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2-CHANNEL CONVOLUTIONAL 3D DEEP NEURAL NETWORK (2CC3D) FOR FMRI ANALYSIS: ASD CLASSIFICATION AND FEATURE LEARNING

In this paper, we propose a new whole brain fMRI-analysis scheme to identify autism spectrum disorder (ASD) and explore biological markers in ASD classification. To utilize both spatial and temporal information in fMRI, our method investigates the potential benefits of using a sliding window over ti...

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Bibliografski detalji
Izdano u:Proc IEEE Int Symp Biomed Imaging
Glavni autori: Li, Xiaoxiao, Dvornek, Nicha C., Papademetris, Xenophon, Zhuang, Juntang, Staib, Lawrence H., Ventola, Pamela, Duncan, James S.
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7519578/
https://ncbi.nlm.nih.gov/pubmed/32983370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2018.8363798
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