| Review of sleep-EEG in preterm and term neonates A Dereymaeker, K Pillay, J Vervisch, M De Vos, S Van Huffel, K Jansen, ... Early human development 113, 87-103, 2017 | 137 | 2017 |
| Automated EEG sleep staging in the term-age baby using a generative modelling approach K Pillay, A Dereymaeker, K Jansen, G Naulaers, S Van Huffel, M De Vos Journal of neural engineering 15 (3), 036004, 2018 | 73 | 2018 |
| An automated quiet sleep detection approach in preterm infants as a gateway to assess brain maturation A Dereymaeker, K Pillay, J Vervisch, S Van Huffel, G Naulaers, K Jansen, ... International journal of neural systems 27 (06), 1750023, 2017 | 72 | 2017 |
| A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants AH Ansari, O De Wel, K Pillay, A Dereymaeker, K Jansen, S Van Huffel, ... Journal of Neural Engineering 17 (1), 016028, 2020 | 51 | 2020 |
| Neonatal EEG sleep stage classification based on deep learning and HMM H Ghimatgar, K Kazemi, MS Helfroush, K Pillay, A Dereymaker, K Jansen, ... Journal of neural engineering 17 (3), 036031, 2020 | 38 | 2020 |
| Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes K Pillay, A Dereymaeker, K Jansen, G Naulaers, M De Vos Scientific reports 10 (1), 7288, 2020 | 30 | 2020 |
| The impact of premature extrauterine exposure on infants’ stimulus-evoked brain activity across multiple sensory systems GS Mellado, K Pillay, E Adams, A Alarcon, F Andritsou, MM Cobo, RE Fry, ... NeuroImage: Clinical 33, 102914, 2022 | 21 | 2022 |
| A deep shared multi-scale inception network enables accurate neonatal quiet sleep detection with limited EEG channels AH Ansari, K Pillay, A Dereymaeker, K Jansen, S Van Huffel, G Naulaers, ... IEEE Journal of Biomedical and Health Informatics 26 (3), 1023-1033, 2021 | 17 | 2021 |
| Functional brain maturation and sleep organisation in neonates with congenital heart disease T Hermans, L Thewissen, M Gewillig, B Cools, K Jansen, K Pillay, ... European Journal of Paediatric Neurology 36, 115-122, 2022 | 2 | 2022 |
| A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age K Pillay, M De Vos arXiv preprint arXiv:1809.07102, 2018 | 2 | 2018 |
| A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby K Pillay, A Dereymaeker, K Jansen, G Naulaers, M De Vos 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 2 | 2018 |
| Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome A Ansari, KP Conceptualisation, E Arasteh, A Dereymaeker, GS Mellado, ... Clinical Neurophysiology, 2024 | 1 | 2024 |
| The PiNe box: Development and validation of an electronic device to time-lock multimodal responses to sensory stimuli in hospitalised infants A Worley, K Pillay, MM Cobo, GS Mellado, M van der Vaart, A Bhatt, ... Plos one 18 (7), e0288488, 2023 | 1 | 2023 |
| Brain age as an estimator of neurodevelopmental outcome: A deep learning approach for neonatal cot-side monitoring A Ansari, K Pillay, L Baxter, E Arasteh, A Dereymaeker, GS Mellado, ... bioRxiv, 2023.01. 24.525361, 2023 | 1 | 2023 |
| Quantifying brain maturation in the preterm baby from EEG sleep analyses K Pillay University of Oxford, 2018 | 1 | 2018 |
Maarten De VosESAT - Stadius & Department of Development and Regeneration, KU Leuven, BelgiumVerified email at kuleuven.be
