Machine learning classification of mesial temporal sclerosis in epilepsy patients-Reference-Cited by-同舟云学术

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Machine learning classification of mesial temporal sclerosis in epilepsy patients

Published:2015-11 Issue: Volume:117 Page:63-69
ISSN:0920-1211
Container-title:Epilepsy Research
language:en
Short-container-title:Epilepsy Research

Author:

Rudie Jeffrey D.,Colby John B.,Salamon Noriko

Funder

Department of Radiology at UCLA Center for Health Sciences

David Geffen School of Medicine at UCLA

UCLA Medical Scientist Training Program

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology

Reference32 articles.

1. Asymmetric cortical surface area and morphology changes in mesial temporal lobe epilepsy with hippocampal sclerosis;Alhusaini;Epilepsia,2012

2. Selection bias in gene extraction on the basis of microarray gene-expression data;Ambroise;Proc. Natl. Acad. Sci. U. S. A.,2002

3. Distribution of pyramidal cell density and hyperexcitability in the epileptic human hippocampal formation;Babb;Epilepsia,1984

4. Hippocampal sclerosis in temporal lobe epilepsy demonstrated by magnetic resonance imaging;Berkovic;Ann. Neurol.,1991

5. Cortical thickness analysis in temporal lobe epilepsy: reproducibility and relation to outcome;Bernhardt;Neurology,2010

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

2. Neuroimage analysis using artificial intelligence approaches: a systematic review;Medical & Biological Engineering & Computing;2024-04-26

3. Magnetoencephalography-based approaches to epilepsy classification;Frontiers in Neuroscience;2023-07-12

4. Detecting Cortical Thickness Changes in Epileptogenic Lesions Using Machine Learning;Brain Sciences;2023-03-14

5. Prediction of patients with idiopathic generalized epilepsy from healthy controls using machine learning from scalp EEG recordings;Brain Research;2023-01

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