Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding. - Xiang Li 059; Ying Wei 007; Yunlong Zhou; Bin Hong (IEEE Access, 2019)

MSGSE-Net: Multi-scale guided squeeze-and-excitation network for subcortical brain structure segmentation. - Xiang Li 059; Ying Wei 007; Lin Wang; Shidi Fu; Chuyuan Wang (Neurocomputing, 2021)

EA-Net: Edge-aware network for brain structure segmentation via decoupled high and low frequency features. - Qian Hu; Ying Wei 007; Xiang Li 059; Chuyuan Wang; Jiaguang Li; Yuefeng Wang (Comput. Biol. Medicine, 2022)

Learning to segment subcortical structures from noisy annotations with a novel uncertainty-reliability aware learning framework. - Xiang Li 059; Ying Wei 007; Qian Hu; Chuyuan Wang; Jingjing Yang (Comput. Biol. Medicine, 2022)

Asymmetry-enhanced attention network for Alzheimer's diagnosis with structural Magnetic Resonance Imaging. - Chuyuan Wang; Ying Wei 007; Jiaguang Li; Xiang Li 059; Yue Liu 003; Qian Hu; Yuefeng Wang (Comput. Biol. Medicine, 2022)

SVF-Net: spatial and visual feature enhancement network for brain structure segmentation. - Qian Hu; Ying Wei 007; Xiang Li 059; Chuyuan Wang; Huan Wang; Shanze Wang (Appl. Intell., 2023)

Contextual-wise discriminative feature extraction and robust network learning for subcortical structure segmentation. - Xiang Li 059; Ying Wei 007; Chuyuan Wang; Qian Hu; Chengan Liu (Appl. Intell., 2023)