Rongdan Zeng

CTGNet: Automatic Analysis of Fetal Heart Rate from Cardiotocograph Using Artificial Intelligence

Yaosheng Lu, Jieyun Bai, Mei Zhong, 2022 .

Multitask Deep Neural Network for the Fully Automatic Measurement of the Angle of Progression

Yaosheng Lu, Jieyun Bai, Fan Lai, 2022, Computational and mathematical methods in medicine.

Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

Jieyun Bai, Yaosheng Lu, Rongdan Zeng, 2021, Comput. Biol. Medicine.

Automated fetal heart rate analysis for baseline determination using EMAU-Net

Jia Liu, Yaosheng Lu, Jieyun Bai, 2023, Information Sciences.

A deep feature fusion network for fetal state assessment

Yaosheng Lu, Jieyun Bai, Mujun Liu, 2022, Frontiers in Physiology.

Imputation Method for Fetal Heart Rate Signal Evaluation Based on Optimal Transport Theory

Yaosheng Lu, Rongdan Zeng, Chuan Wang, 2021, SN Computer Science.

Baseline/acceleration/deceleration determination of fetal heart rate signals using a novel ensemble LCResU-Net

Jia Liu, Yaosheng Lu, Jieyun Bai, 2023, Expert Syst. Appl..

Prediction of Delivery Mode from Fetal Heart Rate and Electronic Medical Records Using Machine Learning

Yaosheng Lu, Jieyun Bai, Hao Yi, 2022, 2022 Computing in Cardiology (CinC).