ATFormer: Advanced transformer for medical image segmentation. - Yong Chen 024; Xuesong Lu; Qinlan Xie (Biomed. Signal Process. Control., 2023)

Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation. - Yong Chen 024; Xuesong Lu; Qinlan Xie (Comput. Biol. Medicine, 2023)

SSCFormer: Revisiting ConvNet-Transformer Hybrid Framework From Scale-Wise and Spatial-Channel-Aware Perspectives for Volumetric Medical Image Segmentation. - Qinlan Xie; Yong Chen 024; Shenglin Liu; Xuesong Lu (IEEE J. Biomed. Health Informatics, 2024)

SCEA-Net: A hybrid framework from spatial-channel-aware external attention for accurate 3D medical image segmentation. - Gennian Peng; Xuesong Lu; Yong Chen 024; Hong Chen; Zhiwei Zhai; Tong Chen; Qinlan Xie (Biomed. Signal Process. Control., 2026)