| 2025 | MICCAI | Predicting Alzheimer's Disease Progression Using a Regression-Based Survival Model with Longitudinal Data. | Ling Dai, Yiqun Sun, Jincheng Gu, Qinsen Bao, Feihong Liu, Dinggang Shen |
| 2025 | MICCAI | A$\upbeta $-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks. | Haoyue Yuan, Yuxiao Liu, Feihong Liu, Dinggang Shen |
| 2024 | MICCAI | UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. | Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang, Caiwen Jiang, Islem Rekik, Dinggang Shen |
| 2024 | MICCAI | Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. | Jiquan Ma, Yujun Teng, Geng Chen, Haotian Jiang, Kai Zhang, Feihong Liu, Islem Rekik, Dinggang Shen |
| 2023 | MICCAI | Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. | Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen |
| 2023 | MICCAI | Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. | Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen |
| 2023 | MICCAI | SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases. | Xiao Zhang, Feihong Liu, Yuning Gu, Xiaosong Xiong, Caiwen Jiang, Jun Feng, Dinggang Shen |
| 2019 | MICCAI | DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. | Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen |