| Ce-net: Context encoder network for 2d medical image segmentation Z Gu, J Cheng, H Fu, K Zhou, H Hao, Y Zhao, T Zhang, S Gao, J Liu IEEE transactions on medical imaging 38 (10), 2281-2292, 2019 | 2118 | 2019 |
| Understanding adversarial attacks on deep learning based medical image analysis systems X Ma, Y Niu, L Gu, Y Wang, Y Zhao, J Bailey, F Lu Pattern Recognition 110, 107332, 2021 | 549 | 2021 |
| Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images Y Zhao, L Rada, K Chen, SP Harding, Y Zheng IEEE transactions on medical imaging 34 (9), 1797-1807, 2015 | 462 | 2015 |
| Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification H Zhang, Y Meng, Y Zhao, Y Qiao, X Yang, SE Coupland, Y Zheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 363 | 2022 |
| CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging L Mou, Y Zhao, H Fu, Y Liu, J Cheng, Y Zheng, P Su, J Yang, L Chen, ... Medical image analysis 67, 101874, 2021 | 309 | 2021 |
| ROSE: a retinal OCT-angiography vessel segmentation dataset and new model Y Ma, H Hao, J Xie, H Fu, J Zhang, J Yang, Z Wang, J Liu, Y Zheng, ... IEEE transactions on medical imaging 40 (3), 928-939, 2021 | 287 | 2021 |
| CS-Net: Channel and spatial attention network for curvilinear structure segmentation L Mou, Y Zhao, L Chen, J Cheng, Z Gu, H Hao, H Qi, Y Zheng, A Frangi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 278 | 2019 |
| Structure and illumination constrained GAN for medical image enhancement Y Ma, J Liu, Y Liu, H Fu, Y Hu, J Cheng, H Qi, Y Wu, J Zhang, Y Zhao IEEE Transactions on Medical Imaging 40 (12), 3955-3967, 2021 | 168* | 2021 |
| Dense dilated network with probability regularized walk for vessel detection L Mou, L Chen, J Cheng, Z Gu, Y Zhao, J Liu IEEE transactions on medical imaging 39 (5), 1392-1403, 2019 | 156 | 2019 |
| Retinal vessel segmentation: An efficient graph cut approach with retinex and local phase Y Zhao, Y Liu, X Wu, SP Harding, Y Zheng PloS one 10 (4), e0122332, 2015 | 156 | 2015 |
| An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study BM Williams, D Borroni, R Liu, Y Zhao, J Zhang, J Lim, B Ma, V Romano, ... Diabetologia 63, 419-430, 2020 | 144 | 2020 |
| A dementia classification framework using frequency and time-frequency features based on EEG signals P Durongbhan, Y Zhao, L Chen, P Zis, M De Marco, ZC Unwin, A Venneri, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5 …, 2019 | 141 | 2019 |
| Automatic 2-D/3-D vessel enhancement in multiple modality images using a weighted symmetry filter Y Zhao, Y Zheng, Y Liu, Y Zhao, L Luo, S Yang, T Na, Y Wang, J Liu IEEE transactions on medical imaging 37 (2), 438-450, 2017 | 132 | 2017 |
| Spatial uncertainty-aware semi-supervised crowd counting Y Meng, H Zhang, Y Zhao, X Yang, X Qian, X Huang, Y Zheng Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 116 | 2021 |
| Graph-based region and boundary aggregation for biomedical image segmentation Y Meng, H Zhang, Y Zhao, X Yang, Y Qiao, IJC MacCormick, X Huang, ... IEEE transactions on medical imaging 41 (3), 690-701, 2021 | 106* | 2021 |
| Intensity and compactness enabled saliency estimation for leakage detection in diabetic and malarial retinopathy Y Zhao, Y Zheng, Y Liu, J Yang, Y Zhao, D Chen, Y Wang IEEE transactions on medical imaging 36 (1), 51-63, 2016 | 86 | 2016 |
| Sparse-gan: Sparsity-constrained generative adversarial network for anomaly detection in retinal oct image K Zhou, S Gao, J Cheng, Z Gu, H Fu, Z Tu, J Yang, Y Zhao, J Liu 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1227-1231, 2020 | 85 | 2020 |
| SkrGAN: Sketching-rendering unconditional generative adversarial networks for medical image synthesis T Zhang, H Fu, Y Zhao, J Cheng, M Guo, Z Gu, B Yang, Y Xiao, S Gao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 81 | 2019 |
| Predicting myocardial infarction through retinal scans and minimal personal information A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ... Nature Machine Intelligence 4 (1), 55-61, 2022 | 76 | 2022 |
| A decision tree-initialised neuro-fuzzy approach for clinical decision support T Chen, C Shang, P Su, E Keravnou-Papailiou, Y Zhao, G Antoniou, ... Artificial Intelligence in Medicine 111, 101986, 2021 | 72 | 2021 |
Jiang LiuSouthern University of Science and TechnologyПотвърден имейл адрес: sustech.edu.cn
