| Learn to Segment Retinal Lesions and Beyond Q Wei, X Li, W Yu, X Zhang, Y Zhang, B Hu, B Mo, D Gong, N Chen, ... Proceedings of the international conference on pattern recognition, 2021 | 41 | 2021 |
| University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing Video. CGM Snoek, X Li, C Xu, DC Koelma TRECVID, 2017 | 30 | 2017 |
| Artificial intelligence can assist with diagnosing retinal vein occlusion Q Chen, WH Yu, S Lin, BS Liu, Y Wang, QJ Wei, XX He, F Ding, G Yang, ... International Journal of Ophthalmology 14 (12), 1895, 2021 | 27 | 2021 |
| Automated detection of severe diabetic retinopathy using deep learning method X Zhang, F Li, D Li, Q Wei, X Han, B Zhang, H Chen, Y Zhang, B Mo, B Hu, ... Graefe's Archive for Clinical and Experimental Ophthalmology, 1-8, 2022 | 26 | 2022 |
| Deep learning‐based detection and stage grading for optimising diagnosis of diabetic retinopathy Y Wang, M Yu, B Hu, X Jin, Y Li, X Zhang, Y Zhang, D Gong, C Wu, ... Diabetes/Metabolism Research and Reviews 37 (4), e3445, 2021 | 23 | 2021 |
| Laser scar detection in fundus images using convolutional neural networks Q Wei, X Li, H Wang, D Ding, W Yu, Y Chen Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 20 | 2019 |
| Semi-supervised keypoint detector and descriptor for retinal image matching J Liu, X Li, Q Wei, J Xu, D Ding European Conference on Computer Vision, 593-609, 2022 | 17 | 2022 |
| The validation of deep learning-based grading model for diabetic retinopathy W Zhang, D Li, Q Wei, D Ding, L Meng, Y Wang, X Zhao, Y Chen Frontiers in Medicine 9, 839088, 2022 | 12 | 2022 |
| Deep multiple instance learning with spatial attention for ROP case classification, instance selection and abnormality localization X Li, W Wan, Y Zhou, J Zhao, Q Wei, J Rong, P Zhou, L Xu, L Lang, Y Liu, ... 2020 25th International Conference on Pattern Recognition (ICPR), 7293-7298, 2021 | 11 | 2021 |
| Three-dimensional diabetic macular edema thickness maps based on fluid segmentation and fovea detection using deep learning JJ Xu, Y Zhou, QJ Wei, K Li, ZP Li, T Yu, JC Zhao, DY Ding, XR Li, ... International Journal of Ophthalmology 15 (3), 495, 2022 | 8 | 2022 |
| Harvesting deep models for cross-lingual image annotation Q Wei, X Wang, X Li Proceedings of the 15th International Workshop on Content-Based Multimedia …, 2017 | 5 | 2017 |
| Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images Q Wei, J Yang, B Wang, J Wang, J Zhao, X Zhao, S Yang, N Manivannan, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1* | 2023 |
| MMF-Net: A Novel Multimodal Multiscale Fusion Network for Artery/Vein Segmentation in Retinal Fundus J Yi, C Chen, Q Wei, D Ding, G Yang 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 1 | 2022 |
| Retinopathy is associated with impaired cognition in patients undergoing peritoneal dialysis J Liao, Q Wei, Y He, Y Liao, Z Xiong, Q Wang, D Ding, X Huang, Z Xiong, ... Renal Failure 45 (2), 2258989, 2023 | | 2023 |
| Diagnostic performance of deep learning for multiple retinal diseases based on wide-field fundus photographs of true color J Yang, K Tian, W Yu, Q Wei, D Ding, X Li, Y Chen Investigative Ophthalmology & Visual Science 63 (7), 179–F0026-179–F0026, 2022 | | 2022 |
| Co-Teaching for Unsupervised Domain Adaptation and Expansion K Tian, Q Wei, X Li arXiv preprint arXiv:2204.01210, 2022 | | 2022 |
| Supplementary Material for “Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching” J Liu, X Li, Q Wei, J Xu, D Ding | | |
