3 citations · 3 across the 4 of their papers we have counts for
4 papers
Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results
Lisa Kühnel, Julian Schneider, Ines Perrar +5
Access to individual-level health data is essential for gaining new insights and advancing science. In particular, modern methods based on artificial intelligence rely on the avail…
Interactive cohort exploration for spinocerebellar ataxias using synthetic cohort data for visualization
Philipp Wegner, Sebastian Schaaf, Mischa Uebachs +4
Motivation: Visualization of data is a crucial step to understanding and deriving hypotheses from clinical data. However, for clinicians, visualization often comes with great effor…
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines
Lisa Kühnel, Alexander Schulz, Barbara Hammer +1
Recent developments in transfer learning have boosted the advancements in natural language processing tasks. The performance is, however, dependent on high-quality, manually annota…
Integrative Data Semantics through a Model-enabled Data Stewardship
Philipp Wegner, Sebastian Schaaf, Mischa Uebachs +10
Motivation: The importance of clinical data in understanding the pathophysiology of complex disorders has prompted the launch of multiple initiatives designed to generate patient-l…