718 citations · 1.7k across the 14 of their papers we have counts for
5 papers · 1 filter
Tree-based exploratory identification of predictive biomarkers in observational data
Julia Krzykalla, Axel Benner, Annette Kopp-Schneider
The idea of "stratified medicine" is an important driver of methodological research on the identification of predictive biomarkers. Most methods proposed so far for this purpose ha…
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…
Robust incorporation of historical information with known type I error rate inflation
Silvia Calderazzo, Annette Kopp-Schneider
Bayesian clinical trials can benefit of available historical information through the elicitation of informative prior distributions. Concerns are however often raised about the pot…
Labeling instructions matter in biomedical image analysis
Tim Rädsch, Annika Reinke, Vivienn Weru +7
Biomedical image analysis algorithm validation depends on high-quality annotation of reference datasets, for which labeling instructions are key. Despite their importance, their op…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…