Follow
Qijie Wei
Title
Cited by
Cited by
Year
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, 2019
342019
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
292017
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
232021
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
202022
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
182021
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
182019
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
112021
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
102022
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
102022
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
62022
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
52017
Cross-domain Collaborative Learning for Recognizing Multiple Retinal Diseases from Wide-Field Fundus Images
Q Wei, J Yang, B Wang, J Wang, J Zhao, X Zhao, S Yang, N Manivannan, ...
arXiv preprint arXiv:2305.08078, 2023
12023
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
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
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
2022
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
The system can't perform the operation now. Try again later.
Articles 1–18