Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons With and Without Significant Amyloid Plaques

Yanxi Chen, Yi Su, Jianfeng Wu, Kewei Chen, Alireza Atri, Richard J Caselli, Eric M. Reiman, Yalin Wang, for the Alzheimer’s Disease Neuroimaging Initiative

Journal of Alzheimer’s Disease, 2024

Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects

Dong Q, Li Z, Liu W, Chen K, Su Y, Wu J, Caselli RJ, Reiman EM, Wang Y, Shen J

IEEE Transactions on Computational Social Systems, 2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry,

Wu J, Su Y, Chen Y, Zhu W, Reiman EM, Caselli RJ, Chen K, Thompson PM, Wang J, Wang Y

Journal of Alzheimer’s Disease, 2023

Classificatio`n of Alzheimer’s disease based on hippocampal multivariate morphometry statistics

Zheng W, Liu H, Li Z, Li K, Wang Y, Hu B, Dong Q, Wang Z

CNS Neuroscience & Therapeutics, 2023

Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding

Wu J, Su Y, Zhu W, Jalili Mallak N, Lepore N, Reiman EM, Caselli RJ, Thompson PM, Chen K, Wang Y, ADNI Group

Journal of Alzheimer’s Disease, 2022

Signed graph representation learning for functional-to-structural brain network mapping

Tang H, Guo L, Fu X, Wang Y, Mackin S, Ajilore O, Leow AD, Thompson PM, Huang H, Zhan L

 Medical Image Analysis, 2022

The impact of Alzheimer’s disease susceptibility loci on lateral ventricular surface morphology in older adults,

Shan Li, Na An, Nan Chen, Yin Wang, Lin Yang, Yalin Wang, Zhijun Yao,Bin Hu, ADNI group

Brain Structure and Function, 2022

The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up,

Razvan V. Marinescu, Neil P. Oxtoby,…,Cynthia M. Stonnington, Yalin Wang, Jianfeng Wu, Vivek Devadas,…, Stefan Klein, Daniel C. Alexander, the EuroPOND Consortium, and ADNI group

Journal of Machine Learning for Biomedical Imaging, 2021

Integrating Transcriptomics, Genomics, and Imaging in Alzheimer’s Disease: A Federated Model,

Jianfeng Wu, Yanxi Chen, Panwen Wang, Richard J Caselli, Paul M Thompson, Junwen Wang, Yalin Wang, ADNI group

Frontiers in Radiology, section Artificial Intelligence in Radiology, 2021

Studying APOE-e4 Allele Dose Effects with a Univariate Morphometry Biomarker,

Gang Wang, Wenju Zhou, Deping Kong, Zongshuai Qu, Maowen Ba, Jinguang Hao, Tao Yao, Qunxi Dong, Yi Su, Eric M Reiman, Richard J Caselli, Kewei Chen, Yalin Wang, ADNI group

Journal of Alzheimer’s Disease, 2021

Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology,

Jianfeng Wu, Qunxi Dong, Jie Zhang, Yi Su, Teresa Wu, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Natasha Lepore, Kewei Chen, Paul M. Thompson, Yalin Wang, ADNI group

Frontiers in Neuroscience, section Brain Imaging Methods, 2021

Predicting Brain Amyloid using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals from the ADNI and OASIS Databases,

Jianfeng Wu, Qunxi Dong, Jie Gui, Jie Zhang, Yi Su, Kewei Chen, Paul Matthew Thompson, Richard J Caselli, Eric M Reiman, Jieping Ye, Yalin Wang, ADNI Group

Frontiers in Neuroscience, section Brain Imaging Methods, 2021

Tetrahedral Spectral Feature-Based Bayesian Manifold Learning for Grey Matter Morphometry: Findings from the Alzheimer’s DiseaseNeuroimaging Initiative,

Yonghui Fan, Gang Wang, Qunxi Dong, Yuxiang Liu, Natasha Lepore, Yalin Wang, ADNI Group  

Medical Image Analysis, 2021

Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline with Longitudinal Brain Images ,

Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye,Yalin Wang, ADNI Group 

IEEE TMI, 2021

Predicting Future Cognitive Decline with Ring-Shaped Patch Selection and Hyperbolic Stochastic Coding,

Zhang J, Dong Q, Shi J, Li Q, Stonnington CY, Gutman BA, Chen K, Reiman EM, Caselli RJ, Thompson PM, Ye J, Wang Y, ADNI Group, 

Medical Image Analysis, 2021

Improved prediction of imminent progression to clinically significant memory decline using surface multivariate morphometry statistics and sparse coding,

