Alexander Lundervold

Orcid: 0000-0001-8663-4247

According to our database1, Alexander Lundervold authored at least 13 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
fastMONAI: A low-code deep learning library for medical image analysis.
Softw. Impacts, November, 2023

Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers.
CoRR, 2023

Don't guess what's true: choose what's optimal. A probability transducer for machine-learning classifiers.
CoRR, 2023

Multi-Center CNN-Based Spine Segmentation from T2W MRI Using Small Amounts of Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes.
CoRR, 2022

2021
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI.
Int. J. Interact. Multim. Artif. Intell., 2021

A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease.
Comput. Medical Imaging Graph., 2021

Brain Tumor Segmentation from Multiparametric MRI Using a Multi-encoder U-Net Architecture.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2019
Correction to: On Post-Lie Algebras, Lie-Butcher Series and Moving Frames.
Found. Comput. Math., 2019

2018
An overview of deep learning in medical imaging focusing on MRI.
CoRR, 2018

2014
Noncommutative Bell polynomials, quasideterminants and incidence Hopf algebras.
Int. J. Algebra Comput., 2014

2013
On Post-Lie Algebras, Lie-Butcher Series and Moving Frames.
Found. Comput. Math., 2013

Backward Error Analysis and the Substitution Law for Lie Group Integrators.
Found. Comput. Math., 2013


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