Dongdong Chen

According to our database, Dongdong Chen authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Whole slide cervical cancer classification via graph attention networks and contrastive learning.

Manman Fei, Xin Zhang, Dongdong Chen, Zhiyun Song, Qian Wang, Lichi Zhang

Neurocomputing, 2025

2024

Randomizing Human Brain Function Representation for Brain Disease Diagnosis.

Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Zixu Zhuang, Xin Wang, Lichi Zhang, Daihui Peng, Qian Wang

IEEE Trans. Medical Imaging, July, 2024

Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification.

Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Rubai Zhou, Wenxian Lu, Lichi Zhang, Dinggang Shen, Qian Wang, Daihui Peng

IEEE Trans. Affect. Comput., 2024

Affinity Learning Based Brain Function Representation for Disease Diagnosis.

Mengjun Liu, Zhiyun Song, Dongdong Chen, Xin Wang, Zixu Zhuang, Manman Fei, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis.

Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu, Zhiyun Song, Qian Wang, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Graph Motif Entropy for Understanding Time-Evolving Networks.

Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Position-aware and structure embedding networks for deep graph matching.

Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock

Pattern Recognit., April, 2023

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images.

Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Qian Wang, Xuehai Wu, Lichi Zhang

CoRR, 2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning.

Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng

CoRR, 2023

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching.

Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang

CoRR, 2023

One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.

Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang

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

FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis.

Dongdong Chen, Lichi Zhang

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

Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis.

Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang

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

2021

Thermodynamic motif analysis for directed stock market networks.

Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock

Pattern Recognit., 2021

Automatic Terrain Generation System Based on Path Search Optimization.

Jiatong Liu, Dongdong Chen, Chengyou Zhang, Duyang Li, Xiaoyan Zhang

Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening.

Jiatong Liu, Changbin Pan, Dongdong Chen, Weiping Lin, Shangyuan Feng, Sufang Qiu, Beizhan Wang, KunHong Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019

Depth-based subgraph convolutional auto-encoder for network representation learning.

Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock

Pattern Recognit., 2019

Quantum-based subgraph convolutional neural networks.

Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock

Pattern Recognit., 2019