Alexander Lundervold

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Citations	2833	2675
h-index	14	13
i10-index	18	17

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Arvid Lundervold, BSc, MD, PhDProfessor of Medical Information Technology and Physiology, University of BergenVerified email at uib.no
Hans Munthe-KaasProfessor of Mathematics, University of Bergen, NorwayVerified email at math.uib.no
Kurusch Ebrahimi-FardProfessor of Mathematics, Norwegian University of Science and Technology NTNUVerified email at ntnu.no
Astri LundervoldUniversitetet i BergenVerified email at uib.no
Satheshkumar KaliyugarasanPhD candidate, Western Norway University of Applied Sciences, Department of Computer scienceVerified email at hvl.no
Marek Kocinski(1) Mohn Medical Imaging and Visualization Centre (MMIV); (2) Department of Biomedicine, UniversityVerified email at p.lodz.pl
Ingfrid Salvesen HaldorsenMohn Medical Imaging and Visualization Centre, Prof. at Univ of Bergen, Haukeland Univ. Hosp.Verified email at uib.no
Erlend HodnelandHaukeland University HospitalVerified email at uib.no
Simon J.A. MalhamAssociate Professor of Mathematics, Heriot-Watt UniversityVerified email at hw.ac.uk
Kari S. Wagner-LarsenPhD ved Universitetet i Bergen/Helse VestVerified email at helse-bergen.no
Bradley J EricksonProfessor of Radiology, Mayo ClinicVerified email at mayo.edu
Noeska SmitAssociate Professor at the University of Bergen, NorwayVerified email at uib.no
Erlingur JohannssonprofessorVerified email at hi.is
Hilde GundersenFørsteamanuensis ved Høgskolen på VestlandetVerified email at hvl.no
Kong ChenDirector, Human Energy & Body Weight Regulation CoreVerified email at niddk.nih.gov
Igor MencattiniAssociated Professor, ICMC, USPVerified email at icmc.usp.br

Alexander Lundervold

Other namesAlexander Selvikvåg Lundervold, Alexander S. Lundervold

(1) Western Norway University of Applied Sciences. (2) MMIV, Haukeland University Hospital.

Verified email at hvl.no - Homepage

Machine learning Machine learning engineering Artificial Intelligence Medical AI


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An overview of deep learning in medical imaging focusing on MRI AS Lundervold, A Lundervold Zeitschrift für Medizinische Physik 29 (2), 102-127, 2019	2218	2019
On post-Lie algebras, Lie-Butcher series and moving frames H Munthe-Kaas, A Lundervold Foundations of Computational Mathematics 13 (4), 2013	110	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	64	2014
Automated segmentation of endometrial cancer on MR images using deep learning E Hodneland, JA Dybvik, KS Wagner-Larsen, V Šoltészová, ... Scientific reports 11 (1), 179, 2021	55	2021
Cognitive and MRI trajectories for prediction of Alzheimer’s disease SA Mofrad, AJ Lundervold, A Vik, AS Lundervold Scientific reports 11 (1), 2122, 2021	48	2021
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	40	2021
Hopf algebras of formal diffeomorphisms and numerical integration on manifolds A Lundervold, H Munthe-Kaas Contemporary Mathematics 539, 295-324, 2011	36	2011
Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras K Ebrahimi-Fard, A Lundervold, D Manchon International Journal of Algebra and Computation, 2014	31	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	30	2012
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	28	2015
Predicting conversion to Alzheimer's disease in individuals with Mild Cognitive Impairment using clinically transferable features I Rye, A Vik, M Kocinski, AS Lundervold, AJ Lundervold Scientific Reports 12 (1), 15566, 2022	23	2022
Backward error analysis and the substitution law for Lie group integrators A Lundervold, H Munthe-Kaas Foundations of Computational Mathematics 13 (2), 2013	23	2013
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	21	2022
On algebraic structures of numerical integration on vector spaces and manifolds A Lundervold, HZ Munthe-Kaas arXiv preprint arXiv:1112.4465, 2011	16	2011
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	14	2017
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	13	2021
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	13	2020
Synthesizing skin lesion images using CycleGANs – a case study S Fossen-Romsaas, A Storm-Johannessen, AS Lundervold Proceedings of NIK 2020, 2020	11	2020
Functional activity level reported by an informant is an early predictor of Alzheimer’s disease A Vik, M Kociński, I Rye, AJ Lundervold, AS Lundervold BMC geriatrics 23 (1), 205, 2023	7	2023
Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers K Dyrland, AS Lundervold, PGL Mana arXiv preprint arXiv:2302.12006, 2023	6	2023

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