294 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE26 papers
- Siemens Healthcare (United States)US8 papers
- Siemens (United States)US7 papers
- Technical University of MunichDE4 papers
- Advanced Optical Technologies (United States)US2 papers
- Blekinge Institute of TechnologySE2 papers
- Centre d'Imagerie BioMedicaleCH2 papers
- Columbia UniversityUS2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Fondation Sophia AntipolisFR2 papers
- General Electric (Spain)ES2 papers
- German Cancer Research CenterDE2 papers
12 papers · 1 filter
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…
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
Sheethal Bhat, Bogdan Georgescu, Adarsh Bhandary Panambur +8
Detecting abnormalities in medical images poses unique challenges due to differences in feature representations and the intricate relationship between anatomical structures and abn…
A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features
Saahil Islam, Venkatesh N. Murthy, Dominik Neumann +5
To restore proper blood flow in blocked coronary arteries via angioplasty procedure, accurate placement of devices such as catheters, balloons, and stents under live fluoroscopy or…
A Realistic Collimated X-Ray Image Simulation Pipeline
Benjamin El-Zein, Dominik Eckert, Thomas Weber +4
Collimator detection remains a challenging task in X-ray systems with unreliable or non-available information about the detectors position relative to the source. This paper presen…
Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction
Noah Maul, Annette Birkhold, Fabian Wagner +5
Three-dimensional Digital Subtraction Angiography (3D-DSA) is a well-established X-ray-based technique for visualizing vascular anatomy. Recently, four-dimensional DSA (4D-DSA) rec…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…