M. E. Rognes. Mathematical modelling of human brain transport: from medical images to biophysical simulation In Laboratoire Mechnique des Solides, École Polytechnique, Paris, France., 2022.

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M. E. Rognes. Mathematical modelling of human brain transport: from medical images to biophysical simulation In UCSD Institute for Neural Computation seminar series, La Jolla, CA, USA., 2022.

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M. E. Rognes. Mathematical modelling of human brain transport: from medical images to biophysical simulation In Pretty Porous Science Seminar, University of Stuttgart, Stuttgart, Germany., 2022.

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M. E. Rognes. Mathematical modelling of human brain transport: from medical images to biophysical simulation In ECCOMAS Conference, Oslo, Norway., 2022.

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M. J. Sætra, A. J. Ellingsrud and M. E. Rognes. Modeling electrodiffusive, osmotic, and hydrostatic interplay in astrocyte networks. Neuroscience 2022: Society for Neuroscience, 2022.

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C. Daversin-Catty, V. Vinje, I. Gjerde, K. Mardal and M. E. Rognes. Modeling fluid flow in perivascular networks In ECCOMAS22, Oslo (Norway)., 2022.

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M. Causemann, V. Vinje and M. E. Rognes. The pulsating brain: an interface-coupled fluid-poroelastic model of the cranial cavity In ECCOMAS Congress 2022, Oslo, Norway. ECCOMAS CONGRESS 2022, 2022.

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eccomas_pulsatility.pdf (4.88 MB)

Q. Hong, J. Kraus, M. Kuchta, M. Lymbery, K. Mardal and M. E. Rognes. "Robust approximation of generalized Biot-Brinkman problems." Journal on Scientific Computing 93, no. 3 (2022): 77.

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X. Lai, H. A. Taskén, T. Mo, S. W. Funke, A. Frigessi, M. E. Rognes and A. Kohn-Luque. "A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy." International Journal for Numerical Methods in Biomedical Engineering 38, no. 1 (2022): e3542.

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M. Causemann, V. Vinje and M. E. Rognes. Software and Data for "Human intracranial pulsatility during the cardiac cycle: a computational modelling framework". Zenodo, 2022.

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M. E. Rognes. Such stuff as dreams are made on: a computational tale of optimal transport and brain clearance In IEEE Brain Discovery Workshop on Brain, Mind and Body: Cognitive Neuroengineering for Health and Wellness., 2022.

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M. E. Rognes. Such stuff as dreams are made on: a finite element tale of optimal transport and brain clearance In Acta Numerica 30th Birthday Conference, Banach Centre at Bedlewo, Poland., 2022.

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A. J. Ellingsrud, D. B. Dukefoss, R. Enger, G. Halnes, K. Pettersen and M. E. Rognes. "Validating a computational framework for ionic electrodiffusion with cortical spreading depression as a case study." eNeuro 9 (2022).

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M. E. Rognes. Waterscales: Mathematical and computational foundations for modelling cerebral fluid flow In European Mathematical Society Magazine. Vol. 126. European Mathematical Society, 2022.

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C. Daversin-Catty, C. N. Richardson, A. J. Ellingsrud and M. E. Rognes. "Abstractions and automated algorithms for mixed-dimensional finite element methods." ACM Transactions on Mathematical Software 47, no. 4 (2021): 1-36.

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K. Mardal, M. E. Rognes and T. Thompson. "Accurate discretization of poroelasticity without Darcy stability – Stokes-Biot revisited." BIT Numerical Mathematics 61 (2021): 941-976.

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A. J. Ellingsrud and M. E. Rognes. Accurate numerical simulation of electrodiffusion and water movement in brain tissue with cortical spreading depression as a case study In Interpore 13th annual meeting (online), Edited by P. Farrell, N. Boullé, D. B. Dukefoss, R. Enger, K. Pettersen and G. Halnes. Online, 2021.

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A. J. Ellingsrud, N. Boullé, P. E. Farrell and M. E. Rognes. "Accurate numerical simulation of electrodiffusion and water movement in brain tissue." IMA Mathematical Medicine and Biology 38, no. 4 (2021): 516-551.

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M. E. Rognes. Brain modelling: from magnetic resonance images to finite element simulation - a lecture series In Porous Media Math Seminar Series, University of Bergen, Norway., 2021.

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V. Vinje, E. N. T. P. Bakker and M. E. Rognes. "Brain solute transport is more rapid in periarterial than perivenous spaces." Scientific Reports 11 (2021).

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vinje2021.pdf (2.05 MB)

A. J. Ellingsrud, C. Daversin-Catty and M. E. Rognes. "A cell-based model for ionic electrodiffusion in excitable tissue." In Modeling Excitable Tissue: The EMI Framework, edited by K. Mardal, M. E. Rognes and A. Tveito, 14-27. Cham: Springer International Publishing, 2021.

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A. J. Ellingsrud, C. Daversin-Catty and M. E. Rognes. "A cell-based model for ionic electrodiffusion in excitable tissue." In Modeling Excitable Tissue: The EMI Framework, edited by K. Mardal, M. E. Rognes and A. Tveito, 14-27. Cham: Springer International Publishing, 2021.

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M. E. Rognes. Computational brainphatics In 2021 SIAM Conference on Computational Science and Engineering., 2021.

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M. E. Rognes. Depressed brain cells - a numerical perspective In 6th Oxford International Neuron and Brain Mechanics Workshop, Oxford, UK., 2021.

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K. H. Jæger and A. Tveito. "Derivation of a Cell-Based Mathematical Model of Excitable Cells." In Modeling Excitable Tissue: The EMI Framework, edited by A. Tveito, K. Mardal and M. E. Rognes, 1-13. Vol. 7. Cham: Springer International Publishing, 2021.

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