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Scientific Reports|May 1, 2020
Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomesKirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn babyKirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, et al.Journal of Neural Engineering|January 31, 2018
Automated EEG sleep staging in the term-age baby using a generative modelling approachKirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, et al.Journal of Neural Engineering|May 27, 2020
Neonatal EEG sleep stage classification based on deep learning and HMMHojat Ghimatgar, Kamran Kazemi, Mohammad Sadegh Helfroush, et al.Early Human Development|July 17, 2017
Review of sleep-EEG in preterm and term neonatesAnneleen Dereymaeker, Kirubin Pillay, Jan Vervisch, et al.International Journal of Neural Systems|May 3, 2017
An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain MaturationAnneleen Dereymaeker, Kirubin Pillay, Jan Vervisch, et al.Plos One|July 13, 2023
The PiNe box: Development and validation of an electronic device to time-lock multimodal responses to sensory stimuli in hospitalised infantsAlan Worley, Kirubin Pillay, Maria M Cobo, et al.IEEE Journal of Biomedical and Health Informatics|July 30, 2021
A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG ChannelsAmir H Ansari, Kirubin Pillay, Anneleen Dereymaeker, et al.Journal of Neural Engineering|June 26, 2024
A machine learning artefact detection method for single-channel infant event-related potential studiesSimon Marchant, Marianne van der Vaart, Kirubin Pillay, et al.Journal of Neural Engineering|November 6, 2019
A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infantsAmir H Ansari, Ofelie De Wel, Kirubin Pillay, et al.Pageof 2