11 citations · 16 across the 4 of their papers we have counts for
4 papers
Improved distinct bone segmentation in upper-body CT through multi-resolution networks
Eva Schnider, Julia Wolleb, Antal Huck +4
Purpose: Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised…
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
Eva Schnider, Antal Huck, Mireille Toranelli +4
Purpose: The localisation and segmentation of individual bones is an important preprocessing step in many planning and navigation applications. It is, however, a time-consuming and…
Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band images
Oliver Müller, Eva Schnider
Countless low-surface brightness objects - including spiral galaxies, dwarf galaxies, and noise patterns - have been detected in recent large surveys. Classically, astronomers visu…
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Eva Schnider, Antal Horváth, Georg Rauter +3
Segmentation of distinct bones plays a crucial role in diagnosis, planning, navigation, and the assessment of bone metastasis. It supplies semantic knowledge to visualisation tools…