Orientation and context entangled network for retinal vessel segmentation X Wei, K Yang, D Bzdok, Y Li Expert Systems with Applications 217, 119443, 2023 | 31 | 2023 |
DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement X Wei, X Lin, Y Li Digital Signal Processing 144, 104256, 2024 | 25* | 2024 |
SARN: A lightweight stacked attention residual network for low-light image enhancement X Wei, X Zhang, Y Li IEEE International Conference on Robotics and Automation Engineering, 2021 | 11 | 2021 |
Tsn-ca: A two-stage network with channel attention for low-light image enhancement X Wei, X Zhang, Y Li International Conference on Artificial Neural Networks (ICANN), 2022 | 9 | 2022 |
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays X Wei, X Niu, X Zhang, Y Li IEEE International Conference on Big Data (Big Data), 2022 | 6 | 2022 |
Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance X Lin, X Wei, S Zhao, Y Li IEEE International Symposium on Biomedical Imaging (ISBI), 2024 | 2 | 2024 |
Retinal vessel segmentation with deep graph and capsule reasoning X Wei, X Lin, H Liu, S Zhao, Y Li arXiv preprint arXiv:2409.11508, 2024 | 1 | 2024 |
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion X Wei, K Zhao, Y Jiao, NB Carlisle, H Xie, GA Fonzo, Y Zhang Neural Networks 184, 107066, 2025 | | 2025 |
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG X Wei, K Zhao, Y Jiao, NB Carlisle, H Xie, Y Zhang arXiv preprint arXiv:2411.19230, 2024 | | 2024 |
VPBSD: Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation X Lin, S Zhao, X Wei, A Shmuel, Y Li arXiv preprint arXiv:2411.09567, 2024 | | 2024 |
Learning Deep Discriminative Features for Retinal Vessel Segmentation X Wei McGill University (Canada), 2023 | | 2023 |