Kewei Chen

94 papers A* 5B 4Misc 1Journal 68Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN.
CoRR
Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J. Caselli, Nicholas Ashton, Eric M. Reiman, Yalin Wang
2025 — conf
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to Pet Cross-Modality Translation Using Conditional CycleGAN.
ISBI
Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J. Caselli, Nicholas Ashton, Eric M. Reiman, Yalin Wang
2024 — conf
Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification.
ISBI
Zhangsihao Yang, Yi Su, Rahimeh Rouhi, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Yalin Wang, Natasha Leporé
2024 J jnl
Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement.
J. Imaging
Habte Tadesse Likassa, Ding-Geng Chen, Kewei Chen, Yalin Wang, Wenhui Zhu
2023 J jnl
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.
IEEE Trans. Medical Imaging
Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang
2023 J jnl
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry.
CoRR
Jianfeng Wu, Yi Su, Yanxi Chen, Wenhui Zhu, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang
2023 J jnl
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects.
IEEE Trans. Comput. Soc. Syst.
Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen
2022 J jnl
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.
Xiaojuan Guo, Kewei Chen, Yinghua Chen, Chengjie Xiong, Yi Su, Li Yao, Eric M. Reiman
2022 — conf
Addressing imaging accessibility by cross-modality transfer learning.
Computer-Aided Diagnosis
Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li
2022 — conf
Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning.
Computer-Aided Diagnosis
Lujia Wang, Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li
2022 J jnl
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding.
CoRR
Jianfeng Wu, Yi Su, Wenhui Zhu, Negar Jalili Mallak, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang
2022 — conf
Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model.
ISBI
Jianfeng Wu, Yi Su, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang
2021 J jnl
A novel transfer learning model for predictive analytics using incomplete multimodality data.
IISE Trans.
Xiaonan Liu, Kewei Chen, David Weidman, Teresa Wu, Fleming Lure, Jing Li
2021 J jnl
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition.
Medical Image Anal.
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
2021 J jnl
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding.
CoRR
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
2021 J jnl
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy.
CoRR
Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang
2021 J jnl
Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal.
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
2021 J jnl
Relationship between the disrupted topological efficiency of the structural brain connectome and glucose hypometabolism in normal aging.
NeuroImage
Qiuhui Bi, Wenxiao Wang, Na Niu, He Li, Yezhou Wang, Weijie Huang, Kewei Chen, Kai Xu, Junying Zhang, Yaojing Chen, Dongfeng Wei, Ruixue Cui, Ni Shu, Zhanjun Zhang
2020 J jnl
Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study.
Neuroinformatics
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
2020 J jnl
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition.
CoRR
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
2020 J jnl
Longitudinal white matter and cognitive development in pediatric carriers of the apolipoprotein ε4 allele.
NeuroImage
Justin Remer, Douglas C. Dean III, Kewei Chen, Rebecca A. Reiman, Matthew J. Huentelman, Eric M. Reiman, Sean C. L. Deoni
2020 A* conf
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
ICML
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020 J jnl
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
CoRR
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2019 J jnl
Changes in the Functional and Structural Default Mode Network Across the Adult Lifespan Based on Partial Least Squares.
IEEE Access
Xiaoyu Zhao, Li Yao, Kewei Chen, Ke Li, Jiacai Zhang, Xiaojuan Guo
2018 — conf
ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data.
Computer-Aided Diagnosis
Xiaonan Liu, Kewei Chen, Teresa Wu, David Weidman, Fleming Lure, Jing Li
2018 — conf
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics.
ISBI
Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
2018 — conf
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease.
EMBC
Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang
2017 A* conf
An Optimal Transportation Based Univariate Neuroimaging Index.
ICCV
Liang Mi, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, Yalin Wang
2017 J jnl
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.
Frontiers Comput. Neurosci.
Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Alzheimer's Disease Neuroimaging Initiative
2017 — conf
Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories.
SIPAIM
Shibani Singh, Anant Srivastava, Liang Mi, Richard J. Caselli, Kewei Chen, Dhruman Goradia, Eric M. Reiman, Yalin Wang
2017 — conf
Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data.
ICHI
Fei Gao, Jing Li, Teresa Wu, Kewei Chen, Fleming Lure, David Weidman
2017 Misc conf
Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease.
DICTA
Qing Li, Xia Wu, Lele Xu, Li Yao, Kewei Chen
2017 J jnl
Multi-feature kernel discriminant dictionary learning for face recognition.
Pattern Recognit.
Xia Wu, Qing Li, Lele Xu, Kewei Chen, Li Yao
2017 J jnl
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.
Comput. Methods Programs Biomed.
Qing Li, Xia Wu, Lele Xu, Kewei Chen, Li Yao, Rui Li
2016 J jnl
A CAD Tribute to Gerald Farin.
Comput. Aided Des.
Kewei Chen, Nikolaos C. Gabrielides, Nickolas S. Sapidis, Ramon F. Sarraga, Timothy Strotman, Hans Wolters, Zhiyong (Sean) Xie
2016 — conf
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
ISBI
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
2016 — conf
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
MICCAI (1)
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
2016 — conf
Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons.
ISBI
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
2016 J jnl
Supervised within-class-similar discriminative dictionary learning for face recognition.
J. Vis. Commun. Image Represent.
Lele Xu, Xia Wu, Kewei Chen, Li Yao
2015 J jnl
Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.
Comput. Methods Programs Biomed.
Lele Xu, Xia Wu, Kewei Chen, Li Yao
2015 J jnl
Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry.
NeuroImage
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
2014 J jnl
A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data.
Frontiers Comput. Neurosci.
Lele Xu, Tingting Fan, Xia Wu, Kewei Chen, Xiaojuan Guo, Jiacai Zhang, Li Yao
2014 J jnl
Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks.
Frontiers Comput. Neurosci.
Xiaojuan Guo, Yan Wang, Kewei Chen, Xia Wu, Jiacai Zhang, Ke Li, Zhen Jin, Li Yao
2013 J jnl
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2013 J jnl
Fat-free body mass but not fat mass is associated with reduced gray matter volume of cortical brain regions implicated in autonomic and homeostatic regulation.
NeuroImage
Christopher M. Weise, Pradeep Thiyyagura, Eric Reiman, Kewei Chen, Jonathan Krakoff
2013 J jnl
Improved Estimation of the Number of Independent Components for Functional Magnetic Resonance Data by a Whitening Filter.
IEEE J. Biomed. Health Informatics
Mingqi Hui, Rui Li, Kewei Chen, Zhen Jin, Li Yao, Zhi-ying Long
2013 J jnl
The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xia Wu, Juan Li, Napatkamon Ayutyanont, Hillary Protas, William J. Jagust, Adam Fleisher, Eric Reiman, Li Yao, Kewei Chen
2012 J jnl
Correlations between FDG PET glucose uptake-MRI gray matter volume scores and apolipoprotein E ε4 gene dose in cognitively normal adults: A cross-validation study using voxel-based multi-modal partial least squares.
NeuroImage
Kewei Chen, Napatkamon Ayutyanont, Jessica B. S. Langbaum, Adam Fleisher, Cole Reschke, Wendy Lee, Xiaofen Liu, Gene E. Alexander, Daniel Bandy, Richard J. Caselli, Eric Reiman
2012 J jnl
Postprandial plasma PYY concentrations are associated with increased regional gray matter volume and rCBF declines in caudate nuclei - A combined MRI and H
NeuroImage
Christopher M. Weise, Pradeep Thiyyagura, Eric Reiman, Kewei Chen, Jonathan Krakoff
2012 J jnl
Wavelet-Based De-noising of Positron Emission Tomography Scans.
J. Sci. Comput.
Wolfgang Stefan, Kewei Chen, Hongbin Guo, Rosemary A. Renaut, Svetlana Roudenko
2011 J jnl
Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry.
NeuroImage
Xue Hua, Boris Gutman, Christina P. Boyle, Priya Rajagopalan, Alex D. Leow, Igor Yanovsky, Anand R. Kumar, Arthur W. Toga, Clifford R. Jack Jr., Norbert Schuff, Gene E. Alexander, Kewei Chen, Eric Reiman, Michael W. Weiner, Paul M. Thompson
2011 J jnl
Association between GAB2 haplotype and higher glucose metabolism in Alzheimer's disease-affected brain regions in cognitively normal APOEε4 carriers.
NeuroImage
Winnie S. Liang, Kewei Chen, Wendy Lee, Kunal Sidhar, Jason J. Corneveaux, April N. Allen, Amanda Myers, Stephen Villa, Bessie Meechoovet, Jeremy Pruzin, Daniel Bandy, Adam Fleisher, Jessica B. S. Langbaum, Matthew J. Huentelman, Kendall Jensen, Travis Dunckley, Richard J. Caselli, Susan Kaib, Eric Reiman
2011 A* conf
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
KDD
Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2011 J jnl
Characterizing Alzheimer's disease using a hypometabolic convergence index.
NeuroImage
Kewei Chen, Napatkamon Ayutyanont, Jessica B. S. Langbaum, Adam Fleisher, Cole Reschke, Wendy Lee, Xiaofen Liu, Daniel Bandy, Gene E. Alexander, Paul M. Thompson, Leslie M. Shaw, John Q. Trojanowski, Clifford R. Jack Jr., Susan M. Landau, Norman L. Foster, Danielle J. Harvey, Michael W. Weiner, Robert A. Koeppe, William J. Jagust, Eric Reiman
2011 J jnl
Corrigendum to "Association between GAB2 haplotype and higher glucose metabolism in Alzheimer's disease-affected brain regions in cognitively normal APOEε4 carriers" [NeuroImage 54/3 (2011) 1896-1902].
