ArticleFrontiers in human neuroscience2020
Identifying Epilepsy Based on Deep Learning Using DKI Images.
Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Epilepsy Detected Using a New Method Based on Volumetric Analysis Results from Brain MR Images.Biomimetics (Basel, Switzerland) · 2026Article
- AI enabled decision support systems in epilepsy surgery a scoping review.Research square · 2026Article
- Deep learning enabled decision support systems in epilepsy surgery: a scoping review.npj health systems · 2026Article
- Detection challenges of temporal encephaloceles in epilepsy: A retrospective analysis.Magnetic resonance imaging · 2025Review
- Artificial intelligence in epilepsy - applications and pathways to the clinic.Nature reviews. Neurology · 2024Review
- Machine learning techniques based onFrontiers in neurology · 2024Article
- Applications for Deep Learning in Epilepsy Genetic Research.International journal of molecular sciences · 2023Review
- Deep-EEG: An Optimized and Robust Framework and Method for EEG-Based Diagnosis of Epileptic Seizure.Diagnostics (Basel, Switzerland) · 2023Article
- Identifying epilepsy based on machine-learning technique with diffusion kurtosis tensor.CNS neuroscience & therapeutics · 2022Article
- Brain Diffusion Weighted Imaging Study of Mongolian Idiopathic Epilepsy.Journal of healthcare engineering · 2022Article
- Deep Learning Approaches for Automatic Localization in Medical Images.Computational intelligence and neuroscience · 2022Review
- Foundations of Lesion Detection Using Machine Learning in Clinical Neuroimaging.Acta neurochirurgica. Supplement · 2022Article
- Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review.Frontiers in neuroscience · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epilepsy is a serious hazard to human health. Minimally invasive surgery is currently an extremely effective treatment to refractory epilepsy. However, it is challenging to localize the lesion for most patients because they are MRI negative. The identification of epileptic foci in local brain region will be helpful to the localization of epileptic foci because we can infer whether there is a lesion from the results of the classification. For the sake of simplicity and the data we collected, only the hippocampus was segmented as a local brain region and classified in this paper. We recruited 59 children with hippocampus epilepsy and 70 age- and sex-matched normal controls, and diffusion kurtosis images (DKI) for all subjects were collected because DKI can understand the pathological changes of local tissues and other regions of epileptic foci at the molecular level. Then, a mask of hippocampus was made to segment the hippocampus of FA, MD, and MK images for all subjects, which are the parameter images of DKI and were used to perform the independent-sample
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