Deep learning for epileptic intracranial EEG data A Antoniades, L Spyrou, CC Took, S Sanei 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 106 | 2016 |
Combined EEG-fNIRS decoding of motor attempt and imagery for brain switch control: an offline study in patients with tetraplegia Y Blokland, L Spyrou, D Thijssen, T Eijsvogels, W Colier, ... IEEE transactions on neural systems and rehabilitation engineering 22 (2 …, 2013 | 76 | 2013 |
Deep neural architectures for mapping scalp to intracranial EEG A Antoniades, L Spyrou, D Martin-Lopez, A Valentin, G Alarcon, S Sanei, ... International journal of neural systems 28 (08), 1850009, 2018 | 71 | 2018 |
Detection of interictal discharges with convolutional neural networks using discrete ordered multichannel intracranial EEG A Antoniades, L Spyrou, D Martin-Lopez, A Valentin, G Alarcon, S Sanei, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (12 …, 2017 | 62 | 2017 |
Evaluation of matrix factorisation approaches for muscle synergy extraction A Ebied, E Kinney-Lang, L Spyrou, J Escudero Medical engineering & physics 57, 51-60, 2018 | 36 | 2018 |
Source localization of event-related potentials incorporating spatial notch filters L Spyrou, S Sanei IEEE Transactions on Biomedical Engineering 55 (9), 2232-2239, 2008 | 30 | 2008 |
Detection of intracranial signatures of interictal epileptiform discharges from concurrent scalp EEG L Spyrou, D Martín-Lopez, A Valentín, G Alarcón, S Sanei International journal of neural systems 26 (04), 1650016, 2016 | 28 | 2016 |
Separation and localisation of P300 sources and their subcomponents using constrained blind source separation L Spyrou, M Jing, S Sanei, A Sumich EURASIP Journal on Advances in signal Processing 2007, 1-10, 2006 | 26 | 2006 |
Multiview classification and dimensionality reduction of scalp and intracranial EEG data through tensor factorisation L Spyrou, S Kouchaki, S Sanei Journal of Signal Processing Systems 90 (2), 273-284, 2018 | 18 | 2018 |
Detection of attempted movement from the EEG during neuromuscular block: proof of principle study in awake volunteers Y Blokland, L Spyrou, J Lerou, J Mourisse, G Jan Scheffer, GJ Geffen, ... Scientific reports 5 (1), 1-10, 2015 | 16 | 2015 |
Tensor-driven extraction of developmental features from varying paediatric EEG datasets E Kinney-Lang, L Spyrou, A Ebied, RFM Chin, J Escudero Journal of Neural Engineering 15 (4), 046024, 2018 | 14 | 2018 |
Muscle activity analysis using higher-order tensor decomposition: Application to muscle synergy extraction A Ebied, E Kinney-Lang, L Spyrou, J Escudero IEEE Access 7, 27257-27271, 2019 | 13 | 2019 |
Multiview classification of brain data through tensor factorisation L Spyrou, S Kouchaki, S Sanei 2015 IEEE 25th international workshop on Machine Learning for Signal …, 2015 | 12 | 2015 |
Complex tensor factorization with PARAFAC2 for the estimation of brain connectivity from the EEG L Spyrou, M Parra, J Escudero IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (1), 1-12, 2018 | 11 | 2018 |
A regularised EEG informed Kalman filtering algorithm S Enshaeifar, L Spyrou, S Sanei, CC Took Biomedical Signal Processing and Control 25, 196-200, 2016 | 10 | 2016 |
Decoding of single-trial auditory mismatch responses for online perceptual monitoring and neurofeedback A Brandmeyer, M Sadakata, L Spyrou, JM McQueen, P Desain Frontiers in neuroscience 7, 265, 2013 | 10 | 2013 |
On the use of higher-order tensors to model muscle synergies A Ebied, L Spyrou, E Kinney-Lang, J Escudero 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 9 | 2017 |
Estimation and location tracking of the P300 subcomponents from single-trial EEG L Spyrou, S Sanei, CC Took 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 9 | 2007 |
Graph-variate signal analysis K Smith, L Spyrou, J Escudero IEEE Transactions on Signal Processing 67 (2), 293-305, 2018 | 8 | 2018 |
Decoding motor responses from the EEG during altered states of consciousness induced by propofol Y Blokland, J Farquhar, J Lerou, J Mourisse, GJ Scheffer, GJ van Geffen, ... Journal of Neural Engineering 13 (2), 026014, 2016 | 8 | 2016 |