CV

Employment

Education

Publications

2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai.
Kaliyugarasan S, Kocinski M, Lundervold A, Lundervold AS. , To appear in the Proceedings of the NIK-2020 conference, 2020
Synthesizing skin lesion images using CycleGANs – a case study.
Fossen-Romsaas S, Storm-Johannessen A, Lundervold AS. , To appear in the Proceedings of the NIK-2020 conference, 2020
Association between free-living sleep and memory and attention in healthy adolescents.
R. Stefansdottir et.al., Scientific Reports, 2020
An overview of deep learning in medical imaging focusing on MRI
with A. Lundervold, Zeitschrift fuer Medizinische Physik, Volume 29, Issue 2, 2019
Fast estimation of kidney volumes and time courses in DCE-MRI using convolutional neural networks
with K. Sprawka, A. Lundervold. Scientific Paper at ECR 2018, Austria Center Vienna, Austria, Feb. 2018
​​Fast semi-supervised segmentation of the kidneys in DCE-MRI using convolutional neural networks and transfer learning
with A. Lundervold, J. Rørvik. Functional Renal Imaging: Where Physiology, Nephrology, Radiology and Physics Meet, Max Delbrück Communications Center, Berlin, Oct. 2017
​​"Deep learning" i medisin
HMT, 2017/4
Post-Lie algebras and isospectral flows
with K. Ebrahimi-Fard, I. Mencattini, H.Z. Munthe-Kaas Symmetry, Integrability and Geometry: Methods and Applications (SIGMA), 11, 093, 2015
arXiv version
On the Lie enveloping algebra of a post-Lie algebra
with K. Ebrahimi-Fard and H.Z. Munthe-Kaas, Journal of Lie Theory, Vol. 25, No. 4, 1139--1165, 2015
arXiv version
On algebraic structures of numerical integration on vector spaces and manifolds
with H.Z. Munthe-Kaas, IRMA Lectures in Mathematics and Theoretical Physics Vol. 21, 2015
arXiv version
Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras
with K. Ebrahimi-Fard and D. Manchon, International Journal of Algebra and Computation, Volume 24, Issue 5, 2014
arXiv version
On post-Lie algebras, Lie–Butcher series and moving frames
with H.Z. Munthe-Kaas, Foundations of Computational Mathematics, Volume 13, Issue 4, 2013
arXiv version
Backward error analysis and the substitution law for Lie group integrators
with H.Z. Munthe-Kaas, Foundations of Computational Mathematics, Volume 13, Issue 2, 2013
arXiv version
Algebraic structure of stochastic expansions and universally accurate simulation
with K. Ebrahimi-Fard, S.J.A. Malham, H.Z. Munthe-Kaas, A. Wiese, Proceedings of the Royal Society. Mathematical, Physical and Engineering Sciences, Volume 468 (2144), 2012
arXiv version
Hopf algebras of formal diffeomorphisms and numerical integration on manifolds
with H.Z. Munthe-Kaas, Contemporary Mathematics, 539, 2011
arXiv version

Selected conference posters

Brain Age versus Chronological Age: A Large Scale MRI and Deep Learning Investigation
S. Kaliyugarasan, A. Lundervold and A.S. Lundervold Poster at ECR 2020 Electronic poster
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.S. Lundervold and A. Lundervold Poster at ECR 2020 Electronic poster
fastai for 3D MRI deep learning & explainable AI
S. Kaliyugarasan and A.S. Lundervold Poster at MMIV Conference 2019, Bergen, Dec. 2019
BrainAge: From DICOM to age
S. Kaliyugarasan and A.S. Lundervold Poster at MMIV Conference 2019, Bergen, Dec. 2019
Machine learning and electronic health records: some challenges, opportunities and ongoing experiments
S. Stavland and A.S. Lundervold Poster at MMIV Conference 2019, Bergen, Dec. 2019
Generative adversarial networks and medical image synthesis
A. Storm-Johannessen, S. Fossen-Romsaas and A.S. Lundervold Best poster award at MMIV Conference 2019, Bergen, Dec. 2019
A multi-atlas-based classification of Alzheimer’s disease using 3D T1w MRI and a supervised classifier
S. Alam, A. Lundervold and A.S. Lundervold Poster at MMIV Conference 2019, Bergen, Dec. 2019
Brain age versus chronological age: a work-in-progress, large-scale machine learning approach
J. Helle and A.S. Lundervold Poster at MMIV Conference 2019, Bergen, Dec. 2019
Transfer learning for medical images: a case study
with S. Kaliyugarasan. Poster at GTC Europe 2018, Munich, Germany, Oct. 2018
Imaging-based modeling of the human larynx for simulation of airflow during exercise
with O.D. Røksund, Abstract, poster and presentation at MedViz 2016
Python-based software for medical imaging and machine learning — an example from brain imaging in IBS
with K. Le Cornec, O. Verdier, V. Barra, and A. Lundervold, Abstract and poster at MedViz 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?
with C. B. Rygh and H. Gundersen, Abstract and poster at MedViz 2016
Predicting irritable bowel syndrome (IBS) from brain MR imaging data using machine learning
with A. Lundervold, E. A. Valestrand, T. Hausken, Poster at 2017 Geilo Winter School in eScience

Preprints, submitted and in preparation

Submitted: Automated segmentation of endometrial cancer on multimodal MR images using deep learning.
with E. Hodneland and others
Submitted: Cognitive and MRI trajectories for prediction of Alzheimer’s disease.
S.A. Mofrad, A.J. Lundervold, A. Vik and A.S. Lundervold
Submitted: A predicitive framewok based on brain volume trajectories enabling early detection of Alzheimer's disease.
S.A. Mofrad, A. Lundervold and A.S. Lundervold
In prep: Alzheimer’s disease classification using multi-atlas-based features
S. Alam, A. Lundervold, A.S. Lundervold
In prep: Brain age versus chronological age: A large scale MRI and deep learning investigation.
A.S. Lundervold, S. Kaliyugarasan, A. Lundervold,

Personal grants

ERCIM Alain Bensoussan Fellowship (Marie Curie fellowship), 2013
Abel Extraordinary Chair from the NILS Mobility Project, 2009
Abelstipend from the Norwegian Mathematical Society, 2005
Carl Johan Storetvedts legat (awarded to "hardworking and talented students at the University of Bergen"), 2004

Membership in scientific societies

Society for Imaging Informatics in Medicine, 2018–present
Norwegian Mathematical Society, 2003–present
American Mathematical Society, 2004–present