| 2025 | MICCAI | Hybrid Attention for Multimodal MCI Progression Prediction: Balancing Shared and Modality-Specific Features. | Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert |
| 2025 | MICCAI | Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval. | Baochang Zhang, Chen Jia, Shuting Liu, Heribert Schunkert, Nassir Navab |
| 2024 | MICCAI | Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. | Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert |
| 2024 | MICCAI | XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-Ray Angiography. | Baochang Zhang, Zichen Zhang, Shuting Liu, Shahrooz Faghihroohi, Heribert Schunkert, Nassir Navab |
| 2023 | MICCAI | Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. | Shuting Liu, Baochang Zhang, Rong Fang, Daniel Rueckert, Veronika A. Zimmer |
| 2023 | MICCAI | A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration. | Baochang Zhang, Shahrooz Faghihroohi, Mohammad Farid Azampour, Shuting Liu, Reza Ghotbi, Heribert Schunkert, Nassir Navab |
| 2021 | ICANN | Structure-Aware Multi-scale Hierarchical Graph Convolutional Network for Skeleton Action Recognition. | Changxiang He, Shuting Liu, Ying Zhao, Xiaofei Qin, Jiayuan Zeng, Xuedian Zhang |
| 2021 | ICONIP | Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition. | Changxiang He, Chen Xiao, Shuting Liu, Xiaofei Qin, Ying Zhao, Xuedian Zhang |
| 2019 | MICCAI | DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation. | Shuting Liu, Baochang Zhang, Xi Li, Yiqing Liu, Mengying Hu, Tian Guan, Yonghong He |
| 2019 | MICCAI | A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation. | Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao |