Estimation of Temporal Gait Parameters Using a Human Body Electrostatic Sensing-Based Method. - Mengxuan Li 001; Pengfei Li; Shanshan Tian; Kai Tang 005; Xi Chen (Sensors, 2018)

Gait Analysis for Post-Stroke Hemiparetic Patient by Multi-Features Fusion Method. - Mengxuan Li 001; Shanshan Tian; Linlin Sun; Xi Chen (Sensors, 2019)

Application of an Improved Correlation Method in Electrostatic Gait Recognition of Hemiparetic Patients. - Shanshan Tian; Mengxuan Li 001; Yifei Wang; Xi Chen (Sensors, 2019)

A Method for Measuring the Height of Hand Movements Based on a Planar Array of Electrostatic Induction Electrodes. - Linyi Zhang; Xi Chen; Pengfei Li; Chuang Wang; Mengxuan Li 001 (Sensors, 2020)

Peripapillary Atrophy Segmentation with Boundary Guidance. - Mengxuan Li 001; He Zhao 002; Jie Xu 010; Huiqi Li (OMIA@MICCAI, 2021)

Peripapillary Atrophy Segmentation Based on ASM Loss. - Mengxuan Li 001; He Zhao 002; Jie Xu 010; Huiqi Li (ISBI, 2022)

Semi-supervised peripapillary atrophy segmentation with shape constraint. - Mengxuan Li 001; Weihang Zhang; Ruixiao Yang; Jie Xu 010; He Zhao 002; Huiqi Li (Comput. Biol. Medicine, 2023)

A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atrophy prediction using sequential fundus images. - Mengxuan Li 001; Weihang Zhang; He Zhao 002; Yubin Xu; Jie Xu 010; Huiqi Li (Appl. Soft Comput., 2024)

Segmentation refinement using active shape constraints for peripapillary atrophy detection. - Mengxuan Li 001; Ruixiao Yang; Hanxiang Li; Weihang Zhang; Jie Xu 010; Huiqi Li (Biomed. Signal Process. Control., 2025)