Publications

Uncertainty Regularized Evidential Regression
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
Association for the Advancement of Artificial Intelligence (AAAI 2024, oral)
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data
Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023, oral, STAR Award)
BPEN: Brain Posterior Evidential Network for Trustworthy Brain Imaging Analysis
Kai Ye, Siyuan Dai, Junyi Li, Igor Fortel, Haoteng Tang, Scott Mackin, Alex Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Neural Networks, 2024
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)
SIN-Seg: A Joint Spatial-Spectral Information Fusion Model for Medical Image Segmentation
Siyuan Dai, Kai Ye, Charlie Zhan, Haoteng Tang, Liang Zhan
International Conference on Intelligent Biology and Medicine (ICIBM 2024, oral, NSF travel award)