| On the performance of lung nodule detection, segmentation and classification D Gu, G Liu, Z Xue Computerized Medical Imaging and Graphics 89, 101886, 2021 | 63 | 2021 |
| 医学图像分析深度学习方法研究与挑战 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 | 43 | 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 | 20 | 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 | 17 | 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 | 9 | 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 | 8 | 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 | 7 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 3 | 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 | 3 | 2019 |
| 三相光伏并网逆变器多目标优化模型预测控制 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 | 3 | 2016 |
| 用于肿瘤调强放射治疗影像分析与转换的深度学习方法 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 | 1 | 2022 |
| Comparison of 2D and 3D U-Nets for Organ Segmentation D Gu, Z Xue Auto-Segmentation for Radiation Oncology, 113-124, 2021 | 1 | 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 | 1 | 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 | | 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 | | 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 | | 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 | | 2023 |
