FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI is a research paper published in Imaging Neuroscience (2023). On theSindex it has a DataRank of 0. It has been cited 20 times.
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NIMH NIH HHS
Grant: R56 MH121426
NIBIB NIH HHS
Grant: P41 EB030006
NIA NIH HHS
Grant: R01 AG064027
NLM NIH HHS
Grant: R01 LM012719
NIMH NIH HHS
Grant: U54 MH091657
European Commission
Grant: 101041677
Tandem Repeats Associated with Neurogenomic Somatic Instability and Neurodegeneration
National Institutes of Health
Grant: 1R56MH121426-01
Imaging the neurodevelopmental trajectory of depression and anxiety disorders with HCP protocols
National Institutes of Health
Grant: 5R01LM012719-02
Novel Bioinformatics Strategies to Study Associations Between Genetic Variants and Neuroanatomical Shape
National Institutes of Health
Grant: 5R01AG064027-04
Deep Learning Algorithms for FreeSurfer
National Institutes of Health
Grant: 3U54MH091657-03S1
Mapping the Human Connectome: Structure, Function, and Heritability
National Institutes of Health
Grant: 1P41EB030006-01
Center for Mesoscale Mapping
FWCI
11.05
Citation Percentile
1.0%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
HypVINN Checkpoints
HypVINN Checkpoints
HypVINN Checkpoints
FastSurfer-HypVINN Segmentation Models for Sub-Segmentation of the Hypothalamus and Adjacent Sctructures
FastSurfer-HypVINN Segmentation Models for Sub-Segmentation of the Hypothalamus and Adjacent Sctructures
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI