• Impact of baseline coronary flow and its distribution on Fractional Flow Reserve prediction 

      Muller, Lucas Omar; Fossan, Fredrik Eikeland; Bråten, Anders Tjellaug; Jørgensen, Arve; Wiseth, Rune; Hellevik, Leif Rune (Journal article; Peer reviewed, 2019)
      Model‐based prediction of fractional flow reserve (FFR) in the context of stable coronary artery disease (CAD) diagnosis requires a number of modelling assumptions. One of these assumptions is the definition of a baseline ...
    • Machine learning augmented reduced-order models for FFR-prediction 

      Fossan, Fredrik Eikeland; Müller, Lucas O.; Sturdy, Jacob; Bråten, Anders Tjellaug; Jørgensen, Arve; Wiseth, Rune; Hellevik, Leif Rune (Peer reviewed; Journal article, 2021)
      Computational predictions in cardiovascular medicine have largely relied on explicit models derived from physical and physiological principles. Recently, the application of artificial intelligence in cardiovascular medicine ...
    • Uncertainty quantification and sensitivity analysis for computational FFR estimation in stable coronary artery disease 

      Fossan, Fredrik Eikeland; Sturdy, Jacob; Muller, Lucas Omar; Strand, Andreas; Bråten, Anders Tjellaug; Jørgensen, Arve; Wiseth, Rune; Hellevik, Leif Rune (Journal article; Peer reviewed, 2018)
      Purpose The main objectives of this study are to validate a reduced-order model for the estimation of the fractional flow reserve (FFR) index based on blood flow simulations that incorporate clinical imaging and ...