Blar i Bergen Open Research Archive på forfatter "Munthe-Kaas, Antonella Zanna"

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    • Epistemic uncertainty quantification in deep learning classification by the Delta method 

      Nilsen, Geir Kjetil; Munthe-Kaas, Antonella Zanna; Skaug, Hans Julius; Brun, Morten (Journal article; Peer reviewed, 2022)
      The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters . We propose a low ...

    • Explicit volume-preserving splitting methods for divergence-free ODEs by tensor-product basis decompositions 

      Munthe-Kaas, Antonella Zanna (Peer reviewed; Journal article, 2014-02-23)
      We discuss the construction of volume-preserving splitting methods based on a tensor product of single-variable basis functions. The vector field is decomposed as the sum of elementary divergence-free vector fields (EDFVFs), ...

    • Issues in postgraduate supervision – a gender aspect. 

      Munthe-Kaas, Antonella Zanna (UPED-skrift nr. ?/2006, Working paper, 2006)
      Reaching a good gender balance in tenure positions within scientific subjects is an important goal for the University of Bergen. Women are reasonably represented at a bachelor, master and PhD level, though the figures ...

    • A nonlinear multi-scale model for blood circulation in a realistic vascular system 

      Qohar, Ulin Nuha Abdul; Munthe-Kaas, Antonella Zanna; Nordbotten, Jan Martin; Hanson, Erik Andreas (Journal article; Peer reviewed, 2021)
      In the last decade, numerical models have become an increasingly important tool in biological and medical science. Numerical simulations contribute to a deeper understanding of physiology and are a powerful tool for better ...

    • Normalized gradient fields for nonlinear motion correction of DCE-MRI time series 

      Hodneland, Erlend; Lundervold, Arvid; Rørvik, Jarle; Munthe-Kaas, Antonella Zanna (Peer reviewed; Journal article, 2014-04)
      Dynamic MR image recordings (DCE-MRI) of moving organs using bolus injections create two differenttypes of dynamics in the images: (i) spatial motion artifacts due to patient movements, breathing andphysiological pulsations ...