| Multivariate analysis of full-term neonatal polysomnographic data V Gerla, K Paul, L Lhotska, V Krajca IEEE Transactions on Information Technology in Biomedicine 13 (1), 104-110, 2008 | 48 | 2008 |
| Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation KL Dell, DE Payne, V Kremen, MI Maturana, V Gerla, P Nejedly, ... EClinicalMedicine 37, 2021 | 44 | 2021 |
| Binary social impact theory based optimization and its applications in pattern recognition M Macaš, AP Bhondekar, R Kumar, R Kaur, J Kuzilek, V Gerla, L Lhotská, ... Neurocomputing 132, 85-96, 2014 | 35 | 2014 |
| Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast DE Payne, KL Dell, PJ Karoly, V Kremen, V Gerla, L Kuhlmann, ... Epilepsia 62 (2), 371-382, 2021 | 29 | 2021 |
| Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness V Gerla, V Kremen, N Covassin, L Lhotska, EA Saifutdinova, J Bukartyk, ... Biomedical Signal Processing and Control 31, 381-390, 2017 | 24 | 2017 |
| Multichannel analysis of the newborn EEG data V Gerla, L Lhotska, V Krajca, K Paul IEEE ITAB, 2006 | 24 | 2006 |
| Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering V Gerla, V Kremen, M Macas, D Dudysova, A Mladek, P Sos, L Lhotska Journal of Neuroscience Methods 317 (1), 61-70, 2019 | 23 | 2019 |
| Neonatal EEG sleep stages modelling by temporal profiles V Krajča, S Petránek, J Mohylová, K Paul, V Gerla, L Lhotská Computer Aided Systems Theory–EUROCAST 2007: 11th International Conference …, 2007 | 23 | 2007 |
| Classification of the emotional states based on the EEG signal processing M Macaš, M Vavrecka, V Gerla, L Lhotská 2009 9th International Conference on Information Technology and Applications …, 2009 | 22 | 2009 |
| Automated analysis of long-term eeg signals V Gerla doctor thesis. The Czech Technical University in Prague, 2012 | 21 | 2012 |
| Newborn sleep stage classification using hybrid evolutionary approach V Gerla, M Bursa, L Lhotska, K Paul, V Krajca Int. J. Bioelectromagn 9 (1), 25-26, 2007 | 20 | 2007 |
| An unsupervised multichannel artifact detection method for sleep EEG based on riemannian geometry E Saifutdinova, M Congedo, D Dudysova, L Lhotska, J Koprivova, V Gerla Sensors 19 (3), 602, 2019 | 16 | 2019 |
| PSGLab Matlab toolbox for polysomnographic data processing: Development and practical application V Gerla, V Djordjevic, L Lhotska, V Krajca Proceedings of the 10th IEEE International Conference on Information …, 2010 | 16 | 2010 |
| Prediction of shunt responsiveness in suspected patients with normal pressure hydrocephalus using the lumbar infusion test: a machine learning approach A Mládek, V Gerla, P Skalický, A Vlasák, A Zazay, L Lhotská, V Beneš Sr, ... Neurosurgery 90 (4), 407-418, 2022 | 15 | 2022 |
| Feature extraction and classification of EEG sleep recordings in newborns V Djordjevic, N Reljin, V Gerla, L Lhotska, V Krajca 2009 9th International Conference on Information Technology and Applications …, 2009 | 14 | 2009 |
| P01-Comparison of short-time Fourier transform and continuous wavelet transform for frequency analysis of sleep EEG V Gerla, E Saifutdinova, M Macas, A Mladek, L Lhotska Clinical Neurophysiology 129 (4), e14, 2018 | 13 | 2018 |
| System approach to complex signal processing task V Gerla, V Djordjevic, L Lhotska, V Krajca Computer Aided Systems Theory-EUROCAST 2009: 12th International Conference …, 2009 | 12 | 2009 |
| Boosting phase-contrast MRI performance in idiopathic normal pressure hydrocephalus diagnostics by means of machine learning approach A Vlasák, V Gerla, P Skalický, A Mládek, V Sedlák, J Vrána, H Whitley, ... Neurosurgical Focus 52 (4), E6, 2022 | 10 | 2022 |
| Active learning for semiautomatic sleep staging and transitional eeg segments M Macas, N Grimova, V Gerla, L Lhotska, E Saifutdinova 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 9 | 2018 |
| EEG data mining using PCA L Lhotská, V Krajca, J Mohylová, S Petránek, V Gerla Data Mining and Medical Knowledge Management: Cases and Applications, 161-180, 2009 | 9 | 2009 |
Lenka LhotskaCzech Technical University in PragueVerified email at cvut.cz
