Boost ensemble learning for classification of CTG SIGNALS
M Ajirak, C Heiselman, JG Quirk… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
During the process of childbirth, fetal distress caused by hypoxia can lead to various
abnormalities. Cardiotocography (CTG), which consists of continuous recording of the fetal …
abnormalities. Cardiotocography (CTG), which consists of continuous recording of the fetal …
Unsupervised clustering and analysis of contraction-dependent fetal heart rate segments
L Yang, C Heiselman, JG Quirk… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
The computer-aided interpretation of fetal heart rate (FHR) and uterine contraction (UC) has
not been developed well enough for wide use in delivery rooms. The main challenges still …
not been developed well enough for wide use in delivery rooms. The main challenges still …
Cardiotocography signal abnormality detection based on deep semi-unsupervised learning
Cardiotocography (CTG) plays a vital role in fetal well-being monitoring by tracking fetal
heart rate (FHR) and uterine contractions (UC). However, CTG interpretation suffers from …
heart rate (FHR) and uterine contractions (UC). However, CTG interpretation suffers from …
Cardiotocography signal abnormality detection based on deep unsupervised models
Cardiotocography (CTG) is a key element when it comes to monitoring fetal well-being.
Obstetricians use it to observe the fetal heart rate (FHR) and the uterine contraction (UC) …
Obstetricians use it to observe the fetal heart rate (FHR) and the uterine contraction (UC) …
Uncertainty Quantification of Deep Generative Models Based on Gaussian Processes for Heterogeneous Incomplete Data
M Ajirak - 2023 - search.proquest.com
This dissertation focuses on the theoretical aspects of machine learning based on Gaussian
processes (GPs), aiming to tackle fundamental challenges related to the trustworthiness of …
processes (GPs), aiming to tackle fundamental challenges related to the trustworthiness of …