SACH-Net: Shape-Adaptive Convolution and Hierarchical Topology Constraints Framework for Coronary Artery Segmentation. - Zhuo Jin; Shaoxuan Wu; Zhizezhang Gao; Xiaosong Xiong; Xiao Zhang 028; Jun Feng 003 (EMBC, 2024)

Scribble-Based Medical Image Segmentation via Shape Perturbation Consistency and Boundary Enhancement Constraint. - Shaoxuan Wu; Xiao Zhang 028; Ying Huang; Xia Sun; Jun Feng 003 (ISBI, 2024)

Gaze-Directed Vision GNN for Mitigating Shortcut Learning in Medical Image. - Shaoxuan Wu; Xiao Zhang 028; Bin Wang; Zhuo Jin; Hansheng Li; Jun Feng 003 (MICCAI (1), 2024)

HELPNet: Hierarchical perturbations consistency and entropy-guided ensemble for scribble supervised medical image segmentation. - Xiao Zhang 028; Shaoxuan Wu; Peilin Zhang; Zhuo Jin; Xiaosong Xiong; Qirong Bu; Jingkun Chen; Jun Feng 003 (Medical Image Anal., 2025)

PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation. - Xiao Zhang 028; Zhuo Jin; Shaoxuan Wu; Fengyu Wang; Guansheng Peng; Xiang Zhang; Ying Huang; Jingkun Chen; Jun Feng 003 (CoRR, 2025)