| Surrogate-assisted retinal OCT image classification based on convolutional neural networks Y Rong, D Xiang, W Zhu, K Yu, F Shi, Z Fan, X Chen IEEE journal of biomedical and health informatics 23 (1), 253-263, 2018 | 121 | 2018 |
| MsTGANet: Automatic drusen segmentation from retinal OCT images M Wang, W Zhu, F Shi, J Su, H Chen, K Yu, Y Zhou, Y Peng, Z Chen, ... IEEE Transactions on Medical Imaging 41 (2), 394-406, 2021 | 71 | 2021 |
| Diverse data augmentation with diffusions for effective test-time prompt tuning CM Feng, K Yu*, Y Liu, S Khan, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 70 | 2023 |
| Semi-supervised capsule cGAN for speckle noise reduction in retinal OCT images M Wang, W Zhu, K Yu, Z Chen, F Shi, Y Zhou, Y Ma, Y Peng, D Bao, ... IEEE transactions on medical imaging 40 (4), 1168-1183, 2021 | 67 | 2021 |
| Speckle noise reduction for OCT images based on image style transfer and conditional GAN Y Zhou, K Yu, M Wang, Y Ma, Y Peng, Z Chen, W Zhu, F Shi, X Chen IEEE Journal of Biomedical and Health Informatics 26 (1), 139-150, 2021 | 60 | 2021 |
| Automatic pediatric congenital heart disease classification based on heart sound signal W Xu, K Yu, J Ye, H Li, J Chen, F Yin, J Xu, J Zhu, D Li, Q Shu Artificial intelligence in medicine 126, 102257, 2022 | 59 | 2022 |
| Automatic staging for retinopathy of prematurity with deep feature fusion and ordinal classification strategy Y Peng, W Zhu, Z Chen, M Wang, L Geng, K Yu, Y Zhou, T Wang, D Xiang, ... IEEE transactions on medical imaging 40 (7), 1750-1762, 2021 | 51 | 2021 |
| Exploring separable attention for multi-contrast MR image super-resolution CM Feng, Y Yan, K Yu, Y Xu, H Fu, J Yang, L Shao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 50 | 2024 |
| OCTRexpert: a feature-based 3D registration method for retinal OCT images L Pan, F Shi, D Xiang, K Yu, L Duan, J Zheng, X Chen IEEE Transactions on Image Processing 29, 3885-3897, 2020 | 27 | 2020 |
| Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation K Yu, F Shi, E Gao, W Zhu, H Chen, X Chen Biomedical optics express 9 (3), 962-983, 2018 | 24 | 2018 |
| Towards Instance-adaptive Inference for Federated Learning CM Feng, K Yu*, N Liu, X Xu, S Khan, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
| Graph attention u-net for retinal layer surface detection and choroid neovascularization segmentation in oct images Y Shen, J Li, W Zhu, K Yu, M Wang, Y Peng, Y Zhou, L Guan, X Chen IEEE Transactions on Medical Imaging 42 (11), 3140-3154, 2023 | 18 | 2023 |
| Single-channel sparse non-negative blind source separation method for automatic 3-D delineation of lung tumor in PET images I Kopriva, W Ju, B Zhang, F Shi, D Xiang, K Yu, X Wang, U Bagci, X Chen IEEE journal of biomedical and health informatics 21 (6), 1656-1666, 2016 | 17 | 2016 |
| Self-guided optimization semi-supervised method for joint segmentation of macular hole and cystoid macular edema in retinal OCT images M Wang, T Lin, Y Peng, W Zhu, Y Zhou, F Shi, K Yu, Q Meng, Y Liu, ... IEEE Transactions on Biomedical Engineering 70 (7), 2013-2024, 2023 | 11 | 2023 |
| A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models K Yu, X Chen, F Shi, W Zhu, B Zhang, D Xiang Medical Imaging 2016: Image Processing 9784, 787-793, 2016 | 11 | 2016 |
| OIPAV: an integrated software system for ophthalmic image processing, analysis, and visualization L Zhang, D Xiang, C Jin, F Shi, K Yu, X Chen Journal of Digital Imaging 32, 183-197, 2019 | 7 | 2019 |
| Common and rare fundus diseases identification using vision-language foundation model with knowledge of over 400 diseases M Wang, T Lin, A Lin, K Yu, Y Peng, L Wang, C Chen, K Zou, H Liang, ... arXiv preprint arXiv:2406.09317, 2024 | 6 | 2024 |
| Tiny-lesion segmentation in oct via multi-scale wavelet enhanced transformer M Wang, K Yu, X Xu, Y Zhou, Y Peng, Y Xu, RSM Goh, Y Liu, H Fu International Workshop on Ophthalmic Medical Image Analysis, 125-134, 2022 | 6 | 2022 |
| Multi-strategy deep learning method for glaucoma screening on fundus image M Wang, K Yu, W Zhu, F Shi, X Chen Investigative Ophthalmology & Visual Science 60 (9), 6148-6148, 2019 | 6 | 2019 |
| Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSE L Guan, K Yu, X Chen Medical Imaging 2019: Image Processing 10949, 800-806, 2019 | 6 | 2019 |
