| Segment anything in medical images J Ma, Y He, F Li, L Han, C You, B Wang Nature Communications 15 (1), 654, 2024 | 1000 | 2024 |
| Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation Y Qi, Y He, X Qi, Y Zhang, G Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 161 | 2023 |
| Xmorpher: Full transformer for deformable medical image registration via cross attention J Shi, Y He, Y Kong, JL Coatrieux, H Shu, G Yang, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 79 | 2022 |
| Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation Y He, G Yang, J Yang, Y Chen, Y Kong, J Wu, L Tang, X Zhu, ... Medical image analysis 63, 101722, 2020 | 67 | 2020 |
| Automated segmentation of normal and diseased coronary arteries–the asoca challenge R Gharleghi, D Adikari, K Ellenberger, SY Ooi, C Ellis, CM Chen, R Gao, ... Computerized Medical Imaging and Graphics 97, 102049, 2022 | 52 | 2022 |
| MNet: rethinking 2D/3D networks for anisotropic medical image segmentation Z Dong, Y He, X Qi, Y Chen, H Shu, JL Coatrieux, G Yang, S Li Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 48 | 2022 |
| Meta grayscale adaptive network for 3D integrated renal structures segmentation Y He, G Yang, J Yang, R Ge, Y Kong, X Zhu, S Zhang, P Shao, H Shu, ... Medical image analysis 71, 102055, 2021 | 40 | 2021 |
| DPA-DenseBiasNet: Semi-supervised 3D fine renal artery segmentation with dense biased network and deep priori anatomy Y He, G Yang, Y Chen, Y Kong, J Wu, L Tang, X Zhu, JL Dillenseger, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 37 | 2019 |
| X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images R Ge, Y He, C Xia, C Xu, W Sun, G Yang, J Li, Z Wang, H Yu, D Zhang, ... Knowledge-Based Systems 236, 107680, 2022 | 36 | 2022 |
| Few-shot learning for deformable medical image registration with perception-correspondence decoupling and reverse teaching Y He, T Li, R Ge, J Yang, Y Kong, J Zhu, H Shu, G Yang, S Li IEEE Journal of Biomedical and Health Informatics 26 (3), 1177-1187, 2021 | 34 | 2021 |
| Deep complementary joint model for complex scene registration and few-shot segmentation on medical images Y He, T Li, G Yang, Y Kong, Y Chen, H Shu, JL Coatrieux, JL Dillenseger, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| Geometric visual similarity learning in 3d medical image self-supervised pre-training Y He, G Yang, R Ge, Y Chen, JL Coatrieux, B Wang, S Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Learning better registration to learn better few-shot medical image segmentation: Authenticity, diversity, and robustness Y He, R Ge, X Qi, Y Chen, J Wu, JL Coatrieux, G Yang, S Li IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2588-2601, 2022 | 24 | 2022 |
| DDPNet: a novel dual-domain parallel network for low-dose CT reconstruction R Ge, Y He, C Xia, H Sun, Y Zhang, D Hu, S Chen, Y Chen, S Li, D Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 20 | 2022 |
| Foundation model for advancing healthcare: Challenges, opportunities, and future directions Y He, F Huang, X Jiang, Y Nie, M Wang, J Wang, H Chen IEEE Reviews in Biomedical Engineering, 2024 | 15 | 2024 |
| Ffcnet: Fourier transform-based frequency learning and complex convolutional network for colon disease classification KN Wang, Y He, S Zhuang, J Miao, X He, P Zhou, G Yang, GQ Zhou, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 15 | 2022 |
| Contrastive re-localization and history distillation in federated cmr segmentation X Qi, G Yang, Y He, W Liu, A Islam, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 13 | 2022 |
| O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation Z Jiang, Y He, S Ye, P Shao, X Zhu, Y Xu, Y Chen, JL Coatrieux, S Li, ... Knowledge-Based Systems 265, 110378, 2023 | 10 | 2023 |
| Mvsgan: Spatial-aware multi-view cmr fusion for accurate 3d left ventricular myocardium segmentation X Qi, Y He, G Yang, Y Chen, J Yang, W Liu, Y Zhu, Y Xu, H Shu, S Li IEEE Journal of Biomedical and Health Informatics 26 (5), 2264-2275, 2021 | 9 | 2021 |
| 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 | 8 | 2023 |
Guanyu YangSchool of Computer Science and Engineering, Southeast University在 seu.edu.cn 的电子邮件经过验证