| Hierarchical clustering with hard-batch triplet loss for person re-identification K Zeng, M Ning, Y Wang, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 304 | 2020 |
| Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification S Yu, K Ma, Q Bi, C Bian, M Ning, N He, Y Li, H Liu, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 115 | 2021 |
| Dense cross-query-and-support attention weighted mask aggregation for few-shot segmentation X Shi, D Wei, Y Zhang, D Lu, M Ning, J Chen, K Ma, Y Zheng European Conference on Computer Vision, 151-168, 2022 | 58 | 2022 |
| 3D deeply-supervised U-net based whole heart segmentation Q Tong, M Ning, W Si, X Liao, J Qin Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 55 | 2018 |
| Multi-anchor active domain adaptation for semantic segmentation M Ning, D Lu, D Wei, C Bian, C Yuan, S Yu, K Ma, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 41 | 2021 |
| Llm lies: Hallucinations are not bugs, but features as adversarial examples JY Yao, KP Ning, ZH Liu, MN Ning, L Yuan arXiv preprint arXiv:2310.01469, 2023 | 35 | 2023 |
| Unsupervised domain adaptation for medical image segmentation by disentanglement learning and self-training Q Xie, Y Li, N He, M Ning, K Ma, G Wang, Y Lian, Y Zheng IEEE Transactions on Medical Imaging, 2022 | 35 | 2022 |
| Video-llava: Learning united visual representation by alignment before projection B Lin, B Zhu, Y Ye, M Ning, P Jin, L Yuan arXiv preprint arXiv:2311.10122, 2023 | 33 | 2023 |
| Energy clustering for unsupervised person re-identification K Zeng, M Ning, Y Wang, Y Guo Image and Vision Computing 98, 103913, 2020 | 23 | 2020 |
| Languagebind: Extending video-language pretraining to n-modality by language-based semantic alignment B Zhu, B Lin, M Ning, Y Yan, J Cui, HF Wang, Y Pang, W Jiang, J Zhang, ... arXiv preprint arXiv:2310.01852, 2023 | 18 | 2023 |
| Deformer: Towards displacement field learning for unsupervised medical image registration J Chen, D Lu, Y Zhang, D Wei, M Ning, X Shi, Z Xu, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 16 | 2022 |
| An inclusive task-aware framework for radiology report generation L Wang, M Ning, D Lu, D Wei, Y Zheng, J Chen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 15 | 2022 |
| A new bidirectional unsupervised domain adaptation segmentation framework M Ning, C Bian, D Wei, S Yu, C Yuan, Y Wang, Y Guo, K Ma, Y Zheng Information Processing in Medical Imaging: 27th International Conference …, 2021 | 15 | 2021 |
| Moe-llava: Mixture of experts for large vision-language models B Lin, Z Tang, Y Ye, J Cui, B Zhu, P Jin, J Zhang, M Ning, L Yuan arXiv preprint arXiv:2401.15947, 2024 | 11 | 2024 |
| Ensembled resunet for anatomical brain barriers segmentation M Ning, C Bian, C Yuan, K Ma, Y Zheng Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 9 | 2021 |
| Deviation based clustering for unsupervised person re-identification M Ning, K Zeng, Y Guo, Y Wang Pattern Recognition Letters 135, 237-243, 2020 | 9 | 2020 |
| A joint multi-scale convolutional network for fully automatic segmentation of the left ventricle Q Tong, Z Yuan, X Liao, M Zheng, W Zhu, G Zhang, M Ning 2017 IEEE International Conference on Image Processing (ICIP), 3110-3114, 2017 | 8 | 2017 |
| Repaint123: Fast and high-quality one image to 3d generation with progressive controllable 2d repainting J Zhang, Z Tang, Y Pang, X Cheng, P Jin, Y Wei, W Yu, M Ning, L Yuan arXiv preprint arXiv:2312.13271, 2023 | 7 | 2023 |
| A macro-micro weakly-supervised framework for as-oct tissue segmentation M Ning, C Bian, D Lu, HY Zhou, S Yu, C Yuan, Y Guo, Y Wang, K Ma, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 7 | 2020 |
| Automatic quantification of retinal photoreceptor integrity to predict persistent disease activity in neovascular age-related macular degeneration using deep learning X Song, Q Xu, H Li, Q Fan, Y Zheng, Q Zhang, C Chu, Z Zhang, C Yuan, ... Frontiers in Neuroscience 16, 952735, 2022 | 6 | 2022 |
