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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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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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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