Towards Reliable Medical Unsupervised Anomaly Detection: A Benchmark and Dataset for PET-CT with Cross-Modality Knowledge Distillation Network

Unified State-Aware Global-Relational Modeling with Detail-Selective Operators for Retinal OCT Image Super-Resolution

Generative Modeling via Hierarchical Latent Adaptation of Foundation Models for Medical Image Unsupervised Anomaly Detection

Beyond Feature Mapping: Dual-Heterogeneous Knowledge Distillation with Mamba for Industrial Anomaly Detection

Hybrid Dual-Heterogeneous Knowledge Distillation Network for Anomaly Detection in Retinal OCT Images

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Anomaly Detection