469 citations · 474 across the 4 of their papers we have counts for
4 papers
PhenoBench: A Comprehensive Benchmark for Cell Phenotyping
Claudia Winklmayr, Jerome Luescher, Nora Koreuber +6
Digital pathology has seen the advent of a wealth of foundational models (FM), yet to date their performance on cell phenotyping has not been benchmarked in a unified manner. We th…
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages
Peter Hirsch, Caroline Malin-Mayor, Anthony Santella +3
Tracking all nuclei of an embryo in noisy and dense fluorescence microscopy data is a challenging task. We build upon a recent method for nuclei tracking that combines weakly-super…
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…
Probabilistic Deep Learning for Instance Segmentation
Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller
Probabilistic convolutional neural networks, which predict distributions of predictions instead of point estimates, led to recent advances in many areas of computer vision, from im…