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 |
The SUSTech-SYSU dataset for automatically segmenting and classifying corneal ulcers L Deng, J Lyu, H Huang, Y Deng, J Yuan, X Tang Scientific data 7 (1), 23, 2020 | 40 | 2020 |
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 |
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 |
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 |
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 |
Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation from Dermoscopic Images Z Wang, J Lyu, W Luo, X Tang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 13 | 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 |
Fully Automatic White Matter Hyperintensity Segmentation using U-net and Skip Connection Y Zhang, J Wu, W Chen, Y Liu, J Lyu, H Shi, Y Chen, EX Wu, X Tang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 11 | 2019 |
autoSMIM: Automatic Superpixel-based Masked Image Modeling for Skin Lesion Segmentation Z Wang, J Lyu, X Tang IEEE Transactions on Medical Imaging, 2023 | 10 | 2023 |
Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline F Sun, J Lyu, S Jian, Y Qin, X Tang European radiology 33 (12), 8844-8853, 2023 | 5 | 2023 |
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 |
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 |
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment H Yang, J Lyu, P Cheng, X Tang arXiv preprint arXiv:2108.00690, 2021 | 3 | 2021 |
Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation Z Wang, J Lyu, W Luo, X Tang Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021 …, 2021 | 3 | 2021 |
Transfer Learning for Automatic Cornea Segmentation based on Ocular Staining Images J Lyu, J Qiu, L Deng, Y Zhang, TTT Ye, X Tang The Fourth International Symposium on Image Computing and Digital Medicine …, 2020 | 3 | 2020 |
A Survey on Deep Learning-Based Diffeomorphic Mapping H Yang, J Lyu, R Tam, X Tang Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2023 | 2 | 2023 |