Visual Image Classification Based on Auto-Associative Memory. - Daoliang He; Yanjiang Wang 001; Mingyue Gao; Xinjing Song; Linxia Xiao (SSCI, 2019)

A Memory Model for Visual Image Classification Based on Residual Neural Network and Bayesian Decision. - Linxia Xiao; Yanjiang Wang 001 (SSCI, 2019)

Probabilistic Memory Model for Visual Images Categorization. - Linxia Xiao; Yanjiang Wang 001; Baodi Liu; Weifeng Liu 001 (Comput. Informatics, 2020)

Automatic identification of sweet spots from MERs for electrodes implantation in STN-DBS. - Linxia Xiao; Caizi Li; Yanjiang Wang 001; Weixin Si; Doudou Zhang; Hai Lin; Xiaodong Cai; Pheng-Ann Heng (Int. J. Comput. Assist. Radiol. Surg., 2021)

Amplitude-frequency-aware deep fusion network for optimal contact selection on STN-DBS electrodes. - Linxia Xiao; Caizi Li; Yanjiang Wang 001; Weixin Si; Hai Lin; Doudou Zhang; Xiaodong Cai; Pheng-Ann Heng (Sci. China Inf. Sci., 2022)

A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking. - Keliang Zhao; Jovial Niyogisubizo; Linxia Xiao; Yi Pan 001; Dongqing Wei; Didi Rosiyadi; Yanjie Wei (BIBM, 2023)

Multimodal MRI segmentation of key structures for microvascular decompression via knowledge-driven mutual distillation and topological constraints. - Renzhe Tu; Doudou Zhang; Caizi Li; Linxia Xiao; Yong Zhang; Xiaodong Cai; Weixin Si (Int. J. Comput. Assist. Radiol. Surg., 2024)

MF-SAM: enhancing multi-modal fusion with Mamba in SAM-Med3D for GPi segmentation. - Doudou Zhang; Junchi Ma; Jie Chen; Linxia Xiao; Xiangyun Liao; Yong Zhang; Weixin Si (Vis. Comput., 2025)

Token pyramid pooling-driven style adapter learning with dual-view balanced loss for imbalanced diabetic retinopathy grading. - Jilu Zhao; Xiaoqing Zhang; Jiawei Zhang; Hanxi Sun; Qiushi Nie; Zunjie Xiao; Linxia Xiao; Fengyun Zhang; Yan Hu; Jiang Liu 001 (Pattern Recognit., 2026)