An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard-Reference-Cited by-同舟云学术

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

Published:2020-06 Issue:6 Volume:131 Page:1174-1179
ISSN:1388-2457
Container-title:Clinical Neurophysiology
language:en
Short-container-title:Clinical Neurophysiology

Author:

Fürbass Franz,Kural Mustafa Aykut,Gritsch Gerhard,Hartmann Manfred,Kluge Tilmann,Beniczky Sándor

Funder

Henry & Carla Hansen Foundation

Austrian Research Promotion Agency

Publisher

Elsevier BV

Subject

Physiology (medical),Neurology (clinical),Neurology,Sensory Systems

Reference30 articles.

1. Machine learning applications in epilepsy;Abbasi;Epilepsia,2019

2. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction;Attia;Lancet,2019

3. A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram;Bagheri;J Neurosci Methods,2019

4. Automatic computer-based detection of epileptic seizures;Baumgartner;Front Neurol,2018

5. Belagiannis V, Rupprecht C, Carneiro G, Navab N. Robust optimization for deep regression. ArXiv150506606 CsCV; 2015 [cited 2019 Sep 25]; Available from: http://arxiv.org/abs/1505.06606.

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2. vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data;Neural Networks;2024-07

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