| Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning S Liang, F Tang, X Huang, K Yang, T Zhong, R Hu, S Liu, X Yuan, ... European radiology 29, 1961-1967, 2019 | 126 | 2019 |
| Metal artifact reduction on cervical CT images by deep residual learning X Huang, J Wang, F Tang, T Zhong, Y Zhang Biomedical engineering online 17, 1-15, 2018 | 107 | 2018 |
| Multi-site infant brain segmentation algorithms: the iSeg-2019 challenge Y Sun, K Gao, Z Wu, G Li, X Zong, Z Lei, Y Wei, J Ma, X Yang, X Feng, ... IEEE Transactions on Medical Imaging 40 (5), 1363-1376, 2021 | 71 | 2021 |
| Boosting‐based cascaded convolutional neural networks for the segmentation of CT organs‐at‐risk in nasopharyngeal carcinoma T Zhong, X Huang, F Tang, S Liang, X Deng, Y Zhang Medical physics 46 (12), 5602-5611, 2019 | 47 | 2019 |
| Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs F Tang, S Liang, T Zhong, X Huang, X Deng, Y Zhang, L Zhou European Radiology 30, 823-832, 2020 | 31 | 2020 |
| DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques T Zhong, F Zhao, Y Pei, Z Ning, L Liao, Z Wu, Y Niu, L Wang, D Shen, ... NeuroImage 227, 117649, 2021 | 23 | 2021 |
| A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort L Chen, Z Wu, D Hu, Y Wang, F Zhao, T Zhong, W Lin, L Wang, G Li Neuroimage 253, 119097, 2022 | 17 | 2022 |
| Joint image quality assessment and brain extraction of fetal MRI using deep learning L Liao, X Zhang, F Zhao, T Zhong, Y Pei, X Xu, L Wang, H Zhang, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 17 | 2020 |
| Anatomy-guided convolutional neural network for motion correction in fetal brain MRI Y Pei, L Wang, F Zhao, T Zhong, L Liao, D Shen, G Li Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 9 | 2020 |
| Learning spatiotemporal probabilistic atlas of fetal brains with anatomically constrained registration network Y Pei, L Chen, F Zhao, Z Wu, T Zhong, Y Wang, C Chen, L Wang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
| Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age T Zhong, J Wei, K Wu, L Chen, F Zhao, Y Pei, Y Wang, H Zhang, Z Wu, ... NeuroImage 247, 118799, 2022 | 5 | 2022 |
| Collaborative modality generation and tissue segmentation for early-developing macaque brain MR images X Wu, T Zhong, S Liang, L Wang, G Li, Y Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains T Zhong, Y Zhang, F Zhao, Y Pei, L Liao, Z Ning, L Wang, D Shen, G Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 1 | 2020 |
| PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-guided Networks Y Pei, F Zhao, T Zhong, L Ma, L Liao, Z Wu, L Wang, H Zhang, L Wang, ... IEEE Transactions on Medical Imaging, 2023 | | 2023 |
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillVerified email at med.unc.edu
