Unsupervised anomaly detection (UAD) in brain MRI is crucial for early diagnosis but remains challenging due to diverse diseases, varying acquisition protocols, and missing sequences. We propose ...

Multi-class multi-instance segmentation is the task of identifying masks for multiple object classes and multiple instances of the same class within an image. The foundational Segment Anything Model ...