Alexander Lundervold
Alexander Lundervold
Western Norway University of Applied Sciences. MMIV, Haukeland University Hospital.
Verified email at - Homepage
Cited by
Cited by
An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold
Zeitschrift für Medizinische Physik, 2018
On post-Lie algebras, Lie-Butcher series and moving frames
H Munthe-Kaas, A Lundervold
Foundations of Computational Mathematics 13 (4), 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
Hopf algebras of formal diffeomorphisms and numerical integration on manifolds
A Lundervold, H Munthe-Kaas
Contemporary Mathematics 539, 295-324, 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
Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras
K Ebrahimi-Fard, A Lundervold, D Manchon
International Journal of Algebra and Computation, 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
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
Backward error analysis and the substitution law for Lie group integrators
A Lundervold, H Munthe-Kaas
Foundations of Computational Mathematics 13 (2), 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
Lie–Butcher series and geometric numerical integration on manifolds
A Lundervold
University of Bergen, 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
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
Higher Order Cyclic Homology for Rational Algebras
A Lundervold
University of Bergen, 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
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
Synthesizing skin lesion images using CycleGANs – a case study
S Fossen-Romsaas, A Storm-Johannessen, AS Lundervold
Proceedings of NIK 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
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
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
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