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2020 – today
- 2024
[c12]Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen:
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) 2024: 522-532- 2023
- [c11]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 - [c10]Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue:
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI 2023: 1-4 - [c9]Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen:
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) 2023: 551-560 - [c8]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 - [c7]Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen:
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) 2023: 157-165 - 2022
- [j5]Ke Wu, Dongdong Gu, Peihong Qi, Xiaohuan Cao, Dijia Wu, Lei Chen, Guoxiang Qu, Jiayu Wang, Xianpan Pan, Xuechun Wang, Yuntian Chen, Lizhou Chen, Zhong Xue, Jinhao Lyu:
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 102: 102126 (2022) - 2021
- [j4]Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021) - [j3]Dongdong Gu, Guocai Liu, Zhong Xue:
On the performance of lung nodule detection, segmentation and classification. Comput. Medical Imaging Graph. 89: 101886 (2021) - [j2]Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen:
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. Comput. Medical Imaging Graph. 89: 101899 (2021) - [j1]Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen:
A consistent deep registration network with group data modeling. Comput. Medical Imaging Graph. 90: 101904 (2021) - [c6]Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen:
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. MLMI@MICCAI 2021: 50-60 - [c5]Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue:
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. MLMI@MICCAI 2021: 61-69 - 2020
- [c4]Zhongqiang Liu, Dongdong Gu, Yu Zhang, Xiaohuan Cao, Zhong Xue:
Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks. BrainLes@MICCAI (1) 2020: 41-50 - [c3]Yanfei Liu, Maodan Zhang, Qi Zhan, Dongdong Gu, Guocai Liu:
Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance. MyoPS@MICCAI 2020: 26-36 - [c2]Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue:
Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. MICCAI (3) 2020: 171-180
2010 – 2019
- 2019
- [c1]Dongdong Gu, Guocai Liu, Juanxiu Tian, Qi Zhan:
Two-Stage Unsupervised Learning Method for Affine and Deformable Medical Image Registration. ICIP 2019: 1332-1336
Coauthor Index
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