Diagnostic and prognostic EEG analysis of critically ill patients: A deep learning study-Reference-Cited by-同舟云学术

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Diagnostic and prognostic EEG analysis of critically ill patients: A deep learning study

Published:2022 Issue: Volume:36 Page:103167
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Jonas Stefan,Müller Michael,Rossetti Andrea O.,Rüegg Stephan,Alvarez Vincent,Schindler Kaspar,Zubler Frédéric

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference55 articles.

1. Convolutional neural networks for decoding electroencephalography responses and visualizing trial by trial changes in discriminant features;Aellen;J. Neurosci. Methods,2021

2. Electroencephalographic grading of neuronal dysfunction in various etiologies of encephalopathy;Alkhamis;Clin. EEG Neurosci.,2020

3. Complementary roles of neural synchrony and complexity for indexing consciousness and chances of surviving in acute coma;Alnes;NeuroImage,2021

4. Value of re-interpretation of controversial EEGs in a tertiary epilepsy clinic;Arends;Clin. Neurophysiol.,2017

5. Interrater reliability of EEG-video monitoring;Benbadis;Neurology,2009

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1. Application of advanced biosensors in nervous system diseases;Interdisciplinary Medicine;2024-08

2. Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist;Current Neurology and Neuroscience Reports;2023-12

3. Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications;Frontiers in Neurology;2023-07-24

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