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Erik Andreas Hanson's picture

Erik Andreas Hanson

Associate Professor
  • E-mailErik.Hanson@uib.no
  • Phone+47 55 58 48 75
  • Visitor Address
    Realfagbygget, All├ęgaten 41
  • Postal Address
    Postboks 7803
    5020 Bergen
Academic article
  • Show author(s) (2019). Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments . Lecture Notes in Computational Science and Engineering. 66-82.
  • Show author(s) (2019). A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model. PLoS Computational Biology. 1-31.
  • Show author(s) (2018). In vivo detection of chronic kidney disease using tissue deformation fields from dynamic MR imaging. IEEE Transactions on Biomedical Engineering. 1779-1790.
  • Show author(s) (2018). Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements. PLOS ONE. 1-16.
  • Show author(s) (2017). Workflow sensitivity of post-processing methods in renal DCE-MRI. Magnetic Resonance Imaging. 60-68.
  • Show author(s) (2016). Physical models for simulation and reconstruction of human tissue deformation fields in dynamic MRI. IEEE Transactions on Biomedical Engineering. 2200-2210.
  • Show author(s) (2016). Dynamic contrast-enhanced MRI measurement of renal function in healthy participants. Acta Radiologica. 748-757.
  • Show author(s) (2014). Segmentation-driven image registration-application to 4D DCE-MRI recordings of the moving kidneys. IEEE Transactions on Image Processing. 2392-2404.
  • Show author(s) (2013). Local/non-local regularized image segmentation using graph-cuts. International Journal of Computer Assisted Radiology and Surgery. 1073-1084.
Lecture
  • Show author(s) (2017). Modelling of brain perfusion.
  • Show author(s) (2017). Graph representations of vessel flow.
Academic lecture
  • Show author(s) (2021). Computational Study of Vessel Occlusion using a Nonlinear Multiscale Blood Flow Model.
  • Show author(s) (2021). A computational fluid dynamics framework to generate digital reference objects for perfusion imaging.
  • Show author(s) (2019). A study of blood flow regulation on collateral circulation using multiscale flow model.
  • Show author(s) (2019). A multi-scale flow model for studying blood circulation in the vascular system.
  • Show author(s) (2018). Mathematical perfusion.
  • Show author(s) (2017). Models suited for data assimilation.
  • Show author(s) (2015). Reproducibility and agreement in quantification of renal function using 1.5-T DCE-MRI.
Doctoral dissertation
  • Show author(s) (2014). Image processing methods for 4D magnetic resonance acquisitions from brain and kidney.
Abstract
  • Show author(s) (2013). Combined motion correction and segmentation of DCE-MRI kidney data. Acta Radiologica. 7-8.
Poster
  • Show author(s) (2019). Fractal vascular structure optimization based on a multi-scale blood flow model.
  • Show author(s) (2014). Poroelastic regularization of image registration.

More information in national current research information system (CRIStin)