Dongdong Gu
Dongdong Gu
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On the performance of lung nodule detection, segmentation and classification
D Gu, G Liu, Z Xue
Computerized Medical Imaging and Graphics 89, 101886, 2021
田娟秀, 刘国才, 谷珊珊, 鞠忠建, 刘劲光, 顾冬冬
自动化学报 44 (3), 401-424, 2018
Pair-wise and group-wise deformation consistency in deep registration network
D Gu, X Cao, S Ma, L Chen, G Liu, D Shen, Z Xue
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans
L Chen, D Gu, Y Chen, Y Shao, X Cao, G Liu, Y Gao, Q Wang, D Shen
Computerized Medical Imaging and Graphics 89, 101899, 2021
Two-stage method for segmentation of the myocardial scars and edema on multi-sequence cardiac magnetic resonance
Y Liu, M Zhang, Q Zhan, D Gu, G Liu
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic …, 2020
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks
K Wu, D Gu, P Qi, X Cao, D Wu, L Chen, G Qu, J Wang, X Pan, X Wang, ...
Computerized Medical Imaging and Graphics 102, 102126, 2022
Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
Z Liu, D Gu, Y Zhang, X Cao, Z Xue
International MICCAI Brainlesion Workshop 12658, 41-50, 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images
D Gu, L Chen, F Shan, L Xia, J Liu, Z Mo, F Yan, B Song, Y Gao, X Cao, ...
BMC Medical Imaging 21 (1), 1-12, 2021
An artificial‐intelligence‐based age‐specific template construction framework for brain structural analysis using magnetic resonance images
D Gu, F Shi, R Hua, Y Wei, Y Li, J Zhu, W Zhang, H Zhang, Q Yang, ...
Human Brain Mapping 44 (3), 861-875, 2023
Two-Stage Unsupervised Learning Method for Affine and Deformable Medical Image Registration
D Gu, G Liu, J Tian, Q Zhan
2019 IEEE International Conference on Image Processing (ICIP), 1332-1336, 2019
A consistent deep registration network with group data modeling
D Gu, G Liu, X Cao, Z Xue, D Shen
Computerized Medical Imaging and Graphics 90, 101904, 2021
基于 3D 深度残差全卷积网络的头颈 CT 放疗危及器官自动勾画
田娟秀, 刘国才, 谷珊珊, 顾冬冬, 龚军辉
中国生物医学工程学报, 257-265, 2019
杨捷, 顾冬冬, 孙明浩, 郭晓静, 高丽萍
电力系统保护与控制 15, 2016
刘国才, 顾冬冬, 刘骁, 刘劲光, 刘焰飞, 张毛蛋
中国生物医学工程学报 41 (2), 224-237, 2022
Comparison of 2D and 3D U-Nets for Organ Segmentation
D Gu, Z Xue
Auto-Segmentation for Radiation Oncology, 113-124, 2021
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning
D Gu, X Cao, G Liu, D Shen, Z Xue
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network
Y Yang, D Gu, X Zhang, Z Ding, F Gao, Z Xue, D Shen
International Workshop on Machine Learning in Medical Imaging, 33-41, 2023
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI
S Guo, J Zhang, D Gu, F Gao, Y Zhan, Z Xue, D Shen
International Workshop on Machine Learning in Medical Imaging, 157-165, 2023
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images
W Zhou, X Zhang, D Gu, S Wang, J Huo, R Zhang, Z Jiang, F Shi, Z Xue, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening
J Liu, X Zhang, D Gu, X Ouyang, J Zhang, X He, D Shen, Z Xue
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
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