An overview of deep learning in medical imaging focusing on MRI AS Lundervold, A Lundervold Zeitschrift für Medizinische Physik, 2018 | 498 | 2018 |

On post-Lie algebras, Lie-Butcher series and moving frames H Munthe-Kaas, A Lundervold Foundations of Computational Mathematics 13 (4), 2013 | 64 | 2013 |

On the Lie enveloping algebra of a post-Lie algebra K Ebrahimi-Fard, A Lundervold, H Munthe-Kaas arXiv preprint arXiv:1410.6350, 2014 | 31 | 2014 |

Hopf algebras of formal diffeomorphisms and numerical integration on manifolds A Lundervold, H Munthe-Kaas Contemporary Mathematics 539, 295-324, 2011 | 27 | 2011 |

Post-Lie algebras and isospectral flows K Ebrahimi-Fard, A Lundervold, I Mencattini, HZ Munthe-Kaas SIGMA. Symmetry, Integrability and Geometry: Methods and Applications 11, 093, 2015 | 20 | 2015 |

Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras K Ebrahimi-Fard, A Lundervold, D Manchon International Journal of Algebra and Computation, 2014 | 20 | 2014 |

Algebraic structure of stochastic expansions and efficient simulation K Ebrahimi-Fard, A Lundervold, SJA Malham, H Munthe-Kaas, A Wiese Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2012 | 20 | 2012 |

On algebraic structures of numerical integration on vector spaces and manifolds A Lundervold, HZ Munthe-Kaas Faà di Bruno Hopf Algebras, Dyson–Schwinger Equations, and Lie–Butcher …, 2015 | 14* | 2015 |

Backward error analysis and the substitution law for Lie group integrators A Lundervold, H Munthe-Kaas Foundations of Computational Mathematics 13 (2), 2013 | 12 | 2013 |

Fast semi-supervised segmentation of the kidneys in DCE-MRI using convolutional neural networks and transfer learning AS Lundervold, J Rørvik, A Lundervold 2nd International Scientific Symposium, Functional Renal Imaging: Where …, 2017 | 4 | 2017 |

Lie–Butcher series and geometric numerical integration on manifolds A Lundervold University of Bergen, 2011 | 2 | 2011 |

Cognitive and MRI trajectories for prediction of Alzheimer’s disease SA Mofrad, AJ Lundervold, A Vik, AS Lundervold Scientific Reports 11 (1), 1-10, 2021 | 1 | 2021 |

2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai S Kaliyugarasan, M Kocinski, A Lundervold, AS Lundervold Proceedings of NIK 2020, 2020 | 1 | 2020 |

Higher Order Cyclic Homology for Rational Algebras A Lundervold University of Bergen, 2007 | 1 | 2007 |

A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease SA Mofrad, A Lundervold, AS Lundervold, ... Computerized Medical Imaging and Graphics, 101910, 2021 | | 2021 |

Automated segmentation of endometrial cancer on MR images using deep learning E Hodneland, JA Dybvik, KS Wagner-Larsen, V Šoltészová, ... Scientific reports 11 (1), 1-8, 2021 | | 2021 |

Synthesizing skin lesion images using CycleGANs – a case study S Fossen-Romsaas, A Storm-Johannessen, AS Lundervold Proceedings of NIK 2020, 2020 | | 2020 |

Association between free-living sleep and memory and attention in healthy adolescents R Stefansdottir, H Gundersen, V Rognvaldsdottir, AS Lundervold, ... Scientific reports 10 (1), 1-13, 2020 | | 2020 |

0337 Association Between Free-living Sleep and Memory and Attention in Healthy Adolescents R Stefansdottir, HS Gundersen, H Haraldsson, V Rognvaldsdottir, ... Sleep 43 (Supplement_1), A128-A128, 2020 | | 2020 |

Discrimination between Alzheimer’s disease, mild cognitive impairment and cognitively normal subjects using 3D T1w MRI-a multi-atlas, machine learning approach S Alam, A Lundervold, A Lundervold European Congress of Radiology 2020, 2020 | | 2020 |