2.1k citations · 2.1k across the 4 of their papers we have counts for
4 papers
Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers
K. Dyrland, A. S. Lundervold, P. G. L. Porta Mana
How can one meaningfully make a measurement, if the meter does not conform to any standard and its scale expands or shrinks depending on what is measured? In the present work it is…
A probability calibrator for machine-learning classifiers
K. Dyrland, A. S. Lundervold, P. G. L. Porta Mana
In fields such as medicine and drug discovery, the ultimate goal of a classification is not to guess a class, but to choose the optimal course of action among a set of possible one…
rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes
Muhammad Ammar Malik, Alexander S. Lundervold, Tom Michoel
Imaging genetic studies aim to find associations between genetic variants and imaging quantitative traits. Traditional genome-wide association studies (GWAS) are based on univariat…
An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over t…