3 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.IV2024
Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns
Branko Mitic, Philipp Seeböck, Jennifer Straub +2
Fast detection of emerging diseases is important for containing their spread and treating patients effectively. Local anomalies are relevant, but often novel diseases involve famil…
cs.CV2024
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
Sascha Jecklin, Youyang Shen, Amandine Gout +8
This study tackles key obstacles in adopting surgical navigation in orthopedic surgeries, including time, cost, radiation, and workflow integration challenges. Recently, our work X…