Deqian Yang

According to our database, Deqian Yang authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, January, 2025

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 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, Jianwei Niu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Language-Guided Vision Model for Pan-Cancer Segmentation in Abdominal CT Scans.

Hui Meng, Deqian Yang, Nianjiang Lv, Haochen Zhao, Yong Zhang

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

2023

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

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023