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| 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 | 376 | 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 | 169 | 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 | 91 | 2022 |
| 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 | 87 | 2016 |
| Network analysis reveals disrupted functional brain circuitry in drug-naive social anxiety disorder X Yang, J Liu, Y Meng, M Xia, Z Cui, X Wu, X Hu, W Zhang, G Gong, ... Neuroimage 190, 213-223, 2019 | 78 | 2019 |
| 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 | 68 | 2022 |
| Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations X Wu, Z Yang, SK Bailey, J Zhou, LE Cutting, JC Gore, Z Ding Neuroimage 152, 371-380, 2017 | 61 | 2017 |
| Improved DCT-based nonlocal means filter for MR images denoising J Hu, Y Pu, X Wu, Y Zhang, J Zhou Computational and mathematical methods in medicine 2012, 2012 | 61 | 2012 |
| 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 | 58 | 2021 |
| De-gan: Domain embedded gan for high quality face image inpainting X Zhang, X Wang, C Shi, Z Yan, X Li, B Kong, S Lyu, B Zhu, J Lv, Y Yin, ... Pattern Recognition 124, 108415, 2022 | 57 | 2022 |
| 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 |
| 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 | 55 | 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 | 53 | 2021 |
| Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning Z Ma, S Zhou, X Wu, H Zhang, W Yan, S Sun, J Zhou Physics in Medicine & Biology 64 (2), 025005, 2019 | 53 | 2019 |
| 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 | 51 | 2018 |
| 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 | 50 | 2022 |
| DA-DSUnet: dual attention-based dense SU-net for automatic head-and-neck tumor segmentation in MRI images P Tang, C Zu, M Hong, R Yan, X Peng, J Xiao, X Wu, J Zhou, L Zhou, ... Neurocomputing 435, 103-113, 2021 | 49 | 2021 |
| End-to-end multimodal image registration via reinforcement learning J Hu, Z Luo, X Wang, S Sun, Y Yin, K Cao, Q Song, S Lyu, X Wu Medical Image Analysis 68, 101878, 2021 | 47 | 2021 |
Zhaohua Ding, PhD, FAIMBEVanderbilt UniversityVerified email at vanderbilt.edu
