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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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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Proc IEEE Int Symp Biomed Imaging
Prif Awduron: Li, Xiaoxiao, Dvornek, Nicha C., Papademetris, Xenophon, Zhuang, Juntang, Staib, Lawrence H., Ventola, Pamela, Duncan, James S.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2018
Pynciau:
Mynediad Ar-lein: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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