Eric M. Reiman

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 20

Top Topics

Mild Cognitive Impairment

Top Venues

Medical Image Anal.

Publications

Jianfeng Wu, Yi Su, Yanxi Chen, Wenhui Zhu, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry. CoRR (2023)
Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Jianfeng Wu, Yi Su, Wenhui Zhu, Negar Jalili Mallak, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding. CoRR (2022)
Jianfeng Wu, Yi Su, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang
Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model. ISBI (2022)
Xiaojuan Guo, Kewei Chen, Yinghua Chen, Chengjie Xiong, Yi Su, Li Yao, Eric M. Reiman
A Computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70 (2021)
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR (2021)
Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition. Medical Image Anal. 67 (2021)
Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy. CoRR (2021)
Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition. CoRR (2020)
Justin Remer, Douglas C. Dean III, Kewei Chen, Rebecca A. Reiman, Matthew J. Huentelman, Eric M. Reiman, Sean C. L. Deoni
Longitudinal white matter and cognitive development in pediatric carriers of the apolipoprotein ε4 allele. NeuroImage 222 (2020)
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
Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study. Neuroinformatics 18 (4) (2020)
Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. ISBI (2018)
Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. EMBC (2018)
Shibani Singh, Anant Srivastava, Liang Mi, Richard J. Caselli, Kewei Chen, Dhruman Goradia, Eric M. Reiman, Yalin Wang
Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories. SIPAIM (2017)
Liang Mi, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, Yalin Wang
An Optimal Transportation Based Univariate Neuroimaging Index. ICCV (2017)
Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) (2016)
Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Paul M. Thompson, Jieping Ye, Yalin Wang
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI (2016)
Wen Zhang, Jie Shi, Cynthia M. Stonnington, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Paul M. Thompson, Eric M. Reiman, Richard J. Caselli, Yalin Wang
Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. ISBI (2016)
Jie Shi, Cynthia M. Stonnington, Paul M. Thompson, Kewei Chen, Boris Gutman, Cole Reschke, Leslie C. Baxter, Eric M. Reiman, Richard J. Caselli, Yalin Wang
Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry. NeuroImage 104 (2015)
Zifan Cai, Qian Di, Kewei Chen, Eric M. Reiman, Liang Wang, Kuncheng Li, Jie Tang, Li Yao, Xiao-jie Zhao
Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image. Medical Imaging: Computer-Aided Diagnosis (2007)
Nicola Pannacciulli, Duc Son N. T. Le, Arline D. Salbe, Kewei Chen, Eric M. Reiman, Pietro A. Tataranni, Jonathan Krakoff
Postprandial glucagon-like peptide-1 (GLP-1) response is positively associated with changes in neuronal activity of brain areas implicated in satiety and food intake regulation in humans. NeuroImage 35 (2) (2007)
Jason F. Smith, Kewei Chen, Sterling C. Johnson, Jeannine Morrone-Strupinsky, Eric M. Reiman, Ann Nelson, James R. Moeller, Gene E. Alexander
Network analysis of single-subject fMRI during a finger opposition task. NeuroImage 32 (1) (2006)
Nicola Pannacciulli, Angelo Del Parigi, Kewei Chen, Duc Son N. T. Le, Eric M. Reiman, Pietro A. Tataranni
Brain abnormalities in human obesity: A voxel-based morphometric study. NeuroImage 31 (4) (2006)
Kewei Chen, Xiaolin Ge, Li Yao, Daniel Bandy, Gene E. Alexander, Anita Prouty, Christine Burns, Xiao-jie Zhao, Xiaotong Wen, Ronald Korn, Michael Lawson, Eric M. Reiman
An automated normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display. Medical Imaging: Image Processing (2006)
Angelo Del Parigi, Kewei Chen, Arline D. Salbe, Eric M. Reiman, P. Antonio Tataranni
Sensory experience of food and obesity: a positron emission tomography study of the brain regions affected by tasting a liquid meal after a prolonged fast. NeuroImage 24 (2) (2005)
Kewei Chen, Eric M. Reiman, Gene E. Alexander, Daniel Bandy, Rosemary A. Renaut, William R. Crum, Nick C. Fox, Martin Rossor
An automated algorithm for the computation of brain volume change from sequential MRIs using an iterative principal component analysis and its evaluation for the assessment of whole-brain atrophy rates in patients with probable Alzheimer's disease. NeuroImage 22 (1) (2004)
J. Valla, Kewei Chen, J. D. Berndt, F. Gonzalez-Lima, Simon R. Cherry, D. Games, Eric M. Reiman
Effects of Image Resolution on Autoradiographic Measurements of Posterior Cingulate Activity in PDAPP Mice: Implications for Functional Brain Imaging Studies of Transgenic Mouse Models of Alzheimer's Disease. NeuroImage 16 (1) (2002)