| ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution Z Xu, S Liu, D Yuan, L Wang, J Chen, T Lukasiewicz, Z Fu, R Zhang Neurocomputing 500, 177-190, 2022 | 29 | 2022 |
| Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing D Yuan, Y Liu, Z Xu, Y Zhan, J Chen, T Lukasiewicz Computers in Biology and Medicine 153, 106487, 2023 | 19 | 2023 |
| μ-Net: Medical image segmentation using efficient and effective deep supervision D Yuan, Z Xu, B Tian, H Wang, Y Zhan, T Lukasiewicz Computers in Biology and Medicine, 106963, 2023 | 11 | 2023 |
| Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation Z Xu, D Yuan, T Lukasiewicz, C Chen, Y Miao, G Xu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation Z Xu, B Tian, S Liu, X Wang, D Yuan, J Gu, J Chen, T Lukasiewicz, ... IEEE Transactions on Network Science and Engineering, 2023 | 1 | 2023 |
