Recently, the paper ‘UCTNet: Uncertainty-Guided CNN-Transformer Hybrid Networks for Medical Image Segmentation’ by our lab’s student Guo Xiayu has been accepted by the international journal Pattern Recognition (PR). PR is one of the most important international journals in the fields of computer vision and pattern recognition, a Tier-1 journal in the Chinese Academy of Sciences (CAS) classification, with high academic influence.