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Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso.Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometryGenetic influence of apolipoprotein E4 genotype on hippocampal morphometry: An N = 725 surface-based Alzheimer's disease neuroimaging initiative study.A multivariate surface-based analysis of the putamen in premature newborns: regional differences within the ventral striatum.A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel.Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry.Influence of APOE Genotype on Hippocampal Atrophy over Time - An N=1925 Surface-Based ADNI Study.Structural Plasticity of the Hippocampus and Amygdala Induced by Electroconvulsive Therapy in Major Depression.Brain surface conformal parameterization with the Ricci flow.Surface fluid registration of conformal representation: application to detect disease burden and genetic influence on hippocampusMORPHOMETRIC ANALYSIS OF HIPPOCAMPUS AND LATERAL VENTRICLE REVEALS REGIONAL DIFFERENCE BETWEEN COGNITIVELY STABLE AND DECLINING PERSONS.APPLYING SPARSE CODING TO SURFACE MULTIVARIATE TENSOR-BASED MORPHOMETRY TO PREDICT FUTURE COGNITIVE DECLINE.Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis.Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment
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description
researcher ORCID: 0000-0002-9095-0557
@en
name
Jie Shi
@ast
Jie Shi
@en
Jie Shi
@es
Jie Shi
@nl
type
label
Jie Shi
@ast
Jie Shi
@en
Jie Shi
@es
Jie Shi
@nl
prefLabel
Jie Shi
@ast
Jie Shi
@en
Jie Shi
@es
Jie Shi
@nl
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P108
P1153
55491867400
P31
P496
0000-0002-9095-0557