ID-Seg: An Accurate and Reliable Infant Deep learning Segmentation Framework for Limbic Structures is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 2 times.
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National Institutes of Health
Grant: 5U2COD023375-04
ECHO Coordinating Center
National Institutes of Health
Grant: 5U24OD023319-04
ECHO PRO Research Resource: A Developmentally-based Measurement Science Framework for Assessing Environmental Exposure and Child Health
National Institutes of Health
Grant: 5U24OD023382-07
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)
National Institutes of Health
Grant: 3UH3OD023328-07S1
Breaking the Cycle of Intergenerational Disadvantage: Neurodevelopment Among Puerto Rican Children
Fields of Study
Keywords
Sustainable Development Goals