AiED: Artificial intelligence for the detection of intracranial interictal epileptiform discharges-Reference-Cited by-同舟云学术

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AiED: Artificial intelligence for the detection of intracranial interictal epileptiform discharges

Published:2022-01 Issue: Volume:133 Page:1-8
ISSN:1388-2457
Container-title:Clinical Neurophysiology
language:en
Short-container-title:Clinical Neurophysiology

Author:

Quon Robert J.,Meisenhelter Stephen,Camp Edward J.,Testorf Markus E.,Song Yinchen,Song Qingyuan,Culler George W.,Moein Payam,Jobst Barbara C.

Funder

National Science Foundation

Burroughs Wellcome Fund

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. TensorFlow: A system for large-scale machine learning;Abadi;ArXiv160508695 Cs,2016

2. Detection of Interictal Discharges With Convolutional Neural Networks Using Discrete Ordered Multichannel Intracranial EEG;Antoniades;IEEE Trans Neural Syst Rehabil Eng,2017

3. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain;Avants;Med Image Anal,2008

4. Do Interictal Spikes Sustain Seizures and Epileptogenesis?;Avoli;Epilepsy Curr,2006

5. Interictal epileptiform discharge characteristics underlying expert interrater agreement;Bagheri;Clin Neurophysiol,2017

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2. Critical dynamics predict cognitive performance and are disrupted by epileptic spikes, antiseizure medication and slow-wave activity;2024-08-20

3. Critical dynamics and interictal epileptiform discharge: a comparative analysis with respect to tracking seizure risk cycles;Frontiers in Network Physiology;2024-07-09

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

5. Artificial intelligence in epilepsy — applications and pathways to the clinic;Nature Reviews Neurology;2024-05-08

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