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A protocol for fMRI visual decoding
(2014-09)
An fMRI Normative Database for Connectivity Networks Using One-Class Support Vector Machines
(WILEY-LISS, 2009)
The application of functional magnetic resonance imaging (fMRI) in neuroscience studies has increased enormously in the last decade. Although primarily used to map brain regions activated by specific stimuli, many studies ...
Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks
Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most deep learning ...