| 3D conditional generative adversarial networks for high-quality PET image estimation at low dose Y Wang, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, D Shen, ... Neuroimage 174, 550-562, 2018 | 381 | 2018 |
| 3D auto-context-based locality adaptive multi-modality GANs for PET synthesis Y Wang, L Zhou, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, ... IEEE transactions on medical imaging 38 (6), 1328-1339, 2018 | 171 | 2018 |
| Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning K Wang, B Zhan, C Zu, X Wu, J Zhou, L Zhou, Y Wang Medical Image Analysis 79, 102447, 2022 | 97 | 2022 |
| Statistical iterative reconstruction using adaptive fractional order regularization Y Zhang, Y Wang, W Zhang, F Lin, Y Pu, J Zhou Biomedical optics express 7 (3), 1015-1029, 2016 | 94 | 2016 |
| Semisupervised tripled dictionary learning for standard-dose PET image prediction using low-dose PET and multimodal MRI Y Wang, G Ma, L An, F Shi, P Zhang, DS Lalush, X Wu, Y Pu, J Zhou, ... IEEE transactions on biomedical engineering 64 (3), 569-579, 2016 | 88 | 2016 |
| A fractional-order variational framework for retinex: fractional-order partial differential equation-based formulation for multi-scale nonlocal contrast enhancement with … YF Pu, P Siarry, A Chatterjee, ZN Wang, Z Yi, YG Liu, JL Zhou, Y Wang IEEE Transactions on Image Processing 27 (3), 1214-1229, 2017 | 73 | 2017 |
| Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation Y Wang, P Zhang, L An, G Ma, J Kang, F Shi, X Wu, J Zhou, DS Lalush, ... Physics in Medicine & Biology 61 (2), 791, 2016 | 72 | 2016 |
| Unified medical image segmentation by learning from uncertainty in an end-to-end manner P Tang, P Yang, D Nie, X Wu, J Zhou, Y Wang Knowledge-Based Systems 241, 108215, 2022 | 70 | 2022 |
| Medical image synthesis via deep learning B Yu, Y Wang, L Wang, D Shen, L Zhou Deep Learning in Medical Image Analysis: Challenges and Applications, 23-44, 2020 | 64 | 2020 |
| Tripled-uncertainty guided mean teacher model for semi-supervised medical image segmentation K Wang, B Zhan, C Zu, X Wu, J Zhou, L Zhou, Y Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 63 | 2021 |
| Multi-constraint generative adversarial network for dose prediction in radiotherapy B Zhan, J Xiao, C Cao, X Peng, C Zu, J Zhou, Y Wang Medical Image Analysis 77, 102339, 2022 | 60 | 2022 |
| Multi-level canonical correlation analysis for standard-dose PET image estimation L An, P Zhang, E Adeli, Y Wang, G Ma, F Shi, DS Lalush, W Lin, D Shen IEEE Transactions on Image Processing 25 (7), 3303-3315, 2016 | 60 | 2016 |
| Semi-supervised NPC segmentation with uncertainty and attention guided consistency L Hu, J Li, X Peng, J Xiao, B Zhan, C Zu, X Wu, J Zhou, Y Wang Knowledge-Based Systems 239, 108021, 2022 | 58 | 2022 |
| 3D transformer-GAN for high-quality PET reconstruction Y Luo, Y Wang, C Zu, B Zhan, X Wu, J Zhou, D Shen, L Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 57 | 2021 |
| Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut Z Ma, X Wu, Q Song, Y Luo, Y Wang, J Zhou Experimental and therapeutic medicine 16 (3), 2511-2521, 2018 | 56 | 2018 |
| Identification of the normal and abnormal heart sounds using wavelet-time entropy features based on OMS-WPD Y Wang, W Li, J Zhou, X Li, Y Pu Future Generation Computer Systems 37, 488-495, 2014 | 55 | 2014 |
| Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis Y Luo, L Zhou, B Zhan, Y Fei, J Zhou, Y Wang, D Shen Medical Image Analysis 77, 102335, 2022 | 54 | 2022 |
| ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease Y Shi, C Zu, M Hong, L Zhou, L Wang, X Wu, J Zhou, D Zhang, Y Wang Pattern Recognition 126, 108566, 2022 | 53 | 2022 |
| Automatic tumor segmentation with deep convolutional neural networks for radiotherapy applications Y Wang, C Zu, G Hu, Y Luo, Z Ma, K He, X Wu, J Zhou Neural Processing Letters 48, 1323-1334, 2018 | 52 | 2018 |
| Review and prospect: artificial intelligence in advanced medical imaging S Wang, G Cao, Y Wang, S Liao, Q Wang, J Shi, C Li, D Shen Frontiers in radiology 1, 781868, 2021 | 51 | 2021 |
Wu XiChengdu University of Information TechnologyVerified email at scu.edu.cn
