6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.CV2020★ 6 cited
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data
Nastassya Horlava, Alisa Mironenko, Sebastian Niehaus +3
In recent years, Convolutional Neural Networks (CNNs) have become the state-of-the-art method for biomedical image analysis. However, these networks are usually trained in a superv…
eess.IV2019
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…