Jie Zhang - Publications

Affiliations: 
Arizona State University, Tempe, AZ, United States 
Area:
Computer Science

22 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Wu J, Dong Q, Zhang J, Su Y, Wu T, Caselli RJ, Reiman EM, Ye J, Lepore N, Chen K, Thompson PM, Wang Y. Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology. Frontiers in Neuroscience. 15: 762458. PMID 34899166 DOI: 10.3389/fnins.2021.762458  0.475
2021 Wu J, Dong Q, Gui J, Zhang J, Su Y, Chen K, Thompson PM, Caselli RJ, Reiman EM, Ye J, Wang Y. 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. PMID 34421510 DOI: 10.3389/fnins.2021.669595  0.502
2021 Zhang J, Wu J, Li Q, Caselli RJ, Thompson PM, Ye J, Wang Y. Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline with Longitudinal Brain Images. Ieee Transactions On Medical Imaging. PMID 33798076 DOI: 10.1109/TMI.2021.3070780  0.473
2021 Stonnington CM, Wu J, Zhang J, Shi J, Bauer Iii RJ, Devadas V, Su Y, Locke DEC, Reiman EM, Caselli RJ, Chen K, Wang Y. Improved Prediction of Imminent Progression to Clinically Significant Memory Decline Using Surface Multivariate Morphometry Statistics and Sparse Coding. Journal of Alzheimer's Disease : Jad. PMID 33749642 DOI: 10.3233/JAD-200821  0.482
2021 Zhang J, Dong Q, Shi J, Li Q, Stonnington CM, Gutman BA, Chen K, Reiman EM, Caselli RJ, Thompson PM, Ye J, Wang Y. Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Analysis. 70: 102009. PMID 33711742 DOI: 10.1016/j.media.2021.102009  0.494
2020 Zhang J, Wang Y. TEMPORALLY ADAPTIVE-DYNAMIC SPARSE NETWORK FOR MODELING DISEASE PROGRESSION. Proceedings. Ieee International Symposium On Biomedical Imaging. 2020. PMID 34012506 DOI: 10.1109/isbi45749.2020.9098321  0.473
2020 Wu J, Zhang J, Li Q, Su Y, Chen K, Reiman EM, Wang J, Lepore N, Ye J, Thompson PM, Wang Y. Patch-Based Surface Morphometry Feature Selection with Federated Group Lasso Regression. Proceedings of Spie--the International Society For Optical Engineering. 11583. PMID 33250550 DOI: 10.1117/12.2575984  0.488
2020 Fu Y, Zhang J, Li Y, Shi J, Zou Y, Guo H, Li Y, Yao Z, Wang Y, Hu B. 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. PMID 32512131 DOI: 10.1016/J.Pnpbp.2020.109989  0.51
2020 Dong Q, Zhang J, Li Q, Wang J, Leporé N, Thompson PM, Caselli RJ, Ye J, Wang Y. Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images. Journal of Alzheimer's Disease : Jad. PMID 32390615 DOI: 10.3233/Jad-190973  0.512
2019 Zhang J, Wang Y. Continually Modeling Alzheimer's Disease Progression via Deep Multi-Order Preserving Weight Consolidation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11765: 850-859. PMID 34378008 DOI: 10.1007/978-3-030-32245-8_94  0.484
2019 Dong Q, Zhang J, Li Q, Thompson PM, Caselli RJ, Ye J, Wang Y. Multi-task Dictionary Learning based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. Human Brain and Artificial Intelligence : First International Workshop, Hbai 2019, Held in Conjunction With Ijcai 2019, Macao, China, August 12, 2019, Revised Selected Papers. Hbai (Conference) (1st : 2019 : Macau, China). 1072: 21-35. PMID 33907742 DOI: 10.1007/978-981-15-1398-5_2  0.495
2019 Wang X, Zhou W, Ye T, Lin X, Zhang J. The Relationship Between Hippocampal Volumes and Delayed Recall Is Modified by APOE ε4 in Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 11: 36. PMID 30863302 DOI: 10.3389/Fnagi.2019.00036  0.327
2018 Tu Y, Wen C, Zhang W, Wu J, Zhang J, Chen K, Caselli RJ, Reiman EM, Reiman EM, Wang Y. Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 427-4631. PMID 30440425 DOI: 10.1109/EMBC.2018.8513129  0.505
2018 Wu J, Zhang J, Shi J, Chen K, Caselli RJ, Reiman EM, Wang Y. HIPPOCAMPUS MORPHOMETRY STUDY ON PATHOLOGY-CONFIRMED ALZHEIMER'S DISEASE PATIENTS WITH SURFACE MULTIVARIATE MORPHOMETRY STATISTICS. Proceedings. Ieee International Symposium On Biomedical Imaging. 2018: 1555-1559. PMID 30123414 DOI: 10.1109/ISBI.2018.8363870  0.499
2018 Zhang J, Tu Y, Li Q, Caselli RJ, Thompson PM, Ye J, Wang Y. MULTI-TASK SPARSE SCREENING FOR PREDICTING FUTURE CLINICAL SCORES USING LONGITUDINAL CORTICAL THICKNESS MEASURES. Proceedings. Ieee International Symposium On Biomedical Imaging. 2018: 1406-1410. PMID 30023040 DOI: 10.1109/ISBI.2018.8363835  0.462
2017 Zhang J, Fan Y, Li Q, Thompson PM, Ye J, Wang Y. EMPOWERING CORTICAL THICKNESS MEASURES IN CLINICAL DIAGNOSIS OF ALZHEIMER'S DISEASE WITH SPHERICAL SPARSE CODING. Proceedings. Ieee International Symposium On Biomedical Imaging. 2017: 446-450. PMID 28959379 DOI: 10.1109/ISBI.2017.7950557  0.504
2017 Zhang J, Li Q, Caselli RJ, Thompson PM, Ye J, Wang Y. Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline. Information Processing in Medical Imaging : Proceedings of the ... Conference. 10265: 184-197. PMID 28943731 DOI: 10.1007/978-3-319-59050-9_15  0.429
2017 Zhang J, Wang Y, Li Q, Shi J, Bauer R, Reiman EM, Caselli RJ, Chen K, Stonnington CM. Improved Prediction Of Progression To Clinical Stages Of Alzheimer’S Disease Using Multivariate Surface Morphometry Of Mri Biomarkers And Patch-Based Sparse Coding Alzheimers & Dementia. 13: 1532. DOI: 10.1016/J.Jalz.2017.07.665  0.497
2016 Zhang J, Shi J, Stonnington C, Li Q, Gutman BA, Chen K, Reiman EM, Caselli RJ, Thompson PM, Ye J, Wang Y. Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9900: 326-334. PMID 28066843 DOI: 10.1007/978-3-319-46720-7_38  0.486
2016 Zhang J, Stonnington C, Li Q, Shi J, Bauer RJ, Gutman BA, Chen K, Reiman EM, Thompson PM, Ye J, Wang Y. APPLYING SPARSE CODING TO SURFACE MULTIVARIATE TENSOR-BASED MORPHOMETRY TO PREDICT FUTURE COGNITIVE DECLINE. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2016: 646-650. PMID 27499829 DOI: 10.1109/ISBI.2016.7493350  0.526
2016 Zhang J, Wang Y, Li Q, Shi J, Bauer R, Chen K, Reiman EM, Caselli RJ, Stonnington CM. Patch-Based Sparse Coding And Multivariate Surface Morphometry For Predicting Amnestