Gaussian Context‐Guided Expert Personalization for Multi‐Rater Medical Image Segmentation
A unified framework is presented that simultaneously models segmentation variability and expert‐specific behavior within a single architecture, enabling personalized predictions while preserving diversity and demonstrating consistent improvements over existing methods in both diversity and personalization metrics.