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Kent-Andre Mardal

Hochschullehrer

Name	Kent-Andre Mardal
Place	Norwegen
Gender	männlich
Profession	Hochschullehrer (characteristic profession) Mathematiker
Related	Universitetet i Oslo
Further information	Professor in mechanics, Department of Mathematics, University of Oslo
Source	Internet: http://folk.uio.no/kent-and/
Record type	Person
GND-Identifier	1200675940
Record ID	1200675940
Involved in show all Human brain MRI data of intrathecally injected tracer evolution over 72 hours for data-integrated simulations Modeling CSF circulation and the glymphatic system during infusion using subject specific intracranial pressures and brain geometries Quantitative Approaches to Microcirculation : Mathematical Models, Computational Methods and Data Analysis Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation Investigating molecular transport in the human brain from MRI with physics-informed neural networks Encoder–decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis Direction and magnitude of cerebrospinal fluid flow vary substantially across central nervous system diseases Accurate discretization of poroelasticity without Darcy stability : Stokes–Biot stability revisited Intracranial pressure elevation alters CSF clearance pathways Respiratory influence on cerebrospinal fluid flow – a computational study based on long-term intracranial pressure measurements “Bucket” cerebrospinal fluid bulk flow: when the terrain disagrees with the map Magnitude and direction of aqueductal cerebrospinal fluid flow: large variations in patients with intracranial aneurysms with or without a previous subarachnoid hemorrhage Weakly Imposed Symmetry and Robust Preconditioners for Biot’s Consolidation Model The association between the pulse pressure gradient at the cranio-cervical junction derived from phase-contrast magnetic resonance imaging and invasively measured pulsatile intracranial pressure in symptomatic patients with Chiari malformation type 1 Automated solution of differential equations by the finite element method : the FEniCS book Automated Solution of Differential Equations by the Finite Element Method : The FEniCS Book

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Kent-Andre Mardal

Human brain MRI data of intrathecally injected tracer evolution over 72 hours for data-integrated simulations

Modeling CSF circulation and the glymphatic system during infusion using subject specific intracranial pressures and brain geometries

Quantitative Approaches to Microcirculation : Mathematical Models, Computational Methods and Data Analysis

Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation

Investigating molecular transport in the human brain from MRI with physics-informed neural networks

Encoder–decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis

Direction and magnitude of cerebrospinal fluid flow vary substantially across central nervous system diseases

Accurate discretization of poroelasticity without Darcy stability : Stokes–Biot stability revisited

Intracranial pressure elevation alters CSF clearance pathways

Respiratory influence on cerebrospinal fluid flow – a computational study based on long-term intracranial pressure measurements

“Bucket” cerebrospinal fluid bulk flow: when the terrain disagrees with the map

Magnitude and direction of aqueductal cerebrospinal fluid flow: large variations in patients with intracranial aneurysms with or without a previous subarachnoid hemorrhage

Weakly Imposed Symmetry and Robust Preconditioners for Biot’s Consolidation Model

The association between the pulse pressure gradient at the cranio-cervical junction derived from phase-contrast magnetic resonance imaging and invasively measured pulsatile intracranial pressure in symptomatic patients with Chiari malformation type 1

Automated solution of differential equations by the finite element method : the FEniCS book

Automated Solution of Differential Equations by the Finite Element Method : The FEniCS Book