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An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard

Clinical neurophysiology, 2020-06, Vol.131 (6), p.1174-1179

2020

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Automated Long-Term EEG Review: Fast and Precise Analysis in Critical Care Patients

Frontiers in neurology, 2018-06, Vol.9, p.454-454

2018

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Idiopathic generalized epilepsies in the epilepsy monitoring unit: Systematic quantification of focal EEG and semiological signs

Clinical neurophysiology, 2024-06, Vol.162, p.82-90

2024

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DICOM® integrated EEG data: A first clinical implementation of the new DICOM standard for neurophysiology data

Clinical neurophysiology, 2023-11, Vol.155, p.107-112

2023

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Relational local electroencephalography representations for sleep scoring

Neural networks, 2022-10, Vol.154, p.310-322

2022

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Seizure detection with deep neural networks for review of two-channel electroencephalogram

Epilepsia (Copenhagen), 2023-12, Vol.64 Suppl 4 (S4), p.S34-S39

2023

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Deep learning-based classification for brain-computer interfaces

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, p.234-239

2017

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T58. Automatic seizure detection based on multimodal signal quantification

Clinical neurophysiology, 2018-05, Vol.129, p.e24-e24

2018

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Automatic ictal onset source localization in presurgical epilepsy evaluation

Clinical neurophysiology, 2018-06, Vol.129 (6), p.1291-1299

2018

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A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018, p.368-372

2018

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Rhythmic and periodic EEG patterns of ‘ictal–interictal uncertainty’ in critically ill neurological patients

Clinical neurophysiology, 2016-02, Vol.127 (2), p.1176-1181

2016

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F08. Automatic spike detection in intracerebral depth electrode recordings

Clinical neurophysiology, 2018-05, Vol.129, p.e69-e69

2018

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S127. Computer aided evaluation of intracerebral depth electrode recordings by automatic seizure detection

Clinical neurophysiology, 2018-05, Vol.129, p.e189-e189

2018

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Early Epileptiform Discharges and Clinical Signs Predict Nonconvulsive Status Epilepticus on Continuous EEG

Neurocritical care, 2018-12, Vol.29 (3), p.388-395

2018

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A Comparison of Rule-Based and Machine Learning Methods for Classification of Spikes in EEG

Journal of communications, 2017-10, p.589-595

2017

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Monitoring burst suppression in critically ill patients: Multi-centric evaluation of a novel method

Clinical neurophysiology, 2016-04, Vol.127 (4), p.2038-2046

2016

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Deep Learning Method for Sleep Stage Classification

Neural Information Processing, p.796-802

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Hidden Markov Models for SSVEP-based brain computer interfaces with decision-feedback training

Frontiers in neuroinformatics, 2009, Vol.3

2009

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Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.3975-3978

2018

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Phase Coherent Detection of Steady-State Evoked Potentials: Experimental Results and Application to Brain-Computer Interfaces

2007 3rd International IEEE/EMBS Conference on Neural Engineering, 2007, p.425-429

2007

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IEEE_Xplore

Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis

Studies in health technology and informatics, 2024-04, Vol.313, p.158

2024

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First Clinical Experiences with the New DICOM Neurophysiology Standard

Studies in health technology and informatics, 2023-05, Vol.301, p.148

2023

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Fine-tuning of pre-processing filters enables scalp-EEG based training of subcutaneous EEG models

2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 2023, p.1-4

2023

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IEEE_Xplore

Die Bedeutung eines standardisierten EEG Formats für die Versorgung von Epilepsiepatienten und für die Anwendung in mobilen Applikationen

MHealth-Anwendungen Für Chronisch Kranke, 2020, p.235-251

2020

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Deep learning for estimation of functional brain maturation from EEG of premature neonates

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.104-107

2020

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An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard

Automated Long-Term EEG Review: Fast and Precise Analysis in Critical Care Patients

Idiopathic generalized epilepsies in the epilepsy monitoring unit: Systematic quantification of focal EEG and semiological signs

DICOM® integrated EEG data: A first clinical implementation of the new DICOM standard for neurophysiology data

Relational local electroencephalography representations for sleep scoring

Seizure detection with deep neural networks for review of two-channel electroencephalogram

Deep learning-based classification for brain-computer interfaces

T58. Automatic seizure detection based on multimodal signal quantification

Automatic ictal onset source localization in presurgical epilepsy evaluation

A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG

Rhythmic and periodic EEG patterns of ‘ictal–interictal uncertainty’ in critically ill neurological patients

F08. Automatic spike detection in intracerebral depth electrode recordings

S127. Computer aided evaluation of intracerebral depth electrode recordings by automatic seizure detection

Early Epileptiform Discharges and Clinical Signs Predict Nonconvulsive Status Epilepticus on Continuous EEG

A Comparison of Rule-Based and Machine Learning Methods for Classification of Spikes in EEG

Monitoring burst suppression in critically ill patients: Multi-centric evaluation of a novel method

Deep Learning Method for Sleep Stage Classification

Hidden Markov Models for SSVEP-based brain computer interfaces with decision-feedback training

Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network

Phase Coherent Detection of Steady-State Evoked Potentials: Experimental Results and Application to Brain-Computer Interfaces

Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis

First Clinical Experiences with the New DICOM Neurophysiology Standard

Fine-tuning of pre-processing filters enables scalp-EEG based training of subcutaneous EEG models

Die Bedeutung eines standardisierten EEG Formats für die Versorgung von Epilepsiepatienten und für die Anwendung in mobilen Applikationen

Deep learning for estimation of functional brain maturation from EEG of premature neonates

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