57 citations · 107 across the 15 of their papers we have counts for
3 papers · 1 filter
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…
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images
Simon Ekström, Filip Malmberg, Håkan Ahlström +2
Objective: Deformable image registration is a fundamental problem in medical image analysis, with applications such as longitudinal studies, population modeling, and atlas based im…
Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI
Taro Langner, Anders Hedström, Katharina Mörwald +5
Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water-fat MRI scans of the abdomen was inv…