Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier. - Rongdan Zeng; Yaosheng Lu; Shun Long; Chuan Wang; Jieyun Bai (Comput. Biol. Medicine, 2021)

Corrigendum to "Cardiotocography signal abnormality classification using time-frequency features and ensemble cost-sensitive SVM classifier" [Comput. Biol. Med. 130 (2021) 104218]. - Rongdan Zeng; Yaosheng Lu; Shun Long; Chuan Wang; Jieyun Bai (Comput. Biol. Medicine, 2021)

Imputation Method for Fetal Heart Rate Signal Evaluation Based on Optimal Transport Theory. - Chuan Wang; Shun Long; Rongdan Zeng; Yaosheng Lu (SN Comput. Sci., 2021)

Prediction of Delivery Mode from Fetal Heart Rate and Electronic Medical Records Using Machine Learning. - Xue Kang; Rongdan Zeng; Hao Yi; Chuan Wang; Mujun Liu; Zheng Zheng; Yaosheng Lu; Huijin Wang; Jieyun Bai (CinC, 2022)

Baseline/acceleration/deceleration determination of fetal heart rate signals using a novel ensemble LCResU-Net. - Mujun Liu; Rongdan Zeng; Yahui Xiao; Jieyun Bai; Jia Liu; Zheng Zheng; Yaosheng Lu (Expert Syst. Appl., 2023)

The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data. - Mengqiang Zhou; Chuan Wang; Yaosheng Lu; Ruiyu Qiu; Rongdan Zeng; Dengjiang Zhi; Xiaosong Jiang; Zhanhong Ou; Huijin Wang; Gaowen Chen; Jieyun Bai (Medical Biol. Eng. Comput., 2023)

Automated fetal heart rate analysis for baseline determination using EMAU-Net. - Mujun Liu; Rongdan Zeng; Yahui Xiao; Yaosheng Lu; Yi Wu; Shun Long; Jia Liu; Zheng Zheng; Huijin Wang; Jieyun Bai (Inf. Sci., 2023)

A multimodal dual-branch fusion network for fetal hypoxia detection. - Mujun Liu; Yahui Xiao; Rongdan Zeng; Zhe Wu; Yu Liu; Hongfei Li (Expert Syst. Appl., 2025)