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Deep Learning for Quality Control of Subcortical Brain 3D Shape Models.

, , , , , , , , , , , , and . ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 268-276. Springer, (2018)

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Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging., , , , , , , , and . CoRR, (2017)Northwestern University Schizophrenia Data and Software Tool (NUSDAST)., , , , , , and . Front. Neuroinform., (2013)The Northwestern University Neuroimaging Data Archive (NUNDA)., , , , and . NeuroImage, (2016)Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging., , , , , , , , , and 2 other author(s). MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 371-378. Springer, (2017)SchizConnect: Virtual Data Integration in Neuroimaging., , , , , , , , , and 1 other author(s). DILS, volume 9162 of Lecture Notes in Computer Science, page 37-51. Springer, (2015)Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories., , , , , , , , , and 2 other author(s). DILS, volume 9162 of Lecture Notes in Computer Science, page 104-117. Springer, (2015)Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration., , , , and . NeuroImage, (2016)SchizConnect: Mediating neuroimaging databases on schizophrenia and related disorders for large-scale integration., , , , , , , , , and 3 other author(s). NeuroImage, (2016)Cognitively normal individuals with AD parents may be at risk for developing aging-related cortical thinning patterns characteristic of AD., , , , , , and . NeuroImage, 61 (3): 525-532 (2012)Deep Learning for Quality Control of Subcortical Brain 3D Shape Models., , , , , , , , , and 3 other author(s). ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 268-276. Springer, (2018)