A Review of Deep Learning on Medical Image Analysis. - Jian Wang 109; Hengde Zhu; Shui-Hua Wang; Yu-Dong Zhang 001 (Mob. Networks Appl., 2021)

ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection. - Hengde Zhu; Jian Wang 109; Shui-Hua Wang; Yudong Zhang 001; Juan Manuel Górriz (IWINAC (1), 2022)

Applicable artificial intelligence for brain disease: A survey. - Chenxi Huang 001; Jian Wang 109; Shui-Hua Wang; Yu-Dong Zhang 001 (Neurocomputing, 2022)

Analysis methods of coronary artery intravascular images: A review. - Chenxi Huang 001; Jian Wang 109; Qiang Xie; Yu-Dong Zhang 001 (Neurocomputing, 2022)

Transfer learning for medical images analyses: A survey. - Xiang Yu; Jian Wang 109; Qingqi Hong; Raja Teku; Shui-Hua Wang; Yu-Dong Zhang 001 (Neurocomputing, 2022)

A review on extreme learning machine. - Jian Wang 109; Siyuan Lu 001; Shui-Hua Wang; Yu-Dong Zhang 001 (Multim. Tools Appl., 2022)

An Evolutionary Attention-Based Network for Medical Image Classification. - Hengde Zhu; Jian Wang 109; Shui-Hua Wang; Rajeev Raman; Juan Manuel Górriz; Yudong Zhang 001 (Int. J. Neural Syst., 2023)

Internet of medical things: A systematic review. - Chenxi Huang 001; Jian Wang 109; Shuihua Wang; Yudong Zhang 001 (Neurocomputing, 2023)

Deep learning in pediatric neuroimaging. - Jian Wang 109; Jiaji Wang; Shuihua Wang; Yu-Dong Zhang 001 (Displays, 2023)

RanMerFormer: Randomized vision transformer with token merging for brain tumor classification. - Jian Wang 109; Si-Yuan Lu 001; Shui-Hua Wang; Yu-Dong Zhang 001 (Neurocomputing, 2024)