Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy-Reference-Cited by-同舟云学术

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Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy

Published:2017 Issue: Volume:14 Page:18-27
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Adler Sophie,Wagstyl Konrad,Gunny Roxana,Ronan Lisa,Carmichael David,Cross J Helen,Fletcher Paul C.,Baldeweg Torsten

Funder

National Institute for Health Research Biomedical Research Centre

Rosetrees Trust

James Baird Fund

Wellcome Trust

Great Ormond Street Hospital Children's Charity

Bernard Wolfe Health Neuroscience Fund

Publisher

Elsevier BV

Subject

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

Reference56 articles.

1. Cortical feature analysis and machine learning improves detection of ‘MRI-negative’ focal cortical dysplasia;Ahmed;Epilepsy Behav.,2015

2. Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra-temporal partial epilepsy;Bernasconi;Ann. Neurol.,2001

3. Advances in MRI for ‘cryptogenic’ epilepsies;Bernasconi;Nat. Rev. Neurol.,2011

4. Small focal cortical dysplasia lesions are located at the bottom of a deep sulcus;Besson;Brain,2008

5. The clinicopathologic spectrum of focal cortical dysplasias: a consensus classification proposed by an ad hoc task force of the ILAE diagnostic methods commission1;Blümcke;Epilepsia,2010

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