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Petr Nejedly

Showing results (1-10 of 25) with videos related to

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Physiological Measurement|August 14, 2018
Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECGFilip Plesinger, Petr Nejedly, Ivo Viscor, et al.
Journal of Neural Engineering|June 9, 2025
The class imbalance problem in automatic localization of the epileptogenic zone for epilepsy surgery: a systematic reviewValentina Hrtonova, Kassem Jaber, Petr Nejedly, et al.
Physiological Measurement|April 5, 2022
Classification of ECG using ensemble of residual CNNs with or without attention mechanismPetr Nejedly, Adam Ivora, Ivo Viscor, et al.
Scientific Reports|July 25, 2022
QRS detection and classification in Holter ECG data in one inference stepAdam Ivora, Ivo Viscor, Petr Nejedly, et al.
Ebiomedicine|July 5, 2022
Hotspot of human verbal memory encoding in the left anterior prefrontal cortexÇağdaş Topçu, Victoria S Marks, Krishnakant V Saboo, et al.
Journal of Neural Engineering|April 9, 2019
Deep-learning for seizure forecasting in canines with epilepsyPetr Nejedly, Vaclav Kremen, Vladimir Sladky, et al.
Scientific Reports|January 13, 2023
Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classificationPetr Nejedly, Vaclav Kremen, Kamila Lepkova, et al.
Neuroimage|October 13, 2021
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formationVictoria S Marks, Krishnakant V Saboo, Çağdaş Topçu, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|August 30, 2019
Multi-feature localization of epileptic foci from interictal, intracranial EEGJan Cimbalnik, Petr Klimes, Vladimir Sladky, et al.
Neuroinformatics|August 15, 2018
Intracerebral EEG Artifact Identification Using Convolutional Neural NetworksPetr Nejedly, Jan Cimbalnik, Petr Klimes, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Physiological Measurement|August 14, 2018
Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECGFilip Plesinger, Petr Nejedly, Ivo Viscor, et al.
Journal of Neural Engineering|June 9, 2025
The class imbalance problem in automatic localization of the epileptogenic zone for epilepsy surgery: a systematic reviewValentina Hrtonova, Kassem Jaber, Petr Nejedly, et al.
Physiological Measurement|April 5, 2022
Classification of ECG using ensemble of residual CNNs with or without attention mechanismPetr Nejedly, Adam Ivora, Ivo Viscor, et al.
Scientific Reports|July 25, 2022
QRS detection and classification in Holter ECG data in one inference stepAdam Ivora, Ivo Viscor, Petr Nejedly, et al.
Ebiomedicine|July 5, 2022
Hotspot of human verbal memory encoding in the left anterior prefrontal cortexÇağdaş Topçu, Victoria S Marks, Krishnakant V Saboo, et al.
Journal of Neural Engineering|April 9, 2019
Deep-learning for seizure forecasting in canines with epilepsyPetr Nejedly, Vaclav Kremen, Vladimir Sladky, et al.
Scientific Reports|January 13, 2023
Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classificationPetr Nejedly, Vaclav Kremen, Kamila Lepkova, et al.
Neuroimage|October 13, 2021
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formationVictoria S Marks, Krishnakant V Saboo, Çağdaş Topçu, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|August 30, 2019
Multi-feature localization of epileptic foci from interictal, intracranial EEGJan Cimbalnik, Petr Klimes, Vladimir Sladky, et al.
Neuroinformatics|August 15, 2018
Intracerebral EEG Artifact Identification Using Convolutional Neural NetworksPetr Nejedly, Jan Cimbalnik, Petr Klimes, et al.
Pageof 3