1 code implementation • 22 Jun 2021 • Taro Langner, Andrés Martínez Mora, Robin Strand, Håkan Ahlström, Joel Kullberg
UK Biobank (UKB) conducts large-scale examinations of more than half a million volunteers, collecting health-related information on genetics, lifestyle, blood biochemistry, and more.
no code implementations • 17 May 2021 • Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
Large-scale medical studies such as the UK Biobank examine thousands of volunteer participants with medical imaging techniques.
1 code implementation • 18 Jan 2021 • Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg
The results indicate that deep regression ensembles could ultimately provide automated, uncertainty-aware measurements of body composition for more than 120, 000 UK Biobank neck-to-knee body MRI that are to be acquired within the coming years.
1 code implementation • 30 Jun 2020 • Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
These values play an important role in metabolic disease, but are only available for a minority of imaged subjects as their collection requires the careful work of image analysts on dedicated liver MRI.
1 code implementation • 12 Jun 2020 • Taro Langner, Andreas Östling, Lukas Maldonis, Albin Karlsson, Daniel Olmo, Dag Lindgren, Andreas Wallin, Lowe Lundin, Robin Strand, Håkan Ahlström, Joel Kullberg
In this work, a pipeline for automated segmentation of parenchymal kidney volume in UK Biobank neck-to-knee body MRI is proposed.
1 code implementation • 17 Feb 2020 • Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
In a large-scale medical examination, the UK Biobank study has successfully imaged more than 32, 000 volunteer participants with magnetic resonance imaging (MRI).
1 code implementation • 26 Jun 2018 • Taro Langner, Anders Hedström, Katharina Mörwald, Daniel Weghuber, Anders Forslund, Peter Bergsten, Håkan Ahlström, Joel Kullberg
Data of the study Tellus with 90 scans from a single center was used for a 10-fold cross-validation in which the most successful configuration for both networks was determined.