Local Variational Bayesian Inference Using Niche Differential Evolution for Brain Magnetic Resonance Image Segmentation. - Zhe Li 006; Zexuan Ji; Yong Xia 001 (IScIDE (1), 2015)

Brain voxel classification in magnetic resonance images using niche differential evolution based Bayesian inference of variational mixture of Gaussians. - Zhe Li 006; Yong Xia 001; Zexuan Ji; Yanning Zhang 001 (Neurocomputing, 2017)

CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm. - Zhe Li 006; Yong Xia 001; Hichem Sahli (BICS, 2018)

VBI-MRF model for image segmentation. - Yong Xia 001; Zhe Li 006 (Multim. Tools Appl., 2018)

CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images. - Zhe Li 006; Yong Xia 001; Hichem Sahli (Cogn. Comput., 2019)

Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images. - Zhe Li 006; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2021)

Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network. - Zhe Li 006; Yuming Jiang 005; Leon Liu; Yong Xia 001; Ruijiang Li (AMAI@MICCAI, 2023)

Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. - Zhe Li 006; Yuming Jiang 005; Mengkang Lu; Ruijiang Li; Yong Xia 001 (IEEE Trans. Medical Imaging, 2023)