A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei is a research paper published in Frontiers in Neuroscience (2020). On theSindex it has a DataRank of 0. It has been cited 18 times.
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NIA NIH HHS
Grant: UF1 AG051216
NIA NIH HHS
Grant: R56 AG052698
NIMH NIH HHS
Grant: P50 MH100031
NIAID NIH HHS
Grant: U54 AI117924
NICHD NIH HHS
Grant: U54 HD090256
NINDS NIH HHS
Grant: R01 NS092870
NIBIB NIH HHS
Grant: R01 EB022883
National Institutes of Health
Grant: 5R01EB022883-02
Manifold-valued statistical models for longitudinal morphometic analysis in preclinical Alzheimer's disease (AD)
National Institutes of Health
Grant: 1R56AG052698-01
Apnea and local sleep: Mechanism and intervention in preclinical Alzheimer's
National Institutes of Health
Grant: 5U54HD090256-05
Waisman Intellectual and Developmental Disabilities Research Center
National Institutes of Health
Grant: 5U54AI117924-05
The Center for Predictive Computational Phenotyping-1 Overall
National Institutes of Health
Grant: 4P50MH100031-04
Early neurodevelopment origins of anxiety
National Institutes of Health
Grant: 5R01NS092870-04
MRI markers of functional outcome after severe pediatric TBI
National Institutes of Health
Grant: 3UF1AG051216-01A1S1
Alzheimer's Disease Connectome Project
FWCI
0.96
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords