Backward Error Analysis and the Substitution Law for Lie Group Integrators. - Alexander Lundervold; Hans Z. Munthe-Kaas (Found. Comput. Math., 2013)

On Post-Lie Algebras, Lie-Butcher Series and Moving Frames. - Hans Z. Munthe-Kaas; Alexander Lundervold (Found. Comput. Math., 2013)

Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras. - Kurusch Ebrahimi-Fard; Alexander Lundervold; Dominique Manchon (Int. J. Algebra Comput., 2014)

An overview of deep learning in medical imaging focusing on MRI. - Alexander Selvikvåg Lundervold; Arvid Lundervold (CoRR, 2018)

Correction to: On Post-Lie Algebras, Lie-Butcher Series and Moving Frames. - Hans Z. Munthe-Kaas; Alexander Lundervold (Found. Comput. Math., 2019)

Brain Tumor Segmentation from Multiparametric MRI Using a Multi-encoder U-Net Architecture. - Saruar Alam; Bharath Halandur; P. G. L. Porta Mana; Dorota Goplen; Arvid Lundervold; Alexander Selvikvåg Lundervold (BrainLes@MICCAI (2), 2021)

A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease. - Samaneh Abolpour Mofrad; Arvid Lundervold; Alexander Selvikvåg Lundervold; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2021)

Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI. - Satheshkumar Kaliyugarasan; Arvid Lundervold; Alexander Selvikvåg Lundervold (Int. J. Interact. Multim. Artif. Intell., 2021)

rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes. - Muhammad Ammar Malik; Alexander Selvikvåg Lundervold; Tom Michoel (CoRR, 2022)

Multi-Center CNN-Based Spine Segmentation from T2W MRI Using Small Amounts of Data. - Satheshkumar Kaliyugarasan; Magnhild H. Dagestad; Evin I. Papalini; Erling Andersen; John-Anker Zwart; Helena Brisby; Hanna Hebelka; Ansgar Espeland; Kerstin M. Lagerstrand; Alexander Selvikvåg Lundervold (ISBI, 2023)

Don't guess what's true: choose what's optimal. A probability transducer for machine-learning classifiers. - Kjetil Dyrland; Alexander Selvikvåg Lundervold; P. G. L. Porta Mana (CoRR, 2023)

Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers. - Kjetil Dyrland; Alexander Selvikvåg Lundervold; P. G. L. Porta Mana (CoRR, 2023)

fastMONAI: A low-code deep learning library for medical image analysis. - Satheshkumar Kaliyugarasan; Alexander Selvikvåg Lundervold (Softw. Impacts, 2023)

Bearing Prognostics Using the PRONOSTIA Data: A Comparative Study. - Hariom Dhungana; Thorstein Rykkje; Alexander Selvikvåg Lundervold (IEEE Access, 2025)