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The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—a systematic review
Abstract Functional Magnetic Resonance Imaging (fMRI) is presently one of the most
popular techniques for analysing the dynamic states in brain images using various kinds of …
popular techniques for analysing the dynamic states in brain images using various kinds of …
Application of deep learning in fMRI-based human brain parcellation: a review
Functional magnetic resonance imaging (fMRI)-based human brain parcellation reveals
brain fundamental organizational principles noninvasively, providing prior guidance for …
brain fundamental organizational principles noninvasively, providing prior guidance for …
Hierarchical spatio-temporal modeling of naturalistic functional magnetic resonance imaging signals via two-stage deep belief network with neural architecture search
Y Ren, S Xu, Z Tao, L Song, X He - Frontiers in Neuroscience, 2021 - frontiersin.org
Naturalistic functional magnetic resonance imaging (NfMRI) has become an effective tool to
study brain functional activities in real-life context, which reduces the anxiety or boredom …
study brain functional activities in real-life context, which reduces the anxiety or boredom …
Modeling hierarchical spatial and temporal patterns of naturalistic fmri volume via volumetric deep belief network with neural architecture search
The functional magnetic resonance imaging under naturalistic paradigm (NfMRI) exhibited
promising ability in approximating the functional activities of brain in real life. Deep learning …
promising ability in approximating the functional activities of brain in real life. Deep learning …
Hierarchical individual naturalistic functional brain networks with group consistency uncovered by a two-stage NAS-volumetric sparse DBN framework
S Xu, Y Ren, Z Tao, L Song, X He - eneuro, 2022 - eneuro.org
The functional magnetic resonance imaging under naturalistic paradigm (NfMRI) showed
great advantages in identifying complex and interactive functional brain networks (FBNs) …
great advantages in identifying complex and interactive functional brain networks (FBNs) …
A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging
Naturalistic stimuli, including movie, music, and speech, have been increasingly applied in
the research of neuroimaging. Relative to a resting-state or single-task state, naturalistic …
the research of neuroimaging. Relative to a resting-state or single-task state, naturalistic …
Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search
Functional magnetic resonance imaging under naturalistic paradigm (NfMRI) is gaining
increasing attraction, as it offers an ecologically-valid condition to understand brain function …
increasing attraction, as it offers an ecologically-valid condition to understand brain function …