Automatic classification of retinal optical coherence tomography images with layer guided convolutional neural network L Huang, X He, L Fang, H Rabbani, X Chen IEEE Signal Processing Letters 26 (7), 1026-1030, 2019 | 108 | 2019 |
Multi-modal retinal image classification with modality-specific attention network X He, Y Deng, L Fang, Q Peng IEEE transactions on medical imaging 40 (6), 1591-1602, 2021 | 58 | 2021 |
Retinal optical coherence tomography image classification with label smoothing generative adversarial network X He, L Fang, H Rabbani, X Chen, Z Liu Neurocomputing 405, 37-47, 2020 | 45 | 2020 |
Intra-and inter-slice contrastive learning for point supervised oct fluid segmentation X He, L Fang, M Tan, X Chen Ieee Transactions on Image Processing 31, 1870-1881, 2022 | 41 | 2022 |
Querying labeled for unlabeled: Cross-image semantic consistency guided semi-supervised semantic segmentation L Wu, L Fang, X He, M He, J Ma, Z Zhong IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 36 | 2023 |
Sparsely annotated semantic segmentation with adaptive Gaussian mixtures L Wu, Z Zhong, L Fang, X He, Q Liu, J Ma, H Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
Structure-Guided Cross-Attention Network for Cross-Domain OCT Fluid Segmentation X He, Z Zhong, L Fang, M He, N Sebe IEEE Transactions on Image Processing 32, 309-320, 2022 | 5 | 2022 |
Self-supervised patient-specific features learning for OCT image classification L Fang, J Guo, X He, M Li Medical & Biological Engineering & Computing 60 (10), 2851-2863, 2022 | 2 | 2022 |