Zhongxiang Ding

According to our database, Zhongxiang Ding authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Altered trends of local brain function in classical trigeminal neuralgia patients after a single trigger pain.

Juncheng Yan, Luoyu Wang, Lei Pan, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Zhongxiang Ding, Xiuhong Ge

BMC Medical Imaging, December, 2024

Changes in Resting-State Networks in Children with Growth Hormone Deficiency.

Jurong Ding, Chenyu Feng, Hui Zhang, Yuan Li, Zhiling Tang, Qiang Chen, Xin Ding, Mei Wang, Zhongxiang Ding

Brain Connect., 2024

2023

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.

Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen

Patterns, September, 2023

Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning.

Lei Ma, Peng Xue, Yuning Gu, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen

CoRR, 2023

Construction of unbiased dental template and parametric dental model for precision digital dentistry.

Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tang, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen

CoRR, 2023

Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network.

Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.

Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.

Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage.

Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation.

Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters.

Qi Feng, Jiangtao Liang, Luoyu Wang, Xiuhong Ge, Zhongxiang Ding, Haihong Wu

BMC Medical Imaging, 2022

Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images.

Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.

Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen

Medical Image Anal., 2021

Hypergraph learning for identification of COVID-19 with CT imaging.

Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

Medical Image Anal., 2021

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation.

Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

CoRR, 2021

2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen

IEEE Trans. Medical Imaging, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.

Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging.

Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

CoRR, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.

Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen

CoRR, 2020

2018

A Framework to Data Delivery Security for Big Data Annotation Delivery System.

Yanhong Yang, Hongling He, Daliang Wang, Zhongxiang Ding

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

2017

Wireless Mote Middleware for Flexible Resource Allocation Validation.

Yanhong Yang, Shaozhong Cao, Zhongxiang Ding

Proceedings of the Wireless Sensor Networks, 2017

2016

PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI.

Huiyuan Huang, Zhongxiang Ding, Dewang Mao, Jianhua Yuan, Fangmei Zhu, Shuda Chen, Yan Xu, Lin Lou, Xiaoyan Feng, Le Qi, Wusi Qiu, Han Zhang, Yufeng Zang

Neuroinformatics, 2016

2015

Brain tumor grading based on Neural Networks and Convolutional Neural Networks.

Yuehao Pan, Weimin Huang, Zhiping Lin, Wanzheng Zhu, Jiayin Zhou, Jocelyn Wong, Zhongxiang Ding

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015