Dongdong Chen - RankMe

26 papers Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Motif-aware brain functional connectivity network analysis for cognitive disorder diagnosis. Pattern Recognit. Dongdong Chen, Linlin Yao, Lu Bai, Edwin R. Hancock, Lichi Zhang
2025	J	`jnl`	AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. IEEE Trans. Medical Imaging Linlin Yao, Dongdong Chen, Xiangyu Zhao, Manman Fei, Zhiyun Song, Zhong Xue, Yiqiang Zhan, Bin Song, Feng Shi, Qian Wang, Dinggang Shen
2025	J	`jnl`	Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis. CoRR Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu, Zhiyun Song, Shengyu Lu, Qian Wang, Dinggang Shen, Lichi Zhang
2025	J	`jnl`	Domain generalization for mammographic image analysis with contrastive learning. Comput. Biol. Medicine Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Xiangyu Zhao, Chunling Liu, Zaiyi Liu, Yajia Gu, Dinggang Shen, Jie-Zhi Cheng
2025	J	`jnl`	Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification. IEEE Trans. Neural Networks Learn. Syst. Dongdong Chen, Mengjun Liu, Zhenrong Shen, Linlin Yao, Xiangyu Zhao, Zhiyun Song, Haolei Yuan, Qian Wang, Lichi Zhang
2025	J	`jnl`	Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. Knowl. Based Syst. Dongdong Chen, Mengjun Liu, Sheng Wang, Zheren Li, Lu Bai, Qian Wang, Dinggang Shen, Lichi Zhang
2025	—	`conf`	RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis. MICCAI (16) Yusong Sun, Dongdong Chen, Mengjun Liu, Zhenrong Shen, Zhiyun Song, Yuqi Hu, Manman Fei, Xu Han, Zelin Liu, Xingkai Fang, Lu Bai, Lichi Zhang
2025	J	`jnl`	Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images. Expert Syst. Appl. Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Mengjun Liu, Qian Wang, Xuehai Wu, Lichi Zhang
2025	J	`jnl`	Whole slide cervical cancer classification via graph attention networks and contrastive learning. Neurocomputing Manman Fei, Xin Zhang, Dongdong Chen, Zhiyun Song, Qian Wang, Lichi Zhang
2024	—	`conf`	Affinity Learning Based Brain Function Representation for Disease Diagnosis. MICCAI (2) Mengjun Liu, Zhiyun Song, Dongdong Chen, Xin Wang, Zixu Zhuang, Manman Fei, Lichi Zhang, Qian Wang
2024	J	`jnl`	Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. IEEE Trans. Affect. Comput. Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Rubai Zhou, Wenxian Lu, Lichi Zhang, Dinggang Shen, Qian Wang, Daihui Peng
2024	J	`jnl`	Randomizing Human Brain Function Representation for Brain Disease Diagnosis. IEEE Trans. Medical Imaging Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Zixu Zhuang, Xin Wang, Lichi Zhang, Daihui Peng, Qian Wang
2024	—	`conf`	Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis. MICCAI (11) Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu, Zhiyun Song, Qian Wang, Lichi Zhang
2023	J	`jnl`	Domain Generalization for Mammographic Image Analysis via Contrastive Learning. CoRR 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
2023	—	`conf`	FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis. MICCAI (8) Dongdong Chen, Lichi Zhang
2023	J	`jnl`	Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
2023	—	`conf`	Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis. MICCAI (8) Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang
2023	—	`conf`	One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification. MICCAI (4) Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang
2023	J	`jnl`	PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching. CoRR Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang
2023	J	`jnl`	Position-aware and structure embedding networks for deep graph matching. Pattern Recognit. Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock
2023	J	`jnl`	Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images. CoRR 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
2021	—	`conf`	Automatic Terrain Generation System Based on Path Search Optimization. CONF-CDS Jiatong Liu, Dongdong Chen, Chengyou Zhang, Duyang Li, Xiaoyan Zhang
2021	—	`conf`	FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening. BIBM Jiatong Liu, Changbin Pan, Dongdong Chen, Weiping Lin, Shangyuan Feng, Sufang Qiu, Beizhan Wang, Kunhong Liu
2021	J	`jnl`	Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock
2019	J	`jnl`	Depth-based subgraph convolutional auto-encoder for network representation learning. Pattern Recognit. Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock
2019	J	`jnl`	Quantum-based subgraph convolutional neural networks. Pattern Recognit. Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock