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Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer's disease patients.Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis.SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets.Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala.Neurobiological support to the diagnosis of ADHD in stimulant-naïve adults: pattern recognition analyses of MRI data.Riemannian metric optimization on surfaces (RMOS) for intrinsic brain mapping in the Laplace-Beltrami embedding space.
P2860
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Domain adaptation for Alzheimer's disease diagnostics.
@en
Domain adaptation for Alzheimer's disease diagnostics.
@nl
type
label
Domain adaptation for Alzheimer's disease diagnostics.
@en
Domain adaptation for Alzheimer's disease diagnostics.
@nl
prefLabel
Domain adaptation for Alzheimer's disease diagnostics.
@en
Domain adaptation for Alzheimer's disease diagnostics.
@nl
P2860
P1433
P1476
Domain adaptation for Alzheimer's disease diagnostics.
@en
P2093
Australian Imaging Biomarkers and Lifestyle flagship study of ageing
Martin Reuter
P2860
P304
P356
10.1016/J.NEUROIMAGE.2016.05.053
P407
P577
2016-06-01T00:00:00Z