Identifying Epilepsy Based on Deep Learning Using DKI Images-Reference-Cited by-同舟云学术

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Identifying Epilepsy Based on Deep Learning Using DKI Images

Published:2020-11-09 Issue: Volume:14 Page:
ISSN:1662-5161
Container-title:Frontiers in Human Neuroscience
language:
Short-container-title:Front. Hum. Neurosci.

Author:

Huang Jianjun,Xu Jiahui,Kang Li,Zhang Tijiang

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference25 articles.

1. Fast and precise hippocampus segmentation through deep convolutional neural network ensembles and transfer learning.;Ataloglou;Neuroinformatics,2019

2. Cross-Domain MLP and CNN transfer learning for biological signal processing: EEG and EMG.;Bird;IEEE Access,2020

3. Using machine learning to classify temporal lobe epilepsy based on diffusion MRI.;Gaizo;Brain Behav.,2017

4. 3-D CNN models for far-field multi-channel speech recognition;Ganapathy;2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2018

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4. Machine learning techniques based on 18F-FDG PET radiomics features of temporal regions for the classification of temporal lobe epilepsy patients from healthy controls;Frontiers in Neurology;2024-04-09

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