| 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 | 129 | 2023 |
| Quaternion pseudo-Zernike moments combining both of RGB information and depth information for color image splicing detection B Chen, X Qi, X Sun, YQ Shi Journal of Visual Communication and Image Representation 49, 283-290, 2017 | 55 | 2017 |
| 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 Thirty-First International Joint Conference on Artificial Intelligence …, 2022 | 47 | 2022 |
| An improved splicing localization method by fully convolutional networks B Chen, X Qi, Y Wang, Y Zheng, HJ Shim, YQ Shi IEEE Access 6, 69472-69480, 2018 | 28 | 2018 |
| 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 | 22 | 2022 |
| Image splicing localization using residual image and residual-based fully convolutional network B Chen, X Qi, Y Zhou, G Yang, Y Zheng, B Xiao Journal of Visual Communication and Image Representation 73, 102967, 2020 | 16 | 2020 |
| 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 | 12 | 2022 |
| 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 |
| Neighborhood contrastive representation learning for attributed graph clustering T Wang, J Wu, Y Qi, X Qi, J Guan, Y Zhang, G Yang Neurocomputing 562, 126880, 2023 | 6 | 2023 |
| BiSC-UNet: A fine segmentation framework for kidney and renal tumor C Wang, Y He, X Qi, Z Zhao, G Yang, X Zhu, S Zhang, JL Dillenseger, ... 2019 Kidney Tumor Segmentation Challenge: KiTS19, Miccai 2019, 2019 | 5 | 2019 |
| EnMcGAN: adversarial ensemble learning for 3d complete renal structures segmentation Y He, R Ge, X Qi, G Yang, Y Chen, Y Kong, H Shu, JL Coatrieux, S Li Information Processing in Medical Imaging: 27th International Conference …, 2021 | 4 | 2021 |
| Fedsoda: Federated Cross-Assessment and Dynamic Aggregation for Histopathology Segmentation Y Zhang, Y Qi, X Qi, L Senhadji, Y Wei, F Chen, G Yang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+ T CMR Segmentation X Qi, Y He, Y Qi, Y Kong, G Yang, S Li IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
| Polyp Segmentation via Semantic Enhanced Perceptual Network T Wang, X Qi, G Yang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification Y Zhang, Y Qi, X Qi, Y Wei, G Yang arXiv preprint arXiv:2407.08167, 2024 | | 2024 |
| SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis Y Gao, G Yang, X Qi, Y Zhu, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | | 2022 |
| Energy-induced Explicit quantification for Multi-modality MRI fusion X Qi, Y Zhang, T Wang, G Yang, Y Jin, S Li | | |
| Contrastive Representation Learning for Attributed Graph Clustering T Wang, Y Qi, X Qi, Y Zhang, J Guan, G Yang Available at SSRN 4424706, 0 | | |
