3 papers
cs.CV2026
Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
Chang Liu, Fuxin Fan, Annette Schwarz +1
Multi-organ segmentation is a widely applied clinical routine and automated organ segmentation tools dramatically improve the pipeline of the radiologists. Recently, deep learning…
eess.IV2025
Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning
Daiqi Liu, Fuxin Fan, Andreas Maier
X-ray imaging plays a crucial role in the medical field, providing essential insights into the internal anatomy of patients for diagnostics, image-guided procedures, and clinical d…
cs.CV2025
A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images
Daiqi Liu, Fuxin Fan, Andreas Maier
Pelvic fractures, often caused by high-impact trauma, frequently require surgical intervention. Imaging techniques such as CT and 2D X-ray imaging are used to transfer the surgical…