Førsteamanuensis

Alexander Selvikvåg Lundervold

Institutt for datateknologi, elektroteknologi og realfag
Alexander Selvikvåg Lundervold
Tel: +47 55 58 77 12
Epost: Send epost
Bergen
KRONSTAD, E439-2
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Arbeids- og kompetanseområde

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

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

Forskar på
  • Dataanalyse
  • Beregningsorientert medisin
  • Maskinlæring

Forskargrupper

Publikasjonar

  • 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

  • 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)
    Scientific Reports 2020s. 1-13

  • 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)

  • An overview of deep learning in medical imaging focusing on MRI

    Lundervold, Alexander Selvikvåg, Lundervold, Arvid (2018)
    Zeitschrift für Medizinische Physik 2018s. 1-26

  • Fast estimation of kidney volumes and time courses in DCE-MRI using convolutional neural networks

    Lundervold, Alexander Selvikvåg, Sprawka, Katarzyna, Lundervold, Arvid (2018)

  • Research Agenda of the Mohn Medical Imaging and Visualization Centre in Bergen, Norway

    Smit, Noeska Natasja, Bruckner, Stefan, Hauser, Helwig, Haldorsen, Ingfrid S., Lundervold, Arvid, Lundervold, Alexander Selvikvåg, Hodneland, Erlend, Oltedal, Leif, Specht, Karsten, Grüner, Renate (2018)

  • «Deep learning» i medisin

    Lundervold, Alexander Selvikvåg (2017)
    HMT - Helsetjenesten Medisinsk Teknikk : helse, medisin, teknikk 2017 Volum 4 ;

  • Fast semi-supervised segmentation of the kidneys in DCE-MRI using convolutional neural networks and transfer learning

    Lundervold, Alexander Selvikvåg, Rørvik, Jarle, Lundervold, Arvid (2017)

  • Maskinlæring i medisin. Nytt norsk senter lærer datamaskiner å stille diagnose på sekunder

    Lundervold, Alexander Selvikvåg, Valle, Marius (2017)

  • Predicting irritable bowel syndrome (IBS) from brain MR imaging data using machine learning

    Lundervold, Arvid, Valestrand, Eivind Alexander, Lundervold, Alexander Selvikvåg, Hausken, Trygve (2017)

  • Python-based software for medical imaging and machine learning - an example from brain imaging in IBS

    Le Cornec, Kergann, Verdier, Olivier, Lundervold, Alexander Selvikvåg, Barra, Vincent, Lundervold, Arvid (2016)

  • Imaging-based modeling of the human larynx for simulation of airflow during exercise

    Lundervold, Alexander Selvikvåg (2016)

  • Imaging-based modeling of the human larynx for simulation of airflow during exercise

    Lundervold, Alexander Selvikvåg, Røksund, Ola Drange (2016)

  • Healthy body, healthy mind: Multi-paramatric evaluation of muscle function, performance and cognitive function – can images and biomarkers tell us what we need to know?

    Rygh, Cecilie Brekke, Gundersen, Hilde, Lundervold, Alexander Selvikvåg (2016)

  • Post-lie algebras and isospectral flows

    Ebrahimi-Fard, Kurusch, Lundervold, Alexander, Mencattini, Igor, Munthe-Kaas, Hans (2015)
    SIGMA. Symmetry, Integrability and Geometry 2015

  • On the Lie enveloping algebra of a post-Lie algebra

    Ebrahimi-Fard, Kurusch, Lundervold, Alexander, Munthe-Kaas, Hans (2015)
    Journal of Lie theory 2015 Volum 25 ;(4)s. 1139-1165

  • On algebraic structures of numerical integration on vector spaces and manifolds

    Lundervold, Alexander, Munthe-Kaas, Hans (2015)
    European Mathematical Society (EMS) Publishing House. Isbn: 978-3-03719-143-9. s. 219-264

  • Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras

    Ebrahimi-Fard, Kurusch, Lundervold, Alexander, Manchon, Dominique (2014)
    International journal of algebra and computation 2014 Volum 24 ;(671)

  • Backward Error Analysis and the Substitution Law for Lie Group Integrators

    Lundervold, Alexander, Munthe-Kaas, Hans (2013)
    Foundations of Computational Mathematics 2013 Volum 13 ;(2)s. 161-186

  • On post-lie algebras, lie-butcher series and moving frames

    Munthe-Kaas, Hans, Lundervold, Alexander (2013)
    Foundations of Computational Mathematics 2013 Volum 13 ;(4)s. 583-613

  • Algebraic structure of stochastic expansions and efficient simulation

    Ebrahimi-Fard, Kurusch, Lundervold, Alexander, Malham, Simon J. A., Munthe-Kaas, Hans, Wiese, Anke (2012)
    Proceedings of the Royal Society. Mathematical, Physical and Engineering Sciences 2012 Volum 468 ;(2144)s. 2361-2382

  • Lie-Butcher series and geometric numerical integration on manifolds

    Lundervold, Alexander (2011)

  • Hopf algebras of formal diffeomorphisms and numerical integration on manifolds

    Munthe-Kaas, Hans, Lundervold, Alexander (2011)
    Contemporary Mathematics 2011 Volum 539 ;

  • Higher Order Cyclic Homology for Rational Algebras

    Lundervold, Alexander (2007)
    Universitetet i Bergen. Isbn:

  • Application of nonlinear time series analysis to single-trial ERPs

    Lundervold, Arvid, Lundervold, Alexander, Nordby, Helge, Lundervold, Astri Johansen, Reinvang, Ivar (2003)