most citedAutomatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

622 citations · 622 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery

Jeanny Pan, Philipp Seeböck, Christoph Fürböck +5

Identifying new disease-related patterns in medical imaging data with the help of machine learning enlarges the vocabulary of recognizable findings. This supports diagnostic and pr…

eess.IV2020★ 622 cited

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

Johannes Hofmanninger, Florian Prayer, Jeanny Pan +3

Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exist, involving sophisti…