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 | 16 | 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 | 14 | 2020 |
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 | 8 | 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 | 8 | 2019 |
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 | 5 | 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 | 5 | 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 |
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, 2022 | 3 | 2022 |
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 | 1 | 2022 |
Semi-and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations X Xiong, C Wang, W Li, G Li arXiv preprint arXiv:2403.09315, 2024 | | 2024 |