| Automated identification and grading system of diabetic retinopathy using deep neural networks W Zhang, J Zhong, S Yang, Z Gao, J Hu, Y Chen, Z Yi Knowledge-Based Systems 175, 12-25, 2019 | 247 | 2019 |
| Automated retinopathy of prematurity screening using deep neural networks J Wang, R Ju, Y Chen, L Zhang, J Hu, Y Wu, W Dong, J Zhong, Z Yi EBioMedicine 35, 361-368, 2018 | 145 | 2018 |
| Automated analysis for retinopathy of prematurity by deep neural networks J Hu, Y Chen, J Zhong, R Ju, Z Yi IEEE transactions on medical imaging 38 (1), 269-279, 2018 | 117 | 2018 |
| Multi-task learning for the segmentation of organs at risk with label dependence T He, J Hu, Y Song, J Guo, Z Yi Medical Image Analysis 61, 101666, 2020 | 82 | 2020 |
| Automated segmentation of macular edema in OCT using deep neural networks J Hu, Y Chen, Z Yi Medical image analysis 55, 216-227, 2019 | 75 | 2019 |
| Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy Y Song, J Hu, Q Wu, F Xu, S Nie, Y Zhao, S Bai, Z Yi Radiotherapy and Oncology 145, 186-192, 2020 | 55 | 2020 |
| Dose prediction using a deep neural network for accelerated planning of rectal cancer radiotherapy Y Song, J Hu, Y Liu, H Hu, Y Huang, S Bai, Z Yi Radiotherapy and Oncology 149, 111-116, 2020 | 54 | 2020 |
| Adaptive multiobjective particle swarm optimization based on evolutionary state estimation B Wu, W Hu, J Hu, GG Yen IEEE Transactions on Cybernetics 51 (7), 3738-3751, 2019 | 42 | 2019 |
| Automated segmentation of the clinical target volume in the planning CT for breast cancer using deep neural networks X Qi, J Hu, L Zhang, S Bai, Z Yi IEEE Transactions on Cybernetics 52 (5), 3446-3456, 2020 | 23 | 2020 |
| Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy J Hu, Y Song, Q Wang, S Bai, Z Yi Medical Image Analysis 67, 101886, 2021 | 16 | 2021 |
| DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks H Wang, H Zhang, J Hu, Y Song, S Bai, Z Yi International Journal of Intelligent Systems 35 (12), 1987-2008, 2020 | 16 | 2020 |
| VMAT dose prediction in radiotherapy by using progressive refinement UNet J Wang, J Hu, Y Song, Q Wang, X Zhang, S Bai, Z Yi Neurocomputing 488, 528-539, 2022 | 14 | 2022 |
| Multi-scale attention U-net for segmenting clinical target volume in graves’ ophthalmopathy J Hu, Y Song, L Zhang, S Bai, Z Yi Neurocomputing 427, 74-83, 2021 | 12 | 2021 |
| Clinical target volume segmentation for stomach cancer by stochastic width deep neural network L Xu, J Hu, Y Song, S Bai, Z Yi Medical Physics 48 (4), 1720-1730, 2021 | 10 | 2021 |
| Multi-view fusion segmentation for brain glioma on CT images H Wang, J Hu, Y Song, L Zhang, S Bai, Z Yi Applied Intelligence, 1-15, 2022 | 8 | 2022 |
| Residual neural network based classification of macular edema in oct Y Huang, J Hu 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 6 | 2019 |
| Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation. J Hu, C Yu, Z Yi, H Zhang International Journal of Neural Systems, 2350060-2350060, 2023 | 4 | 2023 |
| Segmentation for regions of interest in radiotherapy by self-supervised learning C Yu, J Hu, G Li, S Zhu, S Bai, Z Yi Knowledge-Based Systems 256, 109370, 2022 | 4 | 2022 |
| Surrogate dropout: Learning optimal drop rate through proxy J Hu, Y Chen, L Zhang, Z Yi Knowledge-Based Systems 206, 106340, 2020 | 3 | 2020 |
| Missed diagnoses detection by adversarial learning X Qi, J Hu, Z Yi Knowledge-Based Systems 220, 106903, 2021 | 2 | 2021 |
Yi ZhangProfessor of Computer Science, Sichuan UniversityVerified email at scu.edu.cn
