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Zhongxiang Ding
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2020 – today
- 2024
- [j13]Juncheng Yan, Luoyu Wang, Lei Pan, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Zhongxiang Ding, Xiuhong Ge:
Altered trends of local brain function in classical trigeminal neuralgia patients after a single trigger pain. BMC Medical Imaging 24(1): 66 (2024) - [j12]Lei Pan, Xuechun Wang, Xiuhong Ge, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Feng Shi, Zhongxiang Ding:
Application research on the diagnosis of classic trigeminal neuralgia based on VB-Net technology and radiomics. BMC Medical Imaging 24(1): 246 (2024) - [j11]Jurong Ding, Chenyu Feng, Hui Zhang, Yuan Li, Zhiling Tang, Qiang Chen, Xin Ding, Mei Wang, Zhongxiang Ding:
Changes in Resting-State Networks in Children with Growth Hormone Deficiency. Brain Connect. 14(2): 84-91 (2024) - [j10]Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tan, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Construction of unbiased dental template and parametric dental model for precision digital dentistry. Biomed. Signal Process. Control. 95: 106458 (2024) - [j9]Caiwen Jiang, Tianyu Wang, Yongsheng Pan, Zhongxiang Ding, Dinggang Shen:
Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT. Medical Image Anal. 95: 103194 (2024) - [c11]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage. SASHIMI@MICCAI 2024: 58-68 - [c10]Shijie Huang, Kai Zhang, Jiawei Huang, Lingnan Kong, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen:
Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss. PIPPI@MICCAI 2024: 70-81 - [c9]Kai Zhang, Shijie Huang, Fangmei Zhu, Zhongxiang Ding, Geng Chen, Dinggang Shen:
Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective. PIPPI@MICCAI 2024: 94-104 - [i10]Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding, Dinggang Shen:
A dual-task mutual learning framework for predicting post-thrombectomy cerebral hemorrhage. CoRR abs/2408.00940 (2024) - [i9]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR abs/2408.05803 (2024) - [i8]Yulin Wang, Honglin Xiong, Kaicong Sun, Shuwei Bai, Ling Dai, Zhongxiang Ding, Jiameng Liu, Qian Wang, Qian Liu, Dinggang Shen:
Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation. CoRR abs/2409.16818 (2024) - 2023
- [j8]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:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023) - [c8]Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen:
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage. IPMI 2023: 375-387 - [c7]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:
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI 2023: 1-4 - [c6]Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen:
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI 2023: 1-4 - [c5]Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen:
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network. MLMI@MICCAI (1) 2023: 33-41 - [i7]Lei Ma, Jingyang Zhang, Ke Deng, Peng Xue, Zhiming Cui, Yu Fang, Minhui Tang, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Construction of unbiased dental template and parametric dental model for precision digital dentistry. CoRR abs/2304.03556 (2023) - [i6]Lei Ma, Peng Xue, Yuning Gu, Yue Zhao, Min Zhu, Zhongxiang Ding, Dinggang Shen:
Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning. CoRR abs/2307.07953 (2023) - 2022
- [j7]Qi Feng, Jiangtao Liang, Luoyu Wang, Xiuhong Ge, Zhongxiang Ding, Haihong Wu:
A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters. BMC Medical Imaging 22(1): 150 (2022) - [j6]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:
Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Trans. Medical Imaging 41(1): 88-102 (2022) - [c4]Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen:
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images. ISBI 2022: 1-4 - 2021
- [j5]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:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021) - [j4]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021) - [i5]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021) - [i4]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:
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR abs/2109.03478 (2021) - 2020
- [j3]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:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j2]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:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020) - [i3]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:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020) - [i2]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:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i1]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:
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR abs/2005.04043 (2020)
2010 – 2019
- 2018
- [c3]Yanhong Yang, Hongling He, Daliang Wang, Zhongxiang Ding:
A Framework to Data Delivery Security for Big Data Annotation Delivery System. MASS 2018: 532-536 - 2017
- [c2]Yanhong Yang, Shaozhong Cao, Zhongxiang Ding:
Wireless Mote Middleware for Flexible Resource Allocation Validation. CWSN 2017: 3-11 - 2016
- [j1]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:
PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI. Neuroinformatics 14(4): 421-438 (2016) - 2015
- [c1]Yuehao Pan, Weimin Huang, Zhiping Lin, Wanzheng Zhu, Jiayin Zhou, Jocelyn Wong, Zhongxiang Ding:
Brain tumor grading based on Neural Networks and Convolutional Neural Networks. EMBC 2015: 699-702
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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