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Journal Articles
- 2023
[j7]Satheshkumar Kaliyugarasan
, Alexander Selvikvåg Lundervold:
fastMONAI: A low-code deep learning library for medical image analysis. Softw. Impacts 18: 100583 (2023)- 2021
- [j6]Samaneh Abolpour Mofrad, Arvid Lundervold, Alexander Selvikvåg Lundervold, Alzheimer's Disease Neuroimaging Initiative:
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease. Comput. Medical Imaging Graph. 90: 101910 (2021) - [j5]Satheshkumar Kaliyugarasan, Arvid Lundervold, Alexander Selvikvåg Lundervold:
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI. Int. J. Interact. Multim. Artif. Intell. 6(7): 83 (2021) - 2019
- [j4]Hans Z. Munthe-Kaas, Alexander Lundervold:
Correction to: On Post-Lie Algebras, Lie-Butcher Series and Moving Frames. Found. Comput. Math. 19(1): 241 (2019) - 2014
- [j3]Kurusch Ebrahimi-Fard, Alexander Lundervold, Dominique Manchon:
Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras. Int. J. Algebra Comput. 24(5): 671-706 (2014) - 2013
- [j2]Alexander Lundervold, Hans Z. Munthe-Kaas:
Backward Error Analysis and the Substitution Law for Lie Group Integrators. Found. Comput. Math. 13(2): 161-186 (2013) - [j1]Hans Z. Munthe-Kaas, Alexander Lundervold:
On Post-Lie Algebras, Lie-Butcher Series and Moving Frames. Found. Comput. Math. 13(4): 583-613 (2013)
Conference and Workshop Papers
- 2023
- [c2]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:
Multi-Center CNN-Based Spine Segmentation from T2W MRI Using Small Amounts of Data. ISBI 2023: 1-5 - 2021
- [c1]Saruar Alam, Bharath Halandur, P. G. L. Porta Mana, Dorota Goplen, Arvid Lundervold, Alexander Selvikvåg Lundervold:
Brain Tumor Segmentation from Multiparametric MRI Using a Multi-encoder U-Net Architecture. BrainLes@MICCAI (2) 2021: 289-301
Informal and Other Publications
- 2023
- [i4]Kjetil Dyrland, Alexander Selvikvåg Lundervold, P. G. L. Porta Mana:
Don't guess what's true: choose what's optimal. A probability transducer for machine-learning classifiers. CoRR abs/2302.10578 (2023) - [i3]Kjetil Dyrland, Alexander Selvikvåg Lundervold, P. G. L. Porta Mana:
Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers. CoRR abs/2302.12006 (2023) - 2022
- [i2]Muhammad Ammar Malik, Alexander Selvikvåg Lundervold, Tom Michoel:
rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes. CoRR abs/2204.00067 (2022) - 2018
- [i1]Alexander Selvikvåg Lundervold, Arvid Lundervold:
An overview of deep learning in medical imaging focusing on MRI. CoRR abs/1811.10052 (2018)
Coauthor Index
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