Cheng Xue

According to our database, Cheng Xue authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model for Label-Free Gland Segmentation.

Qixiang Zhang, Yi Li, Cheng Xue, Haonan Wang, Xiaomeng Li

IEEE Trans. Medical Imaging, February, 2025

GFA-Net: Global Feature Aggregation Network Based on Contrastive Learning for Breast Lesion Automated Segmentation in Ultrasound Images.

Tao Wang, Chufeng Jin, Yang Chen, Guangquan Zhou, Rongjun Ge, Cheng Xue, Baike Shi, Tianyi Liu, Jean-Louis Coatrieux, Qianjin Feng

IEEE Trans. Instrum. Meas., 2025

DIER-Net: Debiased Learning With Medical Image Noisy Label by Intrinsic and Extrinsic Regularization.

Cheng Xue

Int. J. Imaging Syst. Technol., 2025

2024

Cas-PRED: A Limited-Angle Cone Beam CT Reconstruction Research Based on Prior Information.

Yuan Gao, Liu Zhang, Wenxue Yu, Shijie Wang, Pinzheng Zhang, Cheng Xue, Chunfeng Yang, Shipeng Xie, Gouenou Coatrieux, Jean-Louis Coatrieux, Yang Chen

IEEE Trans. Instrum. Meas., 2024

2023

Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies.

Fuk-hay Tang, Cheng Xue, Maria Y. Y. Law, Chui-Ying Wong, Tze-Hei Cho, Chun-Kit Lai

J. Digit. Imaging, June, 2023

Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping.

Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.

Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images.

Hongzhi Liu, Xiaoli Mai, Junyang Han, Shiyu Zhu, Jiacheng Nie, Weixuan Wan, Pinzheng Zhang, Shijie Wang, Wenxue Yu, Xiaoying Tang, Cheng Xue, Chunfeng Yang, Qianjin Feng, Yang Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Specific-Modal Spatial Guidance and Feature Enhancement for Multi-modal Brain Tumor Segmentation.

Junyang Han, Cheng Xue, Hongzhi Liu, Shiyu Zhu, Jiacheng Nie, Weixuan Wan, Chunfeng Yang, Wenxue Yu, Xiaoying Tang, Yang Chen, Shijie Wang, Pinzheng Zhang, Jean-Louis Coatrieux

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.

Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2022

2021

Global guidance network for breast lesion segmentation in ultrasound images.

Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng

Medical Image Anal., 2021

2020

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.

Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis.

Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification.

Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019