Uncovering shape signatures of resting‐state functional connectivity by geometric deep learning on Riemannian manifold is a research paper published in Human Brain Mapping (2022). On theSindex it has a DataRank of 0. It has been cited 12 times.
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National Institutes of Health
Grant: HD103573
National Institutes of Health
Grant: AG073927
National Institutes of Health
Grant: AG071701
National Institutes of Health
Grant: AG068399
NIA NIH HHS
Grant: RF1 AG068399
NIA NIH HHS
Grant: R03 AG070701
NIA NIH HHS
Grant: R03 AG073927
National Institutes of Health
Grant: 5P50HD103573-03
Clinical Translational Research Center for Neurodevelopmental Disorders
National Institutes of Health
Grant: 1RF1AG068399-01
Understanding Selectivity Mechanisms of Network Vulnerability and Resilience in Alzheimer's Disease by Establishing a Neurobiological Basis through Network Neuroscience
National Institutes of Health
Grant: 5R03AG073927-02
Uncovering the Heterogeneity of Neurodegeneration Trajectories in Alzheimer's Disease Using a Network Guided Reaction-Diffusion Model
FWCI
0.93
Citation Percentile
0.7%
Citation Trend
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