11 citations · 22 across the 10 of their papers we have counts for
4 papers · 1 filter
A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist
Ron Keuth, Maren Balks, Sebastian Tschauner +2
Fractures, particularly in the distal forearm, are among the most common injuries in children and adolescents, with approximately 800 000 cases treated annually in Germany. The AO/…
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation
Ron Keuth, Lasse Hansen, Maren Balks +4
Semantic segmentation is a crucial task in medical imaging. Although supervised learning techniques have proven to be effective in performing this task, they heavily depend on larg…
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation
Ron Keuth, Lasse Hansen, Maren Balks +4
Purpose: Semantic segmentation and landmark detection are fundamental tasks of medical image processing, facilitating further analysis of anatomical objects. Although deep learning…
Combining Image- and Geometric-based Deep Learning for Shape Regression: A Comparison to Pixel-level Methods for Segmentation in Chest X-Ray
Ron Keuth, Mattias Heinrich
When solving a segmentation task, shaped-base methods can be beneficial compared to pixelwise classification due to geometric understanding of the target object as shape, preventin…