18 citations · 31 across the 3 of their papers we have counts for
3 papers
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows
Elena Williams, Sebastian Niehaus, Janis Reinelt +9
Machine learning algorithms underpin modern diagnostic-aiding software, which has proved valuable in clinical practice, particularly in radiology. However, inaccuracies, mainly due…
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
Carolin M. Pirkl, Pedro A. Gómez, Ilona Lipp +13
Magnetic Resonance Fingerprinting (MRF) enables the simultaneous quantification of multiple properties of biological tissues. It relies on a pseudo-random acquisition and the match…
Domain specific cues improve robustness of deep learning based segmentation of ct volumes
Marie Kloenne, Sebastian Niehaus, Leonie Lampe +4
Machine Learning has considerably improved medical image analysis in the past years. Although data-driven approaches are intrinsically adaptive and thus, generic, they often do not…