36 citations · 37 across the 6 of their papers we have counts for
6 papers · 1 filter
MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI
Taro Langner, Andrés Martínez Mora, Robin Strand +2
UK Biobank (UKB) conducts large-scale examinations of more than half a million volunteers, collecting health-related information on genetics, lifestyle, blood biochemistry, and mor…
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI
Taro Langner, Robin Strand, Håkan Ahlström +1
Large-scale medical studies such as the UK Biobank examine thousands of volunteer participants with medical imaging techniques. Combined with the vast amount of collected metadata,…
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI
Taro Langner, Fredrik K. Gustafsson, Benny Avelin +3
Along with rich health-related metadata, medical images have been acquired for over 40,000 male and female UK Biobank participants, aged 44-82, since 2014. Phenotypes derived from…
Large-scale inference of liver fat with neural networks on UK Biobank body MRI
Taro Langner, Robin Strand, Håkan Ahlström +1
The UK Biobank Imaging Study has acquired medical scans of more than 40,000 volunteer participants. The resulting wealth of anatomical information has been made available for resea…
Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants
Taro Langner, Andreas Östling, Lukas Maldonis +8
The UK Biobank is collecting extensive data on health-related characteristics of over half a million volunteers. The biological samples of blood and urine can provide valuable insi…
Patient-specific fine-tuning of CNNs for follow-up lesion quantification
Mariëlle J. A. Jansen, Hugo J. Kuijf, Ashis K. Dhara +4
Convolutional neural network (CNN) methods have been proposed to quantify lesions in medical imaging. Commonly more than one imaging examination is available for a patient, but the…