Application-driven validation of posteriors in inverse problems, published in Medical Image Analysis.

We present the first systematic framework for application-driven validation of posterior-based methods in inverse problems. Adapting concepts from object detection enables mode-centric validation with interpretable, application-focused metrics, demonstrated on multiple medical imaging use cases. Published in Medical Image Analysis.