Anneleen Dereymaeker

发表

Automated EEG sleep staging in the term-age baby using a generative modelling approach

Sabine Van Huffel, Kirubin Pillay, Anneleen Dereymaeker, 2018, Journal of neural engineering.

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

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2017, Entropy.

NeoGuard: a public, online learning platform for neonatal seizures

Sabine Van Huffel, Maarten De Vos, Anneleen Dereymaeker, 2019 .

Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data

Sabine Van Huffel, Maarten De Vos, Anneleen Dereymaeker, 2018, IEEE Journal of Biomedical and Health Informatics.

Automatic quiet sleep detection based on multifractality in preterm neonates: Effects of maturation

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Monitoring Effective Connectivity in the Preterm Brain: A Graph Approach to Study Maturation

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2017, Complex..

Data-driven method for tracking early EEG maturation

Sabine Van Huffel, Maarten De Vos, Sampsa Vanhatalo, 2015 .

An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation

Sabine Van Huffel, Maarten De Vos, Kirubin Pillay, 2017, Int. J. Neural Syst..

Data-driven metric representing the maturation of preterm EEG

Sabine Van Huffel, Maarten De Vos, Okko Johannes Räsänen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby

Maarten De Vos, Kirubin Pillay, Anneleen Dereymaeker, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants

Sabine Van Huffel, Maarten De Vos, Kirubin Pillay, 2020, Journal of neural engineering.

Neonatal EEG sleep stage classification based on deep learning and HMM

Marina De Vos, Hojat Ghimatgar, Kamran Kazemi, 2020, Journal of neural engineering.

Automated Respiration Detection from Neonatal Video Data

Sabine Van Huffel, Maarten De Vos, Bart Vanrumste, 2015, ICPRAM.

Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2014, ICPRAM.

Interrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: The Neoguard EEG database

Sabine Van Huffel, Maarten De Vos, Vladimir Matic, 2017, Clinical Neurophysiology.

Linear and nonlinear functional connectivity methods to predict brain maturation in preterm babies

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2016 .

Review of sleep-EEG in preterm and term neonates.

Sabine Van Huffel, Kirubin Pillay, Anneleen Dereymaeker, 2017, Early human development.

Interhemispheric synchrony in the neonatal EEG revisited: activation synchrony index as a promising classifier

Sabine Van Huffel, Sampsa Vanhatalo, Okko Räsänen, 2014, Front. Hum. Neurosci..

Quiet sleep detection in preterm infants using deep convolutional neural networks

Sabine Van Huffel, Anneleen Dereymaeker, Katrien Jansen, 2018, Journal of neural engineering.