Cheng Xue

23 papers Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
SpineCLUE: Automatic vertebrae identification using contrastive learning and uncertainty estimation.
Artif. Intell. Medicine
Sheng Zhang, Hongxuan Li, Minheng Chen, Mingying Li, Miao Liu, Junxian Wu, Cheng Xue, Youyong Kong
2025 J jnl
DIER-Net: Debiased Learning With Medical Image Noisy Label by Intrinsic and Extrinsic Regularization.
Int. J. Imaging Syst. Technol.
Cheng Xue
2025 J jnl
GFA-Net: Global Feature Aggregation Network Based on Contrastive Learning for Breast Lesion Automated Segmentation in Ultrasound Images.
IEEE Trans. Instrum. Meas.
Tao Wang, Chufeng Jin, Yang Chen, Guangquan Zhou, Rongjun Ge, Cheng Xue, Baike Shi, Tianyi Liu, Jean-Louis Coatrieux, Qianjin Feng
2025 J jnl
GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model for Label-Free Gland Segmentation.
IEEE Trans. Medical Imaging
Qixiang Zhang, Yi Li, Cheng Xue, Haonan Wang, Xiaomeng Li
2024 J jnl
Cas-PRED: A Limited-Angle Cone Beam CT Reconstruction Research Based on Prior Information.
IEEE Trans. Instrum. Meas.
Yuan Gao, Liu Zhang, Wenxue Yu, Shijie Wang, Pinzheng Zhang, Cheng Xue, Chunfeng Yang, Shipeng Xie, Gouenou Coatrieux, Jean-Louis Coatrieux, Yang Chen
2024 J jnl
SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation.
CoRR
Sheng Zhang, Minheng Chen, Junxian Wu, Ziyue Zhang, Tonglong Li, Cheng Xue, Youyong Kong
2023 J jnl
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training.
CoRR
Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang
2023 — conf
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.
MICCAI (1)
Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang
2023 — conf
Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping.
MICCAI (4)
Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li
2023 J jnl
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping.
CoRR
Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li
2023 J jnl
Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies.
J. Digit. Imaging
Fuk-hay Tang, Cheng Xue, Maria Y. Y. Law, Chui-Ying Wong, Tze-Hei Cho, Chun-Kit Lai
2023 — conf
Specific-Modal Spatial Guidance and Feature Enhancement for Multi-modal Brain Tumor Segmentation.
BIBM
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
2023 — conf
Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images.
BIBM
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
2022 J jnl
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.
IEEE Trans. Medical Imaging
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng
2022 J jnl
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training.
CoRR
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng
2021 J jnl
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.
CoRR
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng
2021 J jnl
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images.
CoRR
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, PhengAnn Heng
2021 J jnl
Global guidance network for breast lesion segmentation in ultrasound images.
Medical Image Anal.
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng
2020 — conf
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.
MICCAI (6)
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng
2019 — conf
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis.
MLMI@MICCAI
Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng
2019 J jnl
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis.
CoRR
Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng
2019 — conf
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification.
ISBI
Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng
2019 J jnl
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification.
CoRR
Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng