output
20212026
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.CV2026

Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation

Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge +6

Accurate hippocampal segmentation can be a useful tool for diagnosing and monitoring neurological conditions such as Alzheimer's disease and epilepsy. While numerous automated segm…

cs.CV2026★ 2 cited

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals

Pascaline André, Charles Heitz, Evangelia Christodoulou +10

Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…

cs.CV2023★ 204 cited

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75

Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…

cs.CV2022★ 469 cited

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…

cs.LG2021★ 47 cited

An empirical evaluation of active inference in multi-armed bandits

Dimitrije Markovic, Hrvoje Stojic, Sarah Schwoebel +1

A key feature of sequential decision making under uncertainty is a need to balance between exploiting--choosing the best action according to the current knowledge, and exploring--o…