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ORCIDTao Zhong 0002
Person information
- affiliation: Southern Medical University, School of Biomedical Engineering, Guangzhou, China
Other persons with the same name
- Tao Zhong — disambiguation page
- Tao Zhong 0001
![[0009-0008-8327-8345]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0008-8327-8345")
— Intel, Beijing, China - Tao Zhong 0003 — Princeton University, Princeton, NJ, USA (and 1 more)
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2020 – today
- 2024
[j9]Minhui Tan, Zhiming Cui, Tao Zhong, Yu Fang, Yu Zhang, Dinggang Shen:
A progressive framework for tooth and substructure segmentation from cone-beam CT images. Comput. Biol. Medicine 169: 107839 (2024)- [j8]Tao Zhong, Ya Wang, Xiaotong Xu, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Gang Li, Yu Zhang:
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Comput. Medical Imaging Graph. 116: 102404 (2024) - [j7]Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li:
A joint brain extraction and image quality assessment framework for fetal brain MRI slices. NeuroImage 290: 120560 (2024) - [j6]Tao Zhong, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Shihua Yang, Zhuang Kang, Qianjin Feng, Gang Li, Yu Zhang:
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. NeuroImage 295: 120652 (2024) - [j5]Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li:
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. IEEE Trans. Medical Imaging 43(3): 1006-1017 (2024) - 2023
- [c6]Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang, Gang Li, Yu Zhang:
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. MICCAI (4) 2023: 470-480 - 2022
- [j4]Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, Fenqiang Zhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li, Yuyu Niu:
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage 247: 118799 (2022) - [j3]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li:
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage 253: 119097 (2022) - 2021
- [j2]Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li:
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage 227: 117649 (2021) - [j1]Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [c5]Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li:
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. MICCAI (7) 2021: 239-248 - 2020
- [c4]Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li:
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) 2020: 22-32 - [c3]Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen:
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. MLMI@MICCAI 2020: 170-179 - [c2]Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li:
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. MLMI@MICCAI 2020: 384-393 - [c1]Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li:
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) 2020: 415-424 - [i1]Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020)
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