Voxel-based automated detection of focal cortical dysplasia lesions using diffusion tensor imaging and T2-weighted MRI data-Reference-Cited by-同舟云学术

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Voxel-based automated detection of focal cortical dysplasia lesions using diffusion tensor imaging and T2-weighted MRI data

Published:2018-07 Issue: Volume:84 Page:127-134
ISSN:1525-5050
Container-title:Epilepsy & Behavior
language:en
Short-container-title:Epilepsy & Behavior

Author:

Wang Yanming,Zhou Yawen,Wang Huijuan,Cui Jin,Nguchu Benedictor Alexander,Zhang Xufei,Qiu Bensheng,Wang Xiaoxiao,Zhu Mingwang

Funder

National Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Beijing Municipal Science & Technology Commission

Publisher

Elsevier BV

Subject

Behavioral Neuroscience,Neurology (clinical),Neurology

Reference54 articles.

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

2. Assessment and surgical outcomes for mild type I and severe type II cortical dysplasia: a critical review and the UCLA experience;Lerner;Epilepsia,2009

3. Malformations of cortical development and epilepsy;Kuzniecky;Brain Dev,2001

4. Practice parameter: Temporal lobe and localized neocortical resections for epilepsy

5. Long-term outcomes in epilepsy surgery: antiepileptic drugs, mortality, cognitive and psychosocial aspects;Tellez-Zenteno;Brain,2007

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1. Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review;Sensors;2023-08-10

2. Diffusion tensor imaging discriminates focal cortical dysplasia from normal brain parenchyma and differentiates between focal cortical dysplasia types;Insights into Imaging;2023-02-24

3. DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity;IEEE Transactions on Biomedical Engineering;2023-01

4. Artificial intelligence for medical image analysis in epilepsy;Epilepsy Research;2022-05

5. Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks;Biomedical Signal Processing and Control;2021-09

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