Medsegdiff: Medical image segmentation with diffusion probabilistic model J Wu, R Fu, H Fang, Y Zhang, Y Yang, H Xiong, H Liu, Y Xu Medical Imaging with Deep Learning, 1623-1639, 2024 | 294 | 2024 |
Lesion detection and grading of diabetic retinopathy via two-stages deep convolutional neural networks Y Yang, T Li, W Li, H Wu, W Fan, W Zhang Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 254 | 2017 |
The twist tensor nuclear norm for video completion W Hu, D Tao, W Zhang, Y Xie, Y Yang IEEE transactions on neural networks and learning systems 28 (12), 2961-2973, 2016 | 192 | 2016 |
Moving object detection using tensor-based low-rank and saliently fused-sparse decomposition W Hu, Y Yang, W Zhang, Y Xie IEEE Transactions on Image Processing 26 (2), 724-737, 2016 | 78 | 2016 |
Multi-task character-level attentional networks for medical concept normalization J Niu, Y Yang, S Zhang, Z Sun, W Zhang Neural Processing Letters 49, 1239-1256, 2019 | 73 | 2019 |
Robust collaborative learning of patch-level and image-level annotations for diabetic retinopathy grading from fundus image Y Yang, F Shang, B Wu, D Yang, L Wang, Y Xu, W Zhang, T Zhang IEEE Transactions on Cybernetics 52 (11), 11407-11417, 2021 | 58 | 2021 |
Robust retinal vessel segmentation from a data augmentation perspective X Sun, H Fang, Y Yang, D Zhu, L Wang, J Liu, Y Xu Ophthalmic Medical Image Analysis: 8th International Workshop, OMIA 2021 …, 2021 | 49 | 2021 |
Temporal restricted visual tracking via reverse-low-rank sparse learning Y Yang, W Hu, Y Xie, W Zhang, T Zhang IEEE transactions on cybernetics 47 (2), 485-498, 2016 | 38 | 2016 |
A new low-rank tensor model for video completion W Hu, D Tao, W Zhang, Y Xie, Y Yang arXiv preprint arXiv:1509.02027, 2015 | 24 | 2015 |
SeATrans: learning segmentation-assisted diagnosis model via transformer J Wu, H Fang, F Shang, D Yang, Z Wang, J Gao, Y Yang, Y Xu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 20 | 2022 |
Adaptive neuro‐fuzzy sliding mode control guidance law with impact angle constraint Q Li, W Zhang, G Han, Y Yang IET Control Theory & Applications 9 (14), 2115-2123, 2015 | 20 | 2015 |
Discriminative reverse sparse tracking via weighted multitask learning Y Yang, W Hu, W Zhang, T Zhang, Y Xie IEEE Transactions on Circuits and Systems for Video Technology 27 (5), 1031-1042, 2015 | 19 | 2015 |
Classification of brain disease in magnetic resonance images using two-stage local feature fusion T Li, W Li, Y Yang, W Zhang PloS one 12 (2), e0171749, 2017 | 18 | 2017 |
A multicenter clinical study of the automated fundus screening algorithm F Li, J Pan, D Yang, J Wu, Y Ou, H Li, J Huang, H Xie, D Ou, X Wu, B Wu, ... Translational Vision Science & Technology 11 (7), 22-22, 2022 | 16 | 2022 |
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations J Wu, H Fang, Z Wang, D Yang, Y Yang, F Shang, W Zhou, Y Xu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 15 | 2022 |
Global coupled learning and local consistencies ensuring for sparse-based tracking Y Yang, Y Xie, W Zhang, W Hu, Y Tan Neurocomputing 160, 191-205, 2015 | 14 | 2015 |
Transferring Pre-Trained Large Language-Image Model for Medical Image Captioning. W Zhou, Z Ye, Y Yang, S Wang, H Huang, R Wang, D Yang CLEF (Working Notes), 1776-1784, 2023 | 12 | 2023 |
Residual-cyclegan based camera adaptation for robust diabetic retinopathy screening D Yang, Y Yang, T Huang, B Wu, L Wang, Y Xu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 12 | 2020 |
A weighted discriminative dictionary learning method for depression disorder classification using fMRI data X Wang, Y Ren, Y Yang, W Zhang, NN Xiong 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud …, 2016 | 12 | 2016 |
Opinions vary? diagnosis first! J Wu, H Fang, D Yang, Z Wang, W Zhou, F Shang, Y Yang, Y Xu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |