Fedni: Federated graph learning with network inpainting for population-based disease prediction L Peng, N Wang, N Dvornek, X Zhu, X Li IEEE Transactions on Medical Imaging 42 (7), 2032-2043, 2022 | 89 | 2022 |
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI N Wang, D Yao, L Ma, M Liu Medical image analysis 75, 102279, 2022 | 73 | 2022 |
MISSU: 3D medical image segmentation via self-distilling TransUNet N Wang, S Lin, X Li, K Li, Y Shen, Y Gao, L Ma IEEE transactions on medical imaging 42 (9), 2740-2750, 2023 | 37 | 2023 |
GATE: Graph CCA for temporal self-supervised learning for label-efficient fMRI analysis L Peng, N Wang, J Xu, X Zhu, X Li IEEE Transactions on Medical Imaging 42 (2), 391-402, 2022 | 32 | 2022 |
Diffusion weighted image reversible visible watermarking algorithm based on support vector regression N Wang, Z Li, X Cheng, Z Li 2018 14th IEEE International Conference on Signal Processing (ICSP), 1144-1148, 2018 | 5 | 2018 |
Dual watermarking algorithm based on singular value decomposition and compressive sensing N Wang, Z Li, X Cheng, Y Chen 2017 IEEE 17th International Conference on Communication Technology (ICCT …, 2017 | 4 | 2017 |
Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection N Wang, C Chen, L Ma, S Lin 2023 IEEE International Conference on Multimedia and Expo (ICME), 954-959, 2023 | 2 | 2023 |
Glass surface detection method based on visual distortion TAN Xin, Q Fulin, W Nan, Z Zhizhong, X Yuan, M Lizhuang Journal of Computer-Aided Design & Computer Graphics, 2023 | 2 | 2023 |
A Simple and Provable Approach for Learning on Noisy Labeled Medical Images N Wang, Z Di, H He, Q Jiang, X Li Proceedings of the 32nd ACM International Conference on Multimedia, 4397-4405, 2024 | | 2024 |
Self-supervised Learning for Multi-modal Medical Image Segmentation W Nan, L Shaohui, Q Fulin, C Yulong, L Ke, S Yunhang, M Lizhuang Journal of Computer-Aided Design & Computer Graphics, 0 | | |