| Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines T Lajnef, S Chaibi, P Ruby, PE Aguera, JB Eichenlaub, M Samet, ... Journal of neuroscience methods 250, 94-105, 2015 | 372 | 2015 |
| Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis T Lajnef, S Chaibi, JB Eichenlaub, PM Ruby, PE Aguera, M Samet, ... Frontiers in human neuroscience 9, 414, 2015 | 75 | 2015 |
| Visbrain: a multi-purpose GPU-accelerated open-source suite for multimodal brain data visualization E Combrisson, R Vallat, C O'Reilly, M Jas, A Pascarella, A Saive, T Thiery, ... Frontiers in Neuroinformatics 13, 14, 2019 | 63 | 2019 |
| Increased evoked potentials to arousing auditory stimuli during sleep: implication for the understanding of dream recall R Vallat, T Lajnef, JB Eichenlaub, C Berthomier, K Jerbi, D Morlet, ... Frontiers in Human Neuroscience 11, 259420, 2017 | 58 | 2017 |
| Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods C Mahjoub, R Le Bouquin Jeannès, T Lajnef, A Kachouri Biomedical Engineering/Biomedizinische Technik 65 (1), 33-50, 2020 | 52 | 2020 |
| Sleep: an open-source python software for visualization, analysis, and staging of sleep data E Combrisson, R Vallat, JB Eichenlaub, C O'Reilly, T Lajnef, A Guillot, ... Frontiers in neuroinformatics 11, 292274, 2017 | 52 | 2017 |
| Automated detection and classification of high frequency oscillations (HFOs) in human intracereberal EEG S Chaibi, Z Sakka, T Lajnef, M Samet, A Kachouri Biomedical Signal Processing and Control 8 (6), 927-934, 2013 | 47 | 2013 |
| A reliable approach to distinguish between transient with and without HFOs using TQWT and MCA S Chaibi, T Lajnef, Z Sakka, M Samet, A Kachouri Journal of neuroscience methods 232, 36-46, 2014 | 37 | 2014 |
| NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines D Meunier, A Pascarella, D Altukhov, M Jas, E Combrisson, T Lajnef, ... NeuroImage 219, 117020, 2020 | 35 | 2020 |
| A comparaison of methods for detection of high frequency oscillations (HFOs) in human intacerberal EEG recordings S Chaibi, T Lajnef, Z Sakka, M Samet, A Kachouri American Journal of Signal Processing 3 (2), 25-34, 2013 | 33 | 2013 |
| Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach IS Knoth, T Lajnef, S Rigoulot, K Lacourse, P Vannasing, JL Michaud, ... Journal of neurodevelopmental disorders 10, 1-13, 2018 | 30 | 2018 |
| Long-range temporal correlations in the brain distinguish conscious wakefulness from induced unconsciousness T Thiery, T Lajnef, E Combrisson, A Dehgan, P Rainville, GA Mashour, ... Neuroimage 179, 30-39, 2018 | 29 | 2018 |
| Meet spinky: an open-source spindle and K-complex detection toolbox validated on the open-access montreal archive of sleep studies (MASS) T Lajnef, C O’Reilly, E Combrisson, S Chaibi, JB Eichenlaub, PM Ruby, ... Frontiers in neuroinformatics 11, 15, 2017 | 27 | 2017 |
| Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG ASH Casas, T Lajnef, A Pascarella, H Guiraud-Vinatea, H Laaksonen, ... Neuroimage 244, 118577, 2021 | 19 | 2021 |
| Decoding the locus of covert visuospatial attention from EEG signals T Thiery, T Lajnef, K Jerbi, M Arguin, M Aubin, P Jolicoeur PloS one 11 (8), e0160304, 2016 | 19 | 2016 |
| Detection of High Frequency Oscillations (HFOs) in the 80–500 Hz range in epilepsy recordings using decision tree analysis S Chaibi, T Lajnef, M Samet, K Jerbi, A Kachouri International image processing, applications and systems conference, 1-6, 2014 | 19 | 2014 |
| Altered brain criticality in schizophrenia: new insights from magnetoencephalography G Alamian, T Lajnef, A Pascarella, JM Lina, L Knight, J Walters, KD Singh, ... Frontiers in Neural Circuits 16, 630621, 2022 | 18 | 2022 |
| A robustness comparison of two algorithms used for EEG spike detection S Chaibi, T Lajnef, A Ghrob, M Samet, A Kachouri The open biomedical engineering journal 9, 151, 2015 | 18 | 2015 |
| Developement of Matlab-based Graphical User Interface (GUI) for detection of high frequency oscillations (HFOs) in epileptic patients S Chaibi, R Bouet, J Jung, T Lajnef, M Samet, O Bertrand, A Kachouri, ... 2012 IEEE International Conference on Emerging Signal Processing …, 2012 | 16 | 2012 |
| Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia G Alamian, A Pascarella, T Lajnef, L Knight, J Walters, KD Singh, K Jerbi NeuroImage: Clinical 28, 102485, 2020 | 14 | 2020 |
Karim Jerbi, PhDComputational and Cognitive Neuroscience Lab (CoCo Lab), University of Montreal, QC, CanadaVerified email at umontreal.ca
