9.8k citations · 10.8k across the 28 of their papers we have counts for
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eess.IV2022
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Julian Schön, Raghavendra Selvan, Jens Petersen
Generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) play an increasingly important role in medical image analysis. The latent space…
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…