| 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 | 47 | 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 | 44 | 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 | 39 | 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 | 39 | 2020 |
| Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network Y Huang, Z Zhong, J Yuan, X Tang Biomedical Signal Processing and Control 60, 101939, 2020 | 31 | 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 | 29 | 2021 |
| 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 | 29 | 2020 |
| 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 | 28 | 2023 |
| 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 | 23 | 2023 |
| 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 | 19 | 2024 |
| 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 |
| 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 |
| Learning enhancement from degradation: A diffusion model for fundus image enhancement P Cheng, L Lin, Y Huang, H He, W Luo, X Tang arXiv preprint arXiv:2303.04603, 2023 | 4 | 2023 |
| Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images Z Wang, Y Huang, J Lyu, P Cheng, X Tang The Fourth International Symposium on Image Computing and Digital Medicine …, 2020 | 4 | 2020 |
| AugPaste: One-shot anomaly detection for medical images W Huang, Y Huang, X Tang International Workshop on Ophthalmic Medical Image Analysis, 1-11, 2022 | 3 | 2022 |
| Automated diabetic retinopathy identification via lesion guided network X Tang, Y Huang, L Lin, M Li, J Yuan The Fourth International Symposium on Image Computing and Digital Medicine …, 2020 | 3 | 2020 |
| Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification Y Huang, P Cheng, R Tam, X Tang arXiv preprint arXiv:2403.07576, 2024 | 2* | 2024 |
| MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data F Zhang, S Li, T Wei, L Lin, Y Huang, P Cheng, X Tang International Workshop on Machine Learning in Medical Imaging, 314-324, 2023 | 2 | 2023 |
| An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis S Li, J Qiu, Y Huang, X Tang, TT Ye Medical Imaging 2023: Image Processing 12464, 854-861, 2023 | 2 | 2023 |
Xiaoying TangSouthern University of Science and TechnologyVerified email at sustc.edu.cn