Cynthia M. Stonnington, Jianfeng Wu, Jie Zhang, Jie Shi, Robert J. Bauer III, Vivek Devadas, Yi Su, Dona E.C. Locke, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Yalin Wang, and for the Alzheimer’s Disease Neuroimaging Initiative, 

Journal of Alzheimer’s Disease, 2021

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition,

Wang G, Dong Q, Wu J, Su Y, Chen K, Su Q, Zhang X, Hao J, Yao T, Liu L, Zhang C, Caselli RJ, Reiman EM, Wang Y, ADNI Group, 

Medical Image Analysis, 2020

 Applying Surface-Based Morphometry to Study Ventricular Abnormalities of Cognitively Unimpaired Subjects Prior to Clinically Significant Memory Decline, 

Dong Q*, Zhang W*, Stonnington CM, Wu J, Gutman BA, Chen K, Su Y, Baxter LC, Thompson PM, Reiman EM, Caselli RJ, Wang Y, ADNI Group,

NeuroImage: Clinical, 2020.

Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology, 

Liqun Kuang, Jiaying Jia, Deyu Zhao, Fengguang Xiong, Xie Han, Yalin Wang, and for the Alzheimer’s Disease Neuroimaging Initiative, 

Front. Aging Neurosci, 2020.

Integrating Convolutional Neural Networks and Multi-task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images, 

Qunxi Dong, Jie Zhang, Qingyang Li, Junwen Wang, Natasha Leporé, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang, 

Journal of Alzheimer’s Disease, 2020.

 COMPUTING UNIVARIATE NEURODEGENERATIVE BIOMARKERS WITH VOLUMETRIC OPTIMAL TRANSPORTATION: A PILOT STUDY,

Yanshuai Tu*, Liang Mi*, Wen Zhang, Haomeng Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Xianfeng Gu, Yalin Wang, and The Alzheimer’s Disease Neuroimaging Initiative,

NeuroInformatics, 2020

Applying Surface-Based Hippocampal Morphometry to Study APOE-e4 Allele Dose Effects in Cognitively Unimpaired Subjects,

Dong Q*, Zhang W*, Wu J, Li B, Schron EH, McMahon T, Shi J, Gutman BA, Chen K, Baxter LC, Thompson PM, Reiman EM, Caselli RJ, Wang Y, 

NeuroImage: Clinical, 2019, 22:101744

Hyperbolic Wasserstein Dist`ance for Shape Indexing, 

Jie Shi, Yalin Wang, ADNI Group 

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

A Concise and Persistent Feature to Study Brain Resting-State Network Dynamics: Findings from the Alzheimer’s Disease Neuroimaging Initiative, 

Liqun Kuang, Xie Han, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang, ADNI Group  

Human Brain Mapping, 2018

Functional GenomeWide Association Analysis, NeuroImage,

Huang C, Thompson PM, Wang Y, Yu Y, Zhang J, Kong D, Colen RR, Knickmeyer RC, Zhu H, ADNI Group, FGWAS: 

159, 2017, pp. 107-121

Feature Selective Temporal Prediction of Alzheimer’s Disease Progression using Hippocampus Surface Morphometry,

Tsao S, Niharika G, Zhou J, Shi J, Ye J, Wang Y, Leporé N, ADNI Group 

Brain and Behavior, 2017, 7(7), e00733

Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures,

Wang G, Wang Y, ADNI group, 

NeuroImage, 147, Feb. 2017, pp. 360-380.

Conformal Invariants for Multiply Connected Surfaces: Application to Landmark Curve-Based Brain Morphometry Analysis,

Shi J, Zhang W, Tang M, Caselli RJ, Wang Y, ADNI Group, 

Medical Image Analysis, 35, Jan. 2017, pp. 517-529.

Influence of APOE Genotype on Hippocampal Atrophy over Time – An N=1925 Surface-based ADNI Study,

Li B, Shi J, Gutman BA, Baxter LC, Thompson PM, Caselli RJ, Wang Y, ADNI Group, 

PLOS ONE 11(4), e0152901, 2016.

A Bayesian Functional Linear Cox Regression Model (BFLCRM) for Predicting Time to Conversion to Alzheimer’s Disease,

Lee E, Zhu H, Kong D, Wang Y, Giovanello KS, Ibrahim JG, ADNI Group, 

Annals of Applied Statistics, 9(4), 2015, pp. 2153-2178.

 Boosting Brain Connectome Classification Accuracy in Alzheimer’s disease using Higher-Order Singular Value Decomposition,

Zhan L, Liu Y, Wang Y, Jahanshad N, Ye J, Thompson PM, ADNI Group,

Frontiers in Neuroscience, section Brain Imaging Methods, 9:257, Jul 2015.

