Coarse to Fine Segmentation Method Enables Accurate and Efficient Segmentation of Organs and Tumor in Abdominal CT. - Hui Meng; Haochen Zhao; Deqian Yang; Songping Wang; Zhenpeng Li (FLARE@MICCAI, 2023)

Language-Guided Vision Model for Pan-Cancer Segmentation in Abdominal CT Scans. - Hui Meng; Deqian Yang; Nianjiang Lv; Haochen Zhao; Yong Zhang (FLARE@MICCAI, 2024)

GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data. - Haochen Zhao; Hui Meng; Deqian Yang; Xiaozheng Xie; Xiaoze Wu; Qingfeng Li 004; Jianwei Niu 002 (ACM Multimedia, 2024)

Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. - Deqian Yang; Haochen Zhao; Gaojie Jin; Hui Meng; Lijun Zhang 001 (PRCV (14), 2024)

Text-Guided Cross Pseudo Supervision for Semi-Supervised Multi-Organ Segmentation in Abdominal CT Scans. - NianJiang Lv; Hui Meng; Haochen Zhao; Deqian Yang; Di Gao; Lanfang Du (ISBI, 2025)

Self-adaptive vision-language model for 3D segmentation of pulmonary artery and vein. - Xiaotong Guo; Deqian Yang; Dan Wang; Haochen Zhao; Yuan Li; Zhilin Sui; Tao Zhou; Lijun Zhang; Yanda Meng (CoRR, 2025)