Associate Professor

Alexander Selvikvåg Lundervold

Department of Computer science, Electrical engineering and Mathematical sciences
Alexander Selvikvåg Lundervold
Tel: +47 55 58 77 12
Email: Send email
Bergen
KRONSTAD, E439-2
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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: http://alexander.lundervold.net

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

Publications

  • A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease

    Abolpour Mofrad, Samaneh, Lundervold, Arvid, Lundervold, Alexander Selvikvåg (2021)
    Computerized Medical Imaging and Graphics 2021

  • Cognitive and MRI trajectories for prediction of Alzheimer’s disease

    Abolpour Mofrad, Samaneh, Lundervold, Astri Johansen, Vik, Alexandra, Lundervold, Alexander Selvikvåg (2021)
    Scientific Reports 2021 Volum 11 ;

  • Automated segmentation of endometrial cancer on MR images using deep learning

    Hodneland, Erlend, Dybvik, Julie Andrea, Wagner-Larsen, Kari Strøno, Solteszova, Veronika, Zanna, Antonella, Fasmer, Kristine Eldevik, Krakstad, Camilla, Lundervold, Arvid, Lundervold, Alexander Selvikvåg, Salvesen, Øyvind, Erickson, Bradley J., Haldorsen, Ingfrid S (2021)
    Scientific Reports 2021 Volum 11 ;

  • Synthesizing skin lesion images using CycleGANs – a case study

    Fossen-Romsaas, Sondre, Storm-Johannessen, Adrian, Lundervold, Alexander Selvikvåg (2020)
    NIKT: Norsk IKT-konferanse for forskning og utdanning 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)
    NIKT: Norsk IKT-konferanse for forskning og utdanning 2020
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