Funding Sourcesπ
This work was supported by the National Institutes of Health (NIH) through awards administered by the National Institute on Drug Abuse (NIDA) (1U01DA055371 The Healthy Brain and Child Development National Consortium; U24 DA055330 Healthy brain and child development national consortium data coordinating center; U01DA041148 Consortium Research Project Site at OHSU), Office of the Director (OD) (UG3 OD023349 Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared Mechanisms), and National Institute of Mental Health (NIMH) (1R37MH125829-01 Precision mapping of individualized executive networks in youth; 2R01MH096773-08A1 Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASD).
Softwareπ
- nvidia/pytorch:21.11-py3
- nnU-Net
- SynthSeg
- FSL v6.0.5.1
- ANTS v2.3.3
- BIBSnet v1.0.0
- SynthStrip v1.5
Referencesπ
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Hoopes, Andrew, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann (*equal contribution). 2022. "SynthStrip: Skull-Stripping for Any Brain Image." NeuroImage 260. https://doi.org/10.1016/j.neuroimage.2022.119474.
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