| Bilateral asymmetry guided counterfactual generating network for mammogram classification C Wang, J Li, F Zhang, X Sun, H Dong, Y Yu, Y Wang IEEE Transactions on Image Processing 30, 7980-7994, 2021 | 17 | 2021 |
| BR-GAN: bilateral residual generating adversarial network for mammogram classification C Wang, F Zhang, Y Yu, Y Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 15 | 2020 |
| Mammo-sam: Adapting foundation segment anything model for automatic breast mass segmentation in whole mammograms X Xiong, C Wang, W Li, G Li International Workshop on Machine Learning in Medical Imaging, 176-185, 2023 | 14 | 2023 |
| Dae-gcn: Identifying disease-related features for disease prediction C Wang, X Sun, F Zhang, Y Yu, Y Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Fsc-capsnet: Fractionally-strided convolutional capsule network for complex data J Liu, F Gao, R Lu, Y Lian, D Wang, X Luo, C Wang 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 9 | 2019 |
| Learning domain-agnostic representation for disease diagnosis C Wang, J Li, X Sun, F Zhang, Y Yu, Y Wang The Eleventh International Conference on Learning Representations, 2023 | 7 | 2023 |
| Prediction of Carotid In-Stent Restenosis by Computed Tomography Angiography Carotid Plaque-Based Radiomics X Cheng, Z Dong, J Liu, H Li, C Zhou, F Zhang, C Wang, Z Zhang, G Lu Journal of Clinical Medicine 11 (11), 3234, 2022 | 7 | 2022 |
| Disentangling Disease-related Representation from Obscure for Disease Prediction C Wang, F Gao, F Zhang, F Zhong, Y Yu, Y Wang International Conference on Machine Learning, 22652-22664, 2022 | 4 | 2022 |
| Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL F Zhong, K Wu, H Ci, C Wang, H Chen The 18th European Conference on Computer Vision (ECCV), 2024, 2024 | 3 | 2024 |
| DDRM-CapsNet: capsule network based on deep dynamic routing mechanism for complex data J Liu, F Gao, R Lu, Y Lian, D Wang, X Luo, C Wang Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 3 | 2019 |
| Domain Invariant Model with Graph Convolutional Network for Mammogram Classification C Wang, J Li, X Sun, F Zhang, Y Yu, Y Wang arXiv preprint arXiv:2204.09954, 2022 | 2 | 2022 |
| Autoregressive Sequence Modeling for 3D Medical Image Representation S Wang, C Wang, F Gao, L Su, F Zhang, Y Wang, Y Yu arXiv preprint arXiv:2409.08691, 2024 | 1 | 2024 |
| UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI F Zhong, K Wu, C Wang, H Chen, H Ci, Z Li, Y Wang arXiv preprint arXiv:2412.20977, 2024 | | 2024 |
| Enhanced MRI Representation via Cross-series Masking C Wang, F Gao, L Yan, S Wang, Y Yu, Y Wang arXiv preprint arXiv:2412.07387, 2024 | | 2024 |
| Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation F Gao, S Wang, C Wang, F Zhang, HY Zhou, Y Wang, G Yu, Y Yu Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024, 2024 | | 2024 |
| Semi-and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations X Xiong, C Wang, W Li, G Li IEEE International Symposium on Biomedical Imaging (ISBI), 2024, 2024 | | 2024 |