| Global guidance network for breast lesion segmentation in ultrasound images C Xue, L Zhu, H Fu, X Hu, X Li, H Zhang, PA Heng Medical image analysis 70, 101989, 2021 | 121 | 2021 |
| Robust learning at noisy labeled medical images: Applied to skin lesion classification C Xue, Q Dou, X Shi, H Chen, PA Heng 2019 IEEE 16th International symposium on biomedical imaging (ISBI 2019 …, 2019 | 121 | 2019 |
| An active learning approach for reducing annotation cost in skin lesion analysis X Shi, Q Dou, C Xue, J Qin, H Chen, PA Heng Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 44 | 2019 |
| Robust medical image classification from noisy labeled data with global and local representation guided co-training C Xue, L Yu, P Chen, Q Dou, PA Heng IEEE transactions on medical imaging 41 (6), 1371-1382, 2022 | 33 | 2022 |
| Cascaded robust learning at imperfect labels for chest x-ray segmentation C Xue, Q Deng, X Li, Q Dou, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 31 | 2020 |
| Knowledge boosting: Rethinking medical contrastive vision-language pre-training X Chen, Y He, C Xue, R Ge, S Li, G Yang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| Prognostic prediction of cancer based on radiomics features of diagnostic imaging: the performance of machine learning strategies F Tang, C Xue, MYY Law, C Wong, T Cho, C Lai Journal of Digital Imaging 36 (3), 1081-1090, 2023 | 6 | 2023 |
| Multimodal patient-specific registration for breast imaging using biomechanical modeling with reference to AI evaluation of breast tumor change C Xue, FH Tang, CWK Lai, LJ Grimm, JY Lo Life 11 (8), 747, 2021 | 5 | 2021 |
| Spineclue: Automatic vertebrae identification using contrastive learning and uncertainty estimation S Zhang, M Chen, J Wu, Z Zhang, T Li, C Xue, Y Kong arXiv preprint arXiv:2401.07271, 2024 | 3 | 2024 |
| An adaptive patient specific deformable registration for breast images of positron emission tomography and magnetic resonance imaging using finite element approach C Xue, FH Tang Medical Imaging 2014: Image Processing 9034, 889-894, 2014 | 3 | 2014 |
| Specific-Modal Spatial Guidance and Feature Enhancement for Multi-modal Brain Tumor Segmentation J Han, C Xue, H Liu, S Zhu, J Nie, W Wan, C Yang, W Yu, X Tang, Y Chen, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images H Liu, X Mai, J Han, S Zhu, J Nie, W Wan, P Zhang, S Wang, W Yu, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Cas-PRED: A limited-angle cone beam CT reconstruction research based on prior information Y Gao, L Zhang, W Yu, S Wang, P Zhang, C Xue, C Yang, S Xie, ... IEEE Transactions on Instrumentation and Measurement, 2023 | | 2023 |
| Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping Q Zhang, Y Li, C Xue, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Robust machine learning for imperfect labeled image segmentation PA Heng, C Xue, DOU Qi US Patent 11,488,309, 2022 | | 2022 |
| SAAS: Selective Annotation and Aggregative Supervision for Active Learning on Skin Lesion Analysis X Shi, Q Dou, C Xue, H Chen, PA Heng | | |
