Alexander Lundervold
Alexander Lundervold
Other namesAlexander Selvikvåg Lundervold, Alexander S. Lundervold
(1) Western Norway University of Applied Sciences. (2) 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 29 (2), 102-127, 2019
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
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
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 90, 101910, 2021
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
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
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
On algebraic structures of numerical integration on vector spaces and manifolds
A Lundervold, HZ Munthe-Kaas
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
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
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI
S Kaliyugarasan, A Lundervold, AS Lundervold
International Journal of Interactive Multimedia and Artificial Intelligence …, 2021
Synthesizing skin lesion images using CycleGANs – a case study
S Fossen-Romsaas, A Storm-Johannessen, AS Lundervold
Proceedings of NIK 2020, 2020
Does the evaluation stand up to evaluation?: A first-principle approach to the evaluation of classifiers
K Dyrland, AS Lundervold, PGLP Mana
OSF Preprints, 2022
Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer
E Hodneland, S Kaliyugarasan, KS Wagner-Larsen, N Lura, E Andersen, ...
Cancers 14 (10), 2372, 2022
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
Brain Age versus Chronological Age: A Large Scale MRI and Deep Learning Investigation
S Kaliyugarasan, A Lundervold, AS Lundervold
European Congress of Radiology 2020, 2020
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