Recently, the papers ‘Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting’, ‘Revisiting Self-Attention in Medical Transformers via Dependency Sparsification’, ‘FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity’, and ‘FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness’ by our lab’s students Lin Xian, Sun Zhaobin, and Xiang Yangyang have been accepted by the international conference International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). MICCAI is one of the most important international conferences in the field of medical image processing and a Category-B international academic conference recommended by the China Computer Federation (CCF), with high academic influence in related fields.