2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2020★ 2 cited
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
Thomas Küstner, Tobias Hepp, Marc Fischer +9
Purpose: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI. Methods: Quantification and localization of di…
cs.CV2018
A Machine-learning framework for automatic reference-free quality assessment in MRI
Thomas Küstner, Sergios Gatidis, Annika Liebgott +9
Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large amount of data is created per examination which needs to be checked for sufficient quality in o…