3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
NFDI4Health workflow and service for synthetic data generation, assessment and risk management
Sobhan Moazemi, Tim Adams, Hwei Geok NG +5
Individual health data is crucial for scientific advancements, particularly in developing Artificial Intelligence (AI); however, sharing real patient information is often restricte…
q-bio.QM2023
Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches
Sophia Krix, Ella Wilczynski, Neus Falgàs +5
Alzheimer's disease has an increasing prevalence in the population world-wide, yet current diagnostic methods based on recommended biomarkers are only available in specialized clin…
stat.ME2023★ 3 cited
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…