Wang, Yalin - School of Computing, Informatics, and Decision Systems Engineering, Arizona State University

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Wang, Yalin - School of Computing, Informatics, and Decision Systems Engineering, Arizona State University

Surface-based TBM Boosts Power to Detect Disease Effects on the Brain: An N=804 ADNI Study Yalin Wang1, Yang Song2, Priya Rajagopalan3, Tuo An3, Krystal Liu3, YiYu Chou3,
Surface-based TBM boosts power to detect disease effects on the brain: An N=804 Yalin Wang a,
Human Brain Mapping with Conformal Geometry and Multivariate Tensor-based
Teichmuller Shape Descriptor and Its Application to Alzheimer's Disease Study
Subcortical Structures Morphometry in Premature Neonates: A Parametric Surface-based Approach
Surface Morphometry of Subcortical Structures in Premature Yalin Wang1
Surface Multivariate Tensor-based Morphometry on Premature Neonates: A Pilot Study
Hippocampal Morphometry Study by Automated Surface Fluid Registration and Its
Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been
TENSOR-BASED MORPHOMETRY AND SPARSE LEARNING CAN IMPROVE MRI-BASED DISEASE
SURFACE FLUID REGISTRATION OF CONFORMAL REPRESENTATION: APPLICATION TO DETECT DISEASE
CONFORMAL MAPPING OF NUCLEI IN 3D TOMOGRAPHIC CELL IMAGES TO ASSESS SHAPE HETEROGENEITY