3 papers
eess.IV2020
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…
eess.IV2020
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…
cs.CV2018
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks
Jonathan Andersson, Håkan Ahlström, Joel Kullberg
Purpose: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks. Methods: Whole-body gradient echo scans of 240 s…