Associate Professor

Alexander Selvikvåg Lundervold

Field of work

My main research activities are within machine learning and data analysis, with a particular focus on medical image analysis. I’m co-coordinating a research project on computational medical imaging and machine learning at the Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, where I'm also part of the center leadership team. A more detailed description of my research, together with links to my publications, can be found on my homepage:

Courses taught

  • DAT158: Machine learning engineering
  • DAT255: Practical deep learning
  • ELMED219: Artificial intelligence and computational medicine

Research areas

  • Data analysis
  • Computational medicine
  • Machine learning

Research groups


  • Synthesizing skin lesion images using CycleGANs – a case study

    Fossen-Romsaas, Sondre, Storm-Johannessen, Adrian, Lundervold, Alexander Selvikvåg (2020)
  • 2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai

    Kaliyugarasan, Satheshkumar, Kocinski, Marek, Lundervold, Arvid, Lundervold, Alexander Selvikvåg (2020)
  • AI could help with the next pandemic—but not with this one

    Lundervold, Alexander Selvikvåg, Heaven, Will Douglas (2020)
  • Association between free-living sleep and memory and attention in healthy adolescents

    Stefansdóttir, Runa, Gundersen, Hilde, Rögnvaldsdóttir, Vaka, Lundervold, Alexander Selvikvåg, Gestdóttir, Sunna, Gudmundsdóttir, Sigridur Lara, Chen, Kong Y., Brychta, Robert J., Johannsson, Erlingur (2020)
  • Association Between Free-living Sleep and Memory and Attention in Healthy Adolescents

    Stefansdottir, Runa, Gundersen, Hilde, Rognvaldsdottir, Vaka, Lundervold, Alexander Selvikvåg, Gestsdottir, Sunna, Gudmundsdottir, Sigridur Lara, Chen, Kong Y, Brychta, Robert J, Johannsson, Erlingur (2020)
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