Predicting Alzheimer’s disease using combined imaging-whole genome SNP data, 

Kong D, Giovanello KS, Wang Y, Lin W, Lee E, Fan Y, Doraiswamy PM, Zhu H, ADNI Group, 

Journal of Alzheimer’s Disease, 46(3), Jun 2015, pp. 695-702

Comparison of Nine Tractography Algorithms for Detecting Abnormal Structural Brain Networks in Alzheimer’s Disease,

Zhan L*, Zhou J*, Wang Y, Jin Y, Jahanshad N, Prasad G, Nir TM, Leonardo C, Ye J, Thompson PM, ADNI Group, 

Frontiers in Aging Neuroscience, 7:48, Mar. 2015.

A Novel Cortical Thickness Estimation Method based on Volumetric Laplace-Beltrami Operator and Heat Kernel,

Wang G, Zhang X, Su Q, Shi J, Caselli RJ, Wang Y, ADNI Group, 

Medical Image Analysis, 22(1), Feb. 2015, pp. 1-20.

 Studying Ventricular Abnormalities in Mild Cognitive Impairment with Hyperbolic Ricci Flow and Tensor-based Morphometry,

Shi J, Stonnington CM, Thompson PM, Chen K, Gutman BA, Reschke C, Baxter LC, Reiman EM, Caselli RJ, Wang Y, ADNI Group,

NeuroImage, 104(1), Jan. 2015, pp. 1-20.

Empowering imaging biomarkers of Alzheimer’s disease,

Gutman BA, Wang Y, Yanovsky I, Hua X, Toga AW, Jack CR Jr, Weiner MW, Thompson PM, ADNI Group, 

Neurobiology of Aging, 36, Jan. 2015, pp. S69-80.

Genetic Influence of APOE4 Genotype on Hippocampal Morphometry ‒ An N=725 Surface-based Alzheimer’s Disease Neuroimaging Initiative Study,

Shi J, Leporé N, Gutman B, Thompson PM, Baxter LC, Caselli RJ, Wang Y, ADNI Group, 

Human Brain Mapping, 35(8), Aug. 2014, pp. 3903-3918.

 Analysis of Sampling Techniques for Imbalanced Data: An N=648 ADNI Study,

Dubey R, Zhou J, Wang Y, Thompson PM, Ye J, ADNI Group,

NeuroImage, 87, Feb. 2014, pp. 220-241.

 Bi-Level Multi-Source Learning for Heterogeneous Block-Wise Missing Data,

Xiang S, Yuan L, Fan W, Wang Y, Thompson PM, Ye J, ADNI Group,

NeuroImage, 102, Part 1, Nov. 2014, pp. 192-206.

Surface Fluid Registration of Conformal Representation: Application to Detect Disease Burden and Genetic Influence on Hippocampus,

Shi J, Thompson PM, Gutman B, Wang Y, ADNI Group, 

NeuroImage, 78, Sep. 2013, pp. 111-134.

Maximizing Power to Track Alzheimer’s Disease and MCI Progression by LDA-Based Weighting of Longitudinal Ventricular Surface Features,

Gutman B, Hua X, Rajagopalan P, Chou Y, Wang Y, Yanovsky I, Toga AW, Jack Jr CR, Weiner MW, Thompson PM, ADNI Group, 

NeuroImage, 70, April, 2013, pp. 386-401.

 Teichmüller Shape Descriptor and Its Application to Alzheimer’s Disease Study,

Zeng W, Shi R, Wang Y, Yau S-T, Gu X, ADNI Group,

International Journal of Computer Vision, 105(2), 2013, pp. 155-170.

 Multi-Source Feature Learning for Joint Analysis of Incomplete Multiple Heterogeneous Neuroimaging Data,

Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J, ADNI Group,

NeuroImage, 61(3), July 2012, pp. 622-632.

Surface-based TBM Boosts Power to Detect Disease Effects on the Brain: An N=804 ADNI Study,

Wang Y, Song Y, Rajagopalan P, An T, Liu K, Chou Y, Gutman B, Toga AW, Thompson PM, ADNI Group, 

NeuroImage, 56(4), June 2011, pp. 1993-2010

Multivariate Tensor-based Morphometry on Surfaces: Application to Mapping Ventricular Abnormalities in HIV/AIDS,

Wang Y, Zhang J, Gutman B, Chan TF, Becker JT, Aizenstein HJ, Lopez OL, Tamburo RJ, Toga AW, Thompson PM, ADNI Group  

NeuroImage, 49(3), February 2010, pp. 2141-2157

 Disease Classification with Hippocampal Shape Invariants,

Gutman B, Wang Y, Morra J, Thompson PM, Toga AW, ADNI Group

Hippocampus 19, 2009, pp. 572-578