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A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory
In this study, a deep neural network (DNN) is proposed to reduce the noise in task-based fMRI data without explicitly modeling noise. The DNN artificial neural network consists of one temporal convolutional layer, one long short-term memory (LSTM) layer, one time-distributed fully-connected layer, a...
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| Gepubliceerd in: | Med Image Anal |
|---|---|
| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6980789/ https://ncbi.nlm.nih.gov/pubmed/31811979 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2019.101622 |
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