Login / Signup
Huijin Wang
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 8
Top Topics
Ultrasound Images
Denoising
Heart Rate
Medical Records
Top Venues
Biomed. Signal Process. Control.
IEEE Trans. Instrum. Meas.
Appl. Intell.
Comput. Biol. Medicine
</>
Publications
</>
Zhanhong Ou
,
Jieyun Bai
,
Zhide Chen
,
Yaosheng Lu
,
Huijin Wang
,
Shun Long
,
Gaowen Chen
RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images.
Comput. Biol. Medicine
175 (2024)
Qingjian Wu
,
Yaosheng Lu
,
Xue Kang
,
Huijin Wang
,
Zheng Zheng
,
Jieyun Bai
ETCNN: An ensemble transformer-convolutional neural network for automatic analysis of fetal heart rate.
Biomed. Signal Process. Control.
96 (2024)
Mengqiang Zhou
,
Chuan Wang
,
Yaosheng Lu
,
Ruiyu Qiu
,
Rongdan Zeng
,
Dengjiang Zhi
,
Xiaosong Jiang
,
Zhanhong Ou
,
Huijin Wang
,
Gaowen Chen
,
Jieyun Bai
The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data.
Medical Biol. Eng. Comput.
61 (5) (2023)
Mujun Liu
,
Rongdan Zeng
,
Yahui Xiao
,
Yaosheng Lu
,
Yi Wu
,
Shun Long
,
Jia Liu
,
Zheng Zheng
,
Huijin Wang
,
Jieyun Bai
Automated fetal heart rate analysis for baseline determination using EMAU-Net.
Inf. Sci.
644 (2023)
Xue Kang
,
Rongdan Zeng
,
Hao Yi
,
Chuan Wang
,
Mujun Liu
,
Zheng Zheng
,
Yaosheng Lu
,
Huijin Wang
,
Jieyun Bai
Prediction of Delivery Mode from Fetal Heart Rate and Electronic Medical Records Using Machine Learning.
CinC
(2022)
Zhongmei Han
,
Qionghao Huang
,
Jie Zhang
,
Changqin Huang
,
Huijin Wang
,
Xiaodi Huang
GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network.
Appl. Intell.
52 (11) (2022)
Guanglong Du
,
Huijin Wang
,
Kang Su
,
Xueqian Wang
,
Shaohua Teng
,
Peter X. Liu
Non-Interference Driving Fatigue Detection System Based on Intelligent Steering Wheel.
IEEE Trans. Instrum. Meas.
71 (2022)
Huijin Wang
,
Hongxia Liu
,
Yechun Zeng
An image denoising method based on depth learning.
WAC
(2022)