Başlık Tarih
Kemal Polat 19.06.2018
İlter Yenidede 19.06.2018
Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment 6.06.2018
Open-access software for analysis of fetal heart rate signals 6.06.2018
Shahad Al-Yousif 22.05.2018
Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach 16.05.2018
What is CTG-OAS 27.01.2018
Agnese Sbrollini 27.01.2018
Laura Burattini 10.01.2018
Manivanna Boopathi Arumugam 3.01.2018
Subha Velappan 2.01.2018
A Diagnostic Model for Identification of Myocardial Infarction from Electrocardiography Signals 26.12.2017
A Study of Artificial Neural Network Training Algorithms for Classification of Cardiotocography Signals 26.12.2017
Join Us 9.11.2017
A novel software for comprehensive analysis of cardiotocography signals “CTG-OAS” 7.11.2017
ctgPlotNst 30.10.2017
Fetal State Assessment Based on Cardiotocography Parameters Using PCA and AdaBoost 20.10.2017
Comparison of Machine Learning Techniques for Fetal Heart Rate Classification 14.10.2017
Sami Güngör 4.07.2017
Using wavelet transform for cardiotocography signals classification 4.07.2017
Cardiotocography analysis based on segmentation-based fractal texture decomposition and extreme learning machine 4.07.2017
Zhang Yang 20.06.2017
A Study Based on Gray Level Co-Occurrence Matrix and Neural Network Community for Determination of Hypoxic Fetuses 3.06.2017
Adnan Fatih KOCAMAZ 1.06.2017
Zafer CÖMERT 1.06.2017
Cardiotocography Signals with Artificial Neural Network and Extreme Learning Machine 1.06.2017
What is Cardiotocography 31.05.2017
Evaluation of Fetal Distress Diagnosis during Delivery Stages based on Linear and Nonlinear Features of Fetal Heart Rate for Neural Network Community 28.05.2017
Researchers 28.05.2017
Detection of Acceleration and Deceleration Patterns of Fetal Heart Rate Signal 28.05.2017
About us 28.05.2017
An Open Access Software for Cardiotocography Analysis 26.05.2017

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