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Oliver Y. Chén
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SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (3 …, 2019
3892019
Joint classification and prediction CNN framework for automatic sleep stage classification
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
IEEE Transactions on Biomedical Engineering 66 (5), 1285-1296, 2018
3642018
Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization
H Cao, OY Chén, Y Chung, JK Forsyth, SC McEwen, DG Gee, ...
Nature communications 9 (1), 3836, 2018
1702018
XSleepNet: Multi-view sequential model for automatic sleep staging
H Phan, OY Chén, MC Tran, P Koch, A Mertins, M De Vos
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5903-5915, 2021
1602021
Improving GANs for speech enhancement
H Phan, IV McLoughlin, L Pham, OY Chén, P Koch, M De Vos, A Mertins
IEEE Signal Processing Letters 27, 1700-1704, 2020
1342020
Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification
H Phan, K Mikkelsen, OY Chén, P Koch, A Mertins, M De Vos
IEEE Transactions on Biomedical Engineering 69 (8), 2456-2467, 2022
1332022
Automatic sleep stage classification using single-channel eeg: Learning sequential features with attention-based recurrent neural networks
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
2018 40th annual international conference of the IEEE engineering in …, 2018
1312018
Towards more accurate automatic sleep staging via deep transfer learning
H Phan, OY Chén, P Koch, Z Lu, I McLoughlin, A Mertins, M De Vos
IEEE Transactions on Biomedical Engineering 68 (6), 1787-1798, 2020
1172020
High-dimensional multivariate mediation with application to neuroimaging data
OY Chén, C Crainiceanu, EL Ogburn, BS Caffo, TD Wager, MA Lindquist
Biostatistics 19 (2), 121-136, 2018
1132018
DNN filter bank improves 1-max pooling CNN for single-channel EEG automatic sleep stage classification
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
2018 40th annual international conference of the IEEE engineering in …, 2018
872018
The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis
JM Reinen, OY Chén, RM Hutchison, BTT Yeo, KM Anderson, ...
Nature Communications 9 (1), 1157, 2018
692018
Resting-state brain information flow predicts cognitive flexibility in humans
OY Chén, H Cao, JM Reinen, T Qian, J Gou, H Phan, M De Vos, ...
Scientific reports 9 (1), 3879, 2019
462019
Personalized automatic sleep staging with single-night data: a pilot study with Kullback–Leibler divergence regularization
H Phan, K Mikkelsen, OY Chén, P Koch, A Mertins, P Kidmose, M De Vos
Physiological measurement 41 (6), 064004, 2020
422020
Building a machine-learning framework to remotely assess Parkinson's disease using smartphones
OY Chén, F Lipsmeier, H Phan, J Prince, KI Taylor, C Gossens, ...
IEEE Transactions on Biomedical Engineering 67 (12), 3491-3500, 2020
392020
Deep transfer learning for single-channel automatic sleep staging with channel mismatch
H Phan, OY Chén, P Koch, A Mertins, M De Vos
2019 27th European signal processing conference (EUSIPCO), 1-5, 2019
372019
Self-attention generative adversarial network for speech enhancement
H Phan, H Le Nguyen, OY Chén, P Koch, NQK Duong, I McLoughlin, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
352021
The biological basis of mathematical beauty
S Zeki, OY Chén, JP Romaya
Frontiers in human neuroscience 12, 467, 2018
332018
Spatio-temporal attention pooling for audio scene classification
H Phan, OY Chén, L Pham, P Koch, M De Vos, I McLoughlin, A Mertins
arXiv preprint arXiv:1904.03543, 2019
312019
Personalized Health Care and Public Health in the Digital Age
OY Chén, B Roberts
Frontiers in Digital Health 3, 595704, 2021
252021
The Bayesian‐Laplacian brain
S Zeki, OY Chén
European Journal of Neuroscience 51 (6), 1441-1462, 2020
252020
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