| ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism L Wei, X Ye, Y Xue, T Sakurai, L Wei Briefings in Bioinformatics 22 (5), bbab041, 2021 | 52 | 2021 |
| Stain Style Transfer Using Transitive Adversarial Networks S Cai, Y Xue, Q Gao, M Du, G Chen, H Zhang, T Tong International Workshop on Machine Learning for Medical Image Reconstruction …, 2019 | 17 | 2019 |
| Cuss-net: a cascaded unsupervised-based strategy and supervised network for biomedical image diagnosis and segmentation X Zhou, Z Li, Y Xue, S Chen, M Zheng, C Chen, Y Yu, X Nie, X Lin, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 12 | 2023 |
| Attention Based Image Compression Post-Processing Convolutional Neural Network Y Xue, J Su The IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 12 | 2019 |
| Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer J Lan, M Chen, J Wang, M Du, Z Wu, H Zhang, Y Xue, T Wang, L Chen, ... Cell Reports Medicine 4 (4), 2023 | 4 | 2023 |
| Unpaired stain style transfer using invertible neural networks based on channel attention and long-range residual J Lan, S Cai, Y Xue, Q Gao, M Du, H Zhang, Z Wu, Y Deng, Y Huang, ... IEEE Access 9, 11282-11295, 2021 | 4 | 2021 |
| Better performance with transformer: CPPFormer in the precise prediction of cell-penetrating peptides Y Xue, X Ye, L Wei, X Zhang, T Sakurai, L Wei Current Medicinal Chemistry 29 (5), 881-893, 2022 | 3 | 2022 |
| Stereo cross global learnable attention module for stereo image super-resolution Y Zhou, Y Xue, W Deng, R Nie, J Zhang, J Pu, Q Gao, J Lan, T Tong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Deep learning framework for detecting positive lymph nodes of gastric cancer on histopathological images Y Huang, Y Xue, J Lan, Y Deng, G Chen, H Zhang, M Dang, T Tong Proceedings of the 2021 6th International Conference on Biomedical Imaging …, 2021 | 2 | 2021 |
| Image colorization algorithm based on foreground semantic information L WU, Y XUE, T Tong, M DU, Q GAO Journal of Computer Applications 41 (7), 2048, 2021 | 2 | 2021 |
| Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction Y Du, Y Xue, R Dharmakumar, SA Tsaftaris Workshop on Clinical Image-Based Procedures, 102-111, 2023 | 1 | 2023 |
| Enhanced multi-stage network for defocus deblurring using dual-pixel images R Li, J Xie, Y Xue, W Zou, T Tong, M Luo, Q Gao Thirteenth International Conference on Signal Processing Systems (ICSPS 2021 …, 2022 | 1 | 2022 |
| 与主观感知相一致的颜色校正评估数据集建立 张海锋， 牛玉贞， 薛雨阳 电子学报 45 (7), 1677-1685, 2017 | 1 | 2017 |
| A blind image super-resolution network guided by kernel estimation and structural prior knowledge J Zhang, Y Zhou, J Bi, Y Xue, W Deng, W He, T Zhao, K Sun, T Tong, ... Scientific Reports 14 (1), 9525, 2024 | | 2024 |
| Two-stage image colorization via color codebook H Tang, Y Zhou, Y Chen, X Zhang, Y Xue, X Lin, X Dai, X Qiu, Q Gao, ... Expert Systems with Applications, 123943, 2024 | | 2024 |
| The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023 J Lyu, C Qin, S Wang, F Wang, Y Li, Z Wang, K Guo, C Ouyang, M Tänzer, ... arXiv preprint arXiv:2404.01082, 2024 | | 2024 |
| Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction Y Xue, J Liu, S McDonagh, SA Tsaftaris Medical Imaging with Deep Learning, 2024 | | 2024 |
| Inference Stage Denoising for Undersampled MRI Reconstruction Y Xue, C Qin, SA Tsaftaris arXiv preprint arXiv:2402.08692, 2024 | | 2024 |
| Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information Y Zhou, Y Xue, J Bi, W He, X Zhang, J Zhang, W Deng, R Nie, J Lan, ... arXiv preprint arXiv:2312.07934, 2023 | | 2023 |
| Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement Y Xue, Y Du, G Carloni, E Pachetti, C Jordan, SA Tsaftaris International Workshop on Statistical Atlases and Computational Models of …, 2023 | | 2023 |
Tong Tong (童同)Imperial Vision Technology/ Fuzhou University在 imperial-vision.com 的电子邮件经过验证
