Dongdong Gu

According to our database, Dongdong Gu authored at least 16 papers between 2019 and 2023.

Collaborative distances:

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

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

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI.

Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen

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

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.

Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.

Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue

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

2022

Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks.

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

Comput. Medical Imaging Graph., 2022

2021

On the performance of lung nodule detection, segmentation and classification.

Dongdong Gu, Guocai Liu, Zhong Xue

Comput. Medical Imaging Graph., 2021

A consistent deep registration network with group data modeling.

Dongdong Gu, Guocai Liu, Xiaohuan Cao, Zhong Xue, Dinggang Shen

Comput. Medical Imaging Graph., 2021

An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans.

Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen

Comput. Medical Imaging Graph., 2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.

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

BMC Medical Imaging, 2021

Variational Encoding and Decoding for Hybrid Supervision of Registration Network.

Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning.

Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance.

Yanfei Liu, Maodan Zhang, Qi Zhan, Dongdong Gu, Guocai Liu

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network.

Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks.

Zhongqiang Liu, Dongdong Gu, Yu Zhang, Xiaohuan Cao, Zhong Xue

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Two-Stage Unsupervised Learning Method for Affine and Deformable Medical Image Registration.

Dongdong Gu, Guocai Liu, Juanxiu Tian, Qi Zhan

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019