3 citations · 6 across the 5 of their papers we have counts for
5 papers
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
Kaya Miah, Jelle J. Goeman, Hein Putter +2
In multi-state models based on high-dimensional data, effective modeling strategies are required to determine an optimal, ideally parsimonious model. In particular, linking covaria…
Quality Assured: Rethinking Annotation Strategies in Imaging AI
Tim Rädsch, Annika Reinke, Vivienn Weru +5
This paper does not describe a novel method. Instead, it studies an essential foundation for reliable benchmarking and ultimately real-world application of AI-based image analysis:…
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…
Simulating and reporting frequentist operating characteristics of clinical trials that borrow external information
Annette Kopp-Schneider, Manuel Wiesenfarth, Leonhard Held +1
Borrowing of information from historical or external data to inform inference in a current trial is an expanding field in the era of precision medicine, where trials are often perf…
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…