469 citations
- University College LondonGB4 papers
- Centre Inria de SaclayFR3 papers
- German Cancer Research CenterDE3 papers
- InsermFR3 papers
- King's College LondonGB3 papers
- Broad InstituteUS2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Deutsches Konsortium für Translationale KrebsforschungDE2 papers
- DKFZ-ZMBH AllianceDE2 papers
- European Molecular Biology LaboratoryDE2 papers
- European Society for Medical OncologyCH2 papers
- Frankfurt Cancer InstituteDE2 papers
4 papers
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…
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…
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…
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…