NeuroImage
Winnie S. Liang, Kewei Chen, Wendy Lee, Kunal Sidhar, Jason J. Corneveaux, April N. Allen, Amanda Myers, Stephen Villa, Bessie Meechoovet, Jeremy Pruzin, Daniel Bandy, Adam Fleisher, Jessica B. S. Langbaum, Matthew J. Huentelman, Kendall Jensen, Travis Dunckley, Richard J. Caselli, Susan Kaib, Eric Reiman
2011 — conf
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
NIPS
Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman
2011 J jnl
Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study.
NeuroImage
Rui Li, Kewei Chen, Adam Fleisher, Eric Reiman, Li Yao, Xia Wu
2011 J jnl
Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
Computer
Jieping Ye, Teresa Wu, Jing Li, Kewei Chen
2010 J jnl
Age-related networks of regional covariance in MRI gray matter: Reproducible multivariate patterns in healthy aging.
NeuroImage
Kaitlin L. Bergfield, Krista D. Hanson, Kewei Chen, Stefan J. Teipel, Harald Hampel, Stanley I. Rapoport, James R. Moeller, Gene E. Alexander
2010 J jnl
Higher serum total cholesterol levels in late middle age are associated with glucose hypometabolism in brain regions affected by Alzheimer's disease and normal aging.
NeuroImage
Eric Reiman, Kewei Chen, Jessica B. S. Langbaum, Wendy Lee, Cole Reschke, Daniel Bandy, Gene E. Alexander, Richard J. Caselli
2010 J jnl
Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems.
NeuroImage
Jason F. Smith, Ajay S. Pillai, Kewei Chen, Barry Horwitz
2010 J jnl
Imaging systems level consolidation of novel associate memories: A longitudinal neuroimaging study.
NeuroImage
Jason F. Smith, Gene E. Alexander, Kewei Chen, Fatima T. Husain, Jieun Kim, Nathan Pajor, Barry Horwitz
2010 J jnl
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage
Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman
2010 J jnl
Twelve-month metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment assessed using an empirically pre-defined statistical region-of-interest: Findings from the Alzheimer's Disease Neuroimaging Initiative.
NeuroImage
Kewei Chen, Jessica B. S. Langbaum, Adam Fleisher, Napatkamon Ayutyanont, Cole Reschke, Wendy Lee, Xiaofen Liu, Daniel Bandy, Gene E. Alexander, Paul M. Thompson, Norman L. Foster, Danielle J. Harvey, Mony J. de Leon, Robert A. Koeppe, William J. Jagust, Michael W. Weiner, Eric Reiman
2009 J jnl
Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
NeuroImage
Jessica B. S. Langbaum, Kewei Chen, Wendy Lee, Cole Reschke, Daniel Bandy, Adam Fleisher, Gene E. Alexander, Norman L. Foster, Michael W. Weiner, Robert A. Koeppe, William J. Jagust, Eric Reiman, Alzheimer's Disease Neuroimaging Initiative
2009 J jnl
Corrigendum to "Neural correlates of heart rate variability during emotion" [NeuroImage 44 (2009) 213-222].
NeuroImage
Richard D. Lane, Kateri McRae, Eric Reiman, Kewei Chen, Geoffrey L. Ahern, Julian F. Thayer
2009 J jnl
FDG-PET parametric imaging by total variation minimization.
Comput. Medical Imaging Graph.
Hongbin Guo, Rosemary A. Renaut, Kewei Chen, Eric Reiman
2009 — conf
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
NIPS
Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye
2009 J jnl
Linking functional and structural brain images with multivariate network analyses: A novel application of the partial least square method.
NeuroImage
Kewei Chen, Eric Reiman, Zhongdan Huan, Richard J. Caselli, Daniel Bandy, Napatkamon Ayutyanont, Gene E. Alexander
2009 A* conf
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
KDD
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye
2009 J jnl
Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis.
NeuroImage
Xia Wu, Jie Lu, Kewei Chen, Zhi-ying Long, Xiaoyi Wang, Hua Shu, Kuncheng Li, Yijun Liu, Li Yao
2009 J jnl
Neural correlates of heart rate variability during emotion.
NeuroImage
Richard D. Lane, Kateri McRae, Eric Reiman, Kewei Chen, Geoffrey L. Ahern, Julian F. Thayer
2009 J jnl
Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups.
NeuroImage
Adam Fleisher, Ayesha Sherzai, Curtis Taylor, Jessica B. S. Langbaum, Kewei Chen, Richard B. Buxton
2008 J jnl
Association between trait emotional awareness and dorsal anterior cingulate activity during emotion is arousal-dependent.
NeuroImage
Kateri McRae, Eric Reiman, Carolyn L. Fort, Kewei Chen, Richard D. Lane
2008 J jnl
Cholesterol-related genetic risk scores are associated with hypometabolism in Alzheimer's-affected brain regions.
NeuroImage
Eric Reiman, Kewei Chen, Richard J. Caselli, Gene E. Alexander, Daniel Bandy, Jennifer L. Adamson, Wendy Lee, Ashley Cannon, Elizabeth A. Stephan, Dietrich A. Stephan, Andreas Papassotiropoulos
2008 A* conf
Heterogeneous data fusion for alzheimer's disease study.
KDD
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman
2008 J jnl
Interpreting scan data acquired from multiple scanners: A study with Alzheimer's disease.
NeuroImage
Cynthia M. Stonnington, Geoffrey C. Y. Tan, Stefan Klöppel, Carlton Chu, Bogdan Draganski, Clifford R. Jack Jr., Kewei Chen, John Ashburner, Richard S. J. Frackowiak
2007 — conf
Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image.
Computer-Aided Diagnosis
Zifan Cai, Qian Di, Kewei Chen, Eric M. Reiman, Liang Wang, Kuncheng Li, Jie Tang, Li Yao, Xiao-Jie Zhao
2007 J jnl
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
Nicola Pannacciulli, Duc Son N. T. Le, Arline D. Salbe, Kewei Chen, Eric M. Reiman, Pietro A. Tataranni, Jonathan Krakoff
2007 B conf
Validation of voxel-based morphometry (VBM) based on MRI.
Image Processing
Xueyu Yang, Kewei Chen, Xiaojuan Guo, Li Yao
2006 B conf
A new post-processing method of applying independent component analysis to fMRI data.
Image Processing
Xia Wu, Zhi-ying Long, Li Yao, Kewei Chen
2006 B conf
An automated normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display.
Image Processing
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
2006 J jnl
Brain abnormalities in human obesity: A voxel-based morphometric study.
NeuroImage
Nicola Pannacciulli, Angelo Del Parigi, Kewei Chen, Duc Son N. T. Le, Eric M. Reiman, Pietro A. Tataranni
2006 J jnl
Network analysis of single-subject fMRI during a finger opposition task.
NeuroImage
Jason F. Smith, Kewei Chen, Sterling C. Johnson, Jeannine Morrone-Strupinsky, Eric M. Reiman, Ann Nelson, James R. Moeller, Gene E. Alexander
2005 B conf
Constructing and assessing brain templates from Chinese pediatric MRI data using SPM.
Image Processing
Qingjie Yin, Qing Ye, Li Yao, Kewei Chen, Zhen Jin, Gang Liu, Xingchun Wu, Tingting Wang
2005 J jnl
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
Angelo Del Parigi, Kewei Chen, Arline D. Salbe, Eric M. Reiman, P. Antonio Tataranni
2004 J jnl
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
Kewei Chen, Eric M. Reiman, Gene E. Alexander, Daniel Bandy, Rosemary A. Renaut, William R. Crum, Nick C. Fox, Martin Rossor
2003 J jnl
Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method.
NeuroImage
Rick Archibald, Kewei Chen, Anne Gelb, Rosemary A. Renaut
2002 J jnl
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
J. Valla, Kewei Chen, J. D. Berndt, F. Gonzalez-Lima, Simon R. Cherry, D. Games, Eric M. Reiman
2000 J jnl
Optimal Image Sampling Schedule for Both Image-derived Input and Output Functions in PET Cardiac Studies.
IEEE Trans. Medical Imaging
Xianjin Li, David Dagan Feng, Kewei Chen
1998 J jnl
Generalized Linear Least Square Method for Fast Generation of Myocardial Blood Flow Parametrick Images with N-13 Ammonia PET.
IEEE Trans. Medical Imaging
Kewei Chen, Michael Lawson, Eric Reiman, Alan Cooper, David Dagan Feng, Sung-Cheng Huang, Daniel Bandy, Dino Ho, Lang-sheng Yun, Anita Palant
1997 J jnl
Dynamic image data compression in spatial and temporal domains: theory and algorithm.
IEEE Trans. Inf. Technol. Biomed.
Dino Ho, David Dagan Feng, Kewei Chen
1996 J jnl
Optimal image sampling schedule: a new effective way to reduce dynamic image storage space and functional image processing time.
IEEE Trans. Medical Imaging
Xianjin Li, Dagan Feng, Kewei Chen
1995 J jnl
An evaluation of the algorithms for determining local cerebral metabolic rates of glucose using positron emission tomography dynamic data.
IEEE Trans. Medical Imaging
Dagan Feng, Dino Ho, Kewei Chen, Liang-Chih Wu, Jiunn-Kuen Wang, Ren-Shyan Liu, Shin-Hwa Yeh