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Iscience|January 29, 2025
Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impactEnrique Mondragon-Estrada, Jane W Newburger, Steven R DePalma, et al.
Neuroimage|April 21, 2009
Predicting the location of entorhinal cortex from MRIBruce Fischl, Allison A Stevens, Niranjini Rajendran, et al.
Communications Medicine|February 6, 2026
Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart diseaseMohammad Arafat Hussain, Sheng He, Heather R Adams, et al.
Nature|April 13, 2018
Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical sizeMatthew B Johnson, Xingshen Sun, Andrew Kodani, et al.
Nature Genetics|March 3, 2017
Biallelic mutations in human DCC cause developmental split-brain syndromeSaumya S Jamuar, Klaus Schmitz-Abe, Alissa M D'Gama, et al.
IEEE Transactions on Medical Imaging|December 11, 2025
BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic EncephalopathyRina Bao, Anna N Foster, Ya'nan Song, et al.
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