| Bsda-net: A boundary shape and distance aware joint learning framework for segmenting and classifying octa images L Lin, Z Wang, J Wu, Y Huang, J Lyu, P Cheng, J Wu, X Tang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 45 | 2021 |
| AADG: Automatic augmentation for domain generalization on retinal image segmentation J Lyu, Y Zhang, Y Huang, L Lin, P Cheng, X Tang IEEE Transactions on Medical Imaging 41 (12), 3699-3711, 2022 | 36 | 2022 |
| Lesion-based contrastive learning for diabetic retinopathy grading from fundus images Y Huang, L Lin, P Cheng, J Lyu, X Tang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 36 | 2021 |
| The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading L Lin, M Li, Y Huang, P Cheng, H Xia, K Wang, J Yuan, X Tang Scientific Data 7 (1), 409, 2020 | 36 | 2020 |
| Automated hemorrhage detection from coarsely annotated fundus images in diabetic retinopathy Y Huang, L Lin, M Li, J Wu, P Cheng, K Wang, J Yuan, X Tang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1369-1372, 2020 | 27 | 2020 |
| I-secret: Importance-guided fundus image enhancement via semi-supervised contrastive constraining P Cheng, L Lin, Y Huang, J Lyu, X Tang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 26 | 2021 |
| Fargo: A joint framework for faz and rv segmentation from octa images L Peng, L Lin, P Cheng, Z Wang, X Tang Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021 …, 2021 | 23 | 2021 |
| Identifying the key components in resnet-50 for diabetic retinopathy grading from fundus images: a systematic investigation Y Huang, L Lin, P Cheng, J Lyu, R Tam, X Tang Diagnostics 13 (10), 1664, 2023 | 21 | 2023 |
| Prior: Prototype representation joint learning from medical images and reports P Cheng, L Lin, J Lyu, Y Huang, W Luo, X Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 21 | 2023 |
| Fundus image based retinal vessel segmentation utilizing a fast and accurate fully convolutional network J Lyu, P Cheng, X Tang Ophthalmic Medical Image Analysis: 6th International Workshop, OMIA 2019 …, 2019 | 16 | 2019 |
| Ssit: Saliency-guided self-supervised image transformer for diabetic retinopathy grading Y Huang, J Lyu, P Cheng, R Tam, X Tang IEEE Journal of Biomedical and Health Informatics, 2024 | 15 | 2024 |
| Joined: Prior guided multi-task learning for joint optic disc/cup segmentation and fovea detection H He, L Lin, Z Cai, X Tang International Conference on Medical Imaging with Deep Learning, 477-492, 2022 | 15 | 2022 |
| Multi-modal brain tumor segmentation via missing modality synthesis and modality-level attention fusion Z Huang, L Lin, P Cheng, L Peng, X Tang arXiv preprint arXiv:2203.04586, 2022 | 12 | 2022 |
| Prior guided fundus image quality enhancement via contrastive learning P Cheng, L Lin, Y Huang, J Lyu, X Tang 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 521-525, 2021 | 11 | 2021 |
| Unsupervised domain adaptation for cross-modality retinal vessel segmentation via disentangling representation style transfer and collaborative consistency learning L Peng, L Lin, P Cheng, Z Huang, X Tang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 10 | 2022 |
| Blu-gan: Bi-directional convlstm u-net with generative adversarial training for retinal vessel segmentation L Lin, J Wu, P Cheng, K Wang, X Tang Intelligent Computing and Block Chain: First BenchCouncil International …, 2021 | 10 | 2021 |
| YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation L Lin, L Peng, H He, P Cheng, J Wu, KKY Wong, X Tang Medical Image Analysis 90, 102937, 2023 | 8 | 2023 |
| DS-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network Z Huang, L Lin, P Cheng, K Pan, X Tang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Lesion2void: unsupervised anomaly detection in fundus images Y Huang, W Huang, W Luo, X Tang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 5 | 2022 |
| Probability distribution guided optic disc and cup segmentation from fundus images P Cheng, J Lyu, Y Huang, X Tang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 5 | 2020 |
Xiaoying TangSouthern University of Science and Technology在 sustc.edu.cn 的电子邮件经过验证
