, Hojin, Dillon-Murphy, Desmond, Fernandes, Joao F., Fovargue, Daniel, Colarieti-Tosti, Massimiliano, Larsson, Matilda, Lamata, Pablo, Figueroa, C. Alberto, Ebbers, Tino, Nordsletten, David A.

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A computationally efficient framework for the simulation of cardiac perfusion using a multi-compartment Darcy porous-media flow model von Michler, C., Cookson, A. N., Chabiniok, R., Hyde, E., Lee, J., Sinclair, M., Sochi, T., Goyal, A., Vigueras, G., Nordsletten, D. A., Smith, N. P

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Towards a fast and efficient approach for modelling the patient-specific ventricular haemodynamics von de Vecchi, A., Gomez, A., Pushparajah, K., Schaeffter, T., Nordsletten, D.A., Simpson, J.M., Penney, G.P., Smith, N.P.

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Mechanistic modelling of Virchows triad to assess thrombogenicity and stroke risk in atrial fibrillation patients von Qureshi, A, Balmus, M, Lip, G Y H, Williams, S, Nordsletten, D A, Aslanidi, O, De Vecchi, A

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P588Flow profile for a better non-invasive pressure drop in CoA von Fernandes, J, Faraci, A, Sotelo, J, Urbina, J, Bertoglio, C, Uribe, S, Nordsletten, D A, Lamata, P

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False lumen pressure estimation in type B aortic dissection using 4D flow cardiovascular magnetic resonance: comparisons with aortic growth von Marlevi, David, Sotelo, Julio A., Grogan-Kaylor, Ross, Ahmed, Yunus, Uribe, Sergio, Patel, Himanshu J., Edelman, Elazer R., Nordsletten, David A., Burris, Nicholas S.

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Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRI von Marlevi, David, Schollenberger, Jonas, Aristova, Maria, Ferdian, Edward, Ma, Yue, Young, Alistair A., Edelman, Elazer R., Schnell, Susanne, Figueroa, C. Alberto, Nordsletten, David A.

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Mechanistic modelling of Virchows triad to assess thrombogenicity and stroke risk in atrial fibrillation patients von Qureshi, A, Balmus, M, Lip, G Y H, Williams, S, Nordsletten, D A, Aslanidi, O, De Vecchi, A

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Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy von Marlevi, David, Balmus, Maximilian, Hessenthaler, Andreas, Viola, Federica, Fovargue, Daniel, Vecchi, Adelaide de, Lamata, Pablo, Burris, Nicholas S., Pagani, Francis D., Engvall, Jan, Edelman, Elazer R., Ebbers, Tino, Nordsletten, David A.

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Non-invasive cardiovascular magnetic resonance assessment of pressure recovery distance after aortic valve stenosis von Fernandes, Joao Filipe, Gill, Harminder, Nio, Amanda, Faraci, Alessandro, Galli, Valeria, Marlevi, David, Bissell, Malenka, Ha, Hojin, Rajani, Ronak, Mortier, Peter, Myerson, Saul G., Dyverfeldt, Petter, Ebbers, Tino, Nordsletten, David A., Lamata, Pablo

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Multiphysics computational modeling in CHeart von Lee, J., Cookson, A., Roy, I., Kerfoot, E., Asner, L., Vigueras, G., Sochi, T., Deparis, S., Michler, C., Smith, N. P., Nordsletten, D. A.

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