Gunnar Naulaers

Orcid: 0000-0003-0735-4808

According to our database1, Gunnar Naulaers authored at least 24 papers between 2002 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels.
IEEE J. Biomed. Health Informatics, 2022

2019
Neonatal Seizure Detection Using Deep Convolutional Neural Networks.
Int. J. Neural Syst., 2019

Decomposition of a Multiscale Entropy Tensor for Sleep Stage Identification in Preterm Infants.
Entropy, 2019

The implementation of an apnea-based perinatal stress calculator.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Monitoring of Brain Hemodynamics Coupling in Neonates using Updated Tensor Decompositions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data.
IEEE J. Biomed. Health Informatics, 2018

Using Graph Theory to Assess the Interaction between Cerebral Function, Brain Hemodynamics, and Systemic Variables in Premature Infants.
Complex., 2018

A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation.
Int. J. Neural Syst., 2017

Complexity Analysis of Neonatal EEG Using Multiscale Entropy: Applications in Brain Maturation and Sleep Stage Classification.
Entropy, 2017

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation.
Complex., 2017

Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Improved neonatal seizure detection using adaptive learning.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants.
IEEE Trans. Biomed. Eng., 2016

2015
Automated Respiration Detection from Neonatal Video Data.
Proceedings of the ICPRAM 2015, 2015

Data-driven metric representing the maturation of preterm EEG.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improvement of an automated neonatal seizure detector using a post-processing technique.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain.
Proceedings of the ICPRAM 2014, 2014

Differences in the cerebral hemodynamics regulation mechanisms of premature infants with intra-ventricular hemorrhage assessed by means of phase rectified signal averaging.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Preprocessing by means of subspace projections for continuous Cerebral Autoregulation assessment using NIRS.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Automatic Burst Detection based on Line Length in the Premature EEG.
Proceedings of the BIOSIGNALS 2013, 2013

2012
Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2002
Prediction of mental development of preterm newborns at birth time using LS-SVM.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002


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