A quantitative biomechanical study for precise orthopedic intervention in idiopathic scoliosis. - Ruliang Feng; Huiren Tao; Canhua Ye; Guanglin Li 001; Xueling Bai; Lin Wang 041 (RCAR, 2022)

A Deep-Learning-Based Method for Gaining More Biomechanical Parameters with Fewer Sensors in Fast and Complex Movements. - Ye Wang; Gongbing Shan; Hua Li; Ruliang Feng; Yilan Zhang; Guanglin Li 001; Lin Wang 041 (RCAR, 2022)

Integration of multiscale fusion of residual neural network with 2-D gramian angular fields for lower limb movement recognition based on multi-channel sEMG signals. - Hao Zhou; Ruliang Feng; Yinghu Peng; Dingxun Jin; Xiaohui Li; Dahua Shou; Guanglin Li 001; Lin Wang 041 (Biomed. Signal Process. Control., 2025)