output
20222025
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations

researchers with a paper here
collaborating institutions

5 papers

cs.RO2025

Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting

Alexander Koebler, Ralf Gross, Florian Buettner +1

Flexible industrial production systems will play a central role in the future of manufacturing due to higher product individualization and customization. A key component in such sy…

eess.IV2023★ 12 cited

Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study

Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau +6

We provide in this paper a comprehensive comparison of various transfer learning strategies and deep learning architectures for computer-aided classification of adult-type diffuse…

cs.CV2023★ 2 cited

Application-driven Validation of Posteriors in Inverse Problems

Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke +8

Current deep learning-based solutions for image analysis tasks are commonly incapable of handling problems to which multiple different plausible solutions exist. In response, poste…

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…