Yalin Wang, Ph.D.

Affiliations: 
2002 University of Washington, Seattle, Seattle, WA 
Area:
Electronics and Electrical Engineering
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"Yalin Wang"

Parents

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Robert M. Haralick grad student 2002 University of Washington
 (Document analysis: Table structure understanding and zone content classification.)

Children

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Jie Zhang grad student
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Publications

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Wu J, Dong Q, Zhang J, et al. (2021) Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology. Frontiers in Neuroscience. 15: 762458
Wu J, Dong Q, Gui J, et al. (2021) Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases. Frontiers in Neuroscience. 15: 669595
Stonnington CM, Wu J, Zhang J, et al. (2021) Improved Prediction of Imminent Progression to Clinically Significant Memory Decline Using Surface Multivariate Morphometry Statistics and Sparse Coding. Journal of Alzheimer's Disease : Jad
Zhang J, Dong Q, Shi J, et al. (2021) Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Analysis. 70: 102009
Wu J, Zhang J, Li Q, et al. (2020) Patch-Based Surface Morphometry Feature Selection with Federated Group Lasso Regression. Proceedings of Spie--the International Society For Optical Engineering. 11583
Kuang L, Jia J, Zhao D, et al. (2020) Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology. Frontiers in Aging Neuroscience. 12: 188
Dong Q, Zhang W, Stonnington CM, et al. (2020) Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline. Neuroimage. Clinical. 27: 102338
Fu Y, Zhang J, Li Y, et al. (2020) A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry. 109989
Dong Q, Zhang J, Li Q, et al. (2020) Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images. Journal of Alzheimer's Disease : Jad
Tu Y, Mi L, Zhang W, et al. (2020) Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study. Neuroinformatics
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