A list of repositories used in research in the Scientific Computing Department follows. A link to relevant publications/preprints is referenced.
2025¶
- In-silico molecular enrichment and clearance of the human intracranial space Causemann et al. (2025)
- Advection versus diffusion in brain ventricular transport Herlyng et al. (2025)
- Stretch and flow at the gliovascular interface: high-fidelity modelling of the mechanics of astrocyte endfeet Causemann et al. (2025)
- Impact of segregation scheme on performance of a strongly coupled cardiac electromechanical solver Myklebust et al. (2025)
- A software benchmark for cardiac elastodynamics Aróstica et al. (2025)
- Arrhythmic Mitral Valve Syndrome: Insights from Left Ventricular End-Systolic Shape Analysis Monopoli et al. (2025)
- DeepValve: an automatic detection pipeline for the mitral valve in cardiac magnetic resonance imaging Monopoli et al. (2025)
2024¶
- Human brain MRI data of CSF tracer evolution over 72h for data-integrated simulations Riseth et al. (2025)
- The sodium/glucose cotransporter 2 inhibitor Empagliflozin inhibits long QT 3 late sodium currents in a mutation specific manner Lunsonga et al. (2025)
- An electrodiffusive network model with multicompartmental neurons and synaptic connections Sætra & Mori (2024)
- Automatic motion estimation with applications to hiPSC-CMs Finsberg et al. (2024)
- A computational study of right ventricular mechanics in a rat model of pulmonary arterial hypertension Odeigah et al. (2024)
2023¶
- Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation Vinje et al. (2023)
- Medical image registration using optimal control of a linear hyperbolic transport equation with a DG discretization Zapf et al. (2023)
- ffian: Fluid Flow In Astrocyte Networks Sætra et al. (2023)
- A novel density based approach for topology optimization of Stokes flow Haubner et al. (2023)
- The directional flow generated by peristalsis in perivascular networks—Theoretical and numerical reduced-order descriptions Gjerde et al. (2023)
2022¶
- Multi-compartmental model of glymphatic clearance of solutes in brain tissue Poulain et al. (2022)
- Geometrically reduced modelling of pulsatile flow in perivascular networks Daversin-Catty et al. (2022)
- Nitsche method for solving Navier-Stokes with slip boundary conditions Gjerde & Scott (2022)
- HAZniCS - Software Components for Multiphysics Problems Budisa et al. (2022)
2021¶
- An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain Sætra et al. (2021)
2018¶
- Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization Finsberg et al. (2018)
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- Causemann, M., Kuchta, M., Masri, R., & Rognes, M. E. (2025). In-silico molecular enrichment and clearance of the human intracranial space. bioRxiv. 10.1101/2025.01.30.635680
- Herlyng, H., Ellingsrud, A. J., Kuchta, M., Jeong, I., Rognes, M. E., & Jurisch-Yaksi, N. (2025). Advection versus diffusion in brain ventricular transport. Fluids and Barriers of the CNS, 22(1), 82. 10.1186/s12987-025-00692-3
- Causemann, M., Enger, R., & Rognes, M. E. (2025). Stretch and flow at the gliovascular interface: high-fidelity modelling of the mechanics of astrocyte endfeet. bioRxiv, 2025–05. 10.1101/2025.05.08.652799
- Myklebust, L., Arevalo, H., Daversin-Catty, C., Wall, S. T., & Finsberg, H. N. T. (2025). Impact of segregation scheme on performance of a strongly coupled cardiac electromechanical solver. Computer Methods in Applied Mechanics and Engineering, 446, 118270. https://doi.org/10.1016/j.cma.2025.118270
- Aróstica, R., Nolte, D., Brown, A., Gebauer, A., Karabelas, E., Jilberto, J., Salvador, M., Bucelli, M., Piersanti, R., Osouli, K., Augustin, C., Finsberg, H., Shi, L., Hirschvogel, M., Pfaller, M., Africa, P. C., Gsell, M., Marsden, A., Nordsletten, D., … Bertoglio, C. (2025). A software benchmark for cardiac elastodynamics. Computer Methods in Applied Mechanics and Engineering, 435, 117485. https://doi.org/10.1016/j.cma.2024.117485
- Monopoli, G., Sadeghinia, M. J., Westrum Aabel, E., Ribe, M., Castrini, A. I., Hasselberg, N., Bugge, C., Five, C., Haugaa, K., Balaban, G., & others. (2025). Arrhythmic Mitral Valve Syndrome: Insights from Left Ventricular End-Systolic Shape Analysis. International Conference on Functional Imaging and Modeling of the Heart, 26–36.
- Monopoli, G., Haas, D., Singh, A., Aabel, E. W., Ribe, M., Castrini, A. I., Hasselberg, N. E., Bugge, C., Five, C., Haugaa, K., & others. (2025). DeepValve: The first automatic detection pipeline for the mitral valve in Cardiac Magnetic Resonance imaging. Computers in Biology and Medicine, 192, 110211.
- Riseth, J. N., Koch, T., Lian, S. L., Stor\aas, T. H., Zikatanov, L. T., Valnes, L. M., Nordengen, K., & Mardal, K.-A. (2025). Human brain MRI data of CSF tracer evolution over 72h for data-integrated simulations. medRxiv, 2025–07. 10.1101/2025.07.23.25331971
- Lunsonga, L. C., Fatehi, M., Long, W., Barr, A. J., Gruber, B., Chattopadhyay, A., Barakat, K., Edwards, A. G., & Light, P. E. (2025). The sodium/glucose cotransporter 2 inhibitor Empagliflozin inhibits long QT 3 late sodium currents in a mutation specific manner. Journal of Molecular and Cellular Cardiology, 198, 99–111. https://doi.org/10.1016/j.yjmcc.2024.11.014
- Sætra, M. J., & Mori, Y. (2024). An electrodiffusive network model with multicompartmental neurons and synaptic connections. PLOS Computational Biology, 20(11), 1–33. 10.1371/journal.pcbi.1012114
- Finsberg, H. N. T., Charwat, V., Healy, K. E., & Wall, S. (2024). Automatic motion estimation with applications to hiPSC-CMs. Biomedical Physics & Engineering Express. 10.1088/2057-1976/ad7268
- Odeigah, O. O., Kwan, E. D., Garcia, K. M., Finsberg, H., Valdez-Jasso, D., & Sundnes, J. (2024). A computational study of right ventricular mechanics in a rat model of pulmonary arterial hypertension. Frontiers in Physiology, 15, 1360389.
- Vinje, V., Zapf, B., Ringstad, G., Eide, P. K., Rognes, M. E., & Mardal, K.-A. (2023). Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation. Fluids and Barriers of the CNS, 20(1), 62. 10.1186/s12987-023-00459-8
- Zapf, B., Haubner, J., Baumgärtner, L., & Schmidt, S. (2023). Medical image registration using optimal control of a linear hyperbolic transport equation with a DG discretization.
- Sætra, M. J., Ellingsrud, A. J., & Rognes, M. E. (2023). Neural activity induces strongly coupled electro-chemo-mechanical interactions and fluid flow in astrocyte networks and extracellular space–A computational study. PLOS Computational Biology, 19(7), 1–31. 10.1371/journal.pcbi.1010996