Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes von Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Naulaers, Gunnar, De Vos, Maarten

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The impact of premature extrauterine exposure on infants’ stimulus-evoked brain activity across multiple sensory systems von Schmidt Mellado, Gabriela, Pillay, Kirubin, Adams, Eleri, Alarcon, Ana, Andritsou, Foteini, Cobo, Maria M., Evans Fry, Ria, Fitzgibbon, Sean, Moultrie, Fiona, Baxter, Luke, Slater, Rebeccah

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Automated EEG sleep staging in the term-age baby using a generative modelling approach von Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Naulaers, Gunnar, Van Huffel, Sabine, De Vos, Maarten

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A machine learning artefact detection method for single-channel infant event-related potential studies von Marchant, Simon, van der Vaart, Marianne, Pillay, Kirubin, Baxter, Luke, Bhatt, Aomesh, Fitzgibbon, Sean, Hartley, Caroline, Slater, Rebeccah

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A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels von Ansari, Amir H., Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Van Huffel, Sabine, Naulaers, Gunnar, De Vos, Maarten

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A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants von Ansari, Amir H, De Wel, Ofelie, Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Van Huffel, Sabine, Naulaers, Gunnar, De Vos, Maarten

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An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation von Dereymaeker, Anneleen, Pillay, Kirubin, Vervisch, Jan, Van Huffel, Sabine, Naulaers, Gunnar, Jansen, Katrien, De Vos, Maarten

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The PiNe box: Development and validation of an electronic device to time-lock multimodal responses to sensory stimuli in hospitalised infants von Worley, Alan, Pillay, Kirubin, Cobo, Maria M, Mellado, Gabriela Schmidt, van der Vaart, Marianne, Bhatt, Aomesh, Hartley, Caroline

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Neonatal EEG sleep stage classification based on deep learning and HMM von Ghimatgar, Hojat, Kazemi, Kamran, Helfroush, Mohammad Sadegh, Pillay, Kirubin, Dereymaker, Anneleen, Jansen, Katrien, Vos, Maarten De, Aarabi, Ardalan

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Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome von Ansari, Amir, Pillay, Kirubin, Arasteh, Emad, Dereymaeker, Anneleen, Mellado, Gabriela Schmidt, Jansen, Katrien, Winkler, Anderson M, Naulaers, Gunnar, Bhatt, Aomesh, Huffel, Sabine Van, Hartley, Caroline, Vos, Maarten De, Slater, Rebeccah, Baxter, Luke

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Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome von Ansari, Amir, Pillay, Kirubin, Arasteh, Emad, Dereymaeker, Anneleen, Mellado, Gabriela Schmidt, Jansen, Katrien, Winkler, Anderson M, Naulaers, Gunnar, Bhatt, Aomesh, Van Huffel, Sabine, Hartley, Caroline, De Vos, Maarten, Slater, Rebeccah, Baxter, Luke

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Resting state electroencephalographic brain activity in neonates can predict age and is indicative of neurodevelopmental outcome von Ansari, Amir, Pillay, Kirubin, Arasteh, Emad, Dereymaeker, Anneleen, Mellado, Gabriela Schmidt, Jansen, Katrien, Winkler, Anderson M., Naulaers, Gunnar, Bhatt, Aomesh, Huffel, Sabine Van, Hartley, Caroline, Vos, Maarten De, Slater, Rebeccah, Baxter, Luke

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A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels von Ansari, Amir H, Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Van Huffel, Sabine, Naulaers, Gunnar, De Vos, Maarten

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Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes von Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Naulaers, Gunnar, De Vos, Maarten

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Review of sleep-EEG in preterm and term neonates von Dereymaeker, Anneleen, Pillay, Kirubin, Vervisch, Jan, De Vos, Maarten, Van Huffel, Sabine, Jansen, Katrien, Naulaers, Gunnar

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Establishing a standardised approach for the measurement of neonatal noxious-evoked brain activity in response to an acute somatic nociceptive heel lance stimulus von Aspbury, Marianne, Mansfield, Roshni C., Baxter, Luke, Bhatt, Aomesh, Cobo, Maria M., Fitzgibbon, Sean P., Hartley, Caroline, Hauck, Annalisa, Marchant, Simon, Monk, Vaneesha, Pillay, Kirubin, Poorun, Ravi, van der Vaart, Marianne, Slater, Rebeccah

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Functional brain maturation and sleep organisation in neonates with congenital heart disease von Hermans, Tim, Thewissen, Liesbeth, Gewillig, Marc, Cools, Bjorn, Jansen, Katrien, Pillay, Kirubin, De Vos, Maarten, Van Huffel, Sabine, Naulaers, Gunnar, Dereymaeker, Anneleen

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Neonatal EEG sleep stage classification based on deep learning and HMM von Ghimatgar, Hojat, Kazemi, Kamran, Helfroush, Mohammad Sadegh, Pillay, Kirubin, Dereymaker, Anneleen, Jansen, Katrien, De Vos, Maarten, Aarabi, Ardalan

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A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants von Ansari, Amir H, De Wel, Ofelie, Pillay, Kirubin, Dereymaeker, Anneleen, Jansen, Katrien, Van Huffel, Sabine, Naulaers, Gunnar, De Vos, Maarten

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Functional brain maturation and sleep organisation in neonates with congenital heart disease von Hermans, Tim, Thewissen, Liesbeth, Gewillig, Marc, Cools, Bjorn, Jansen, Katrien, Pillay, Kirubin, De Vos, Maarten, Van Huffel, Sabine, Naulaers, Gunnar, Dereymaeker, Anneleen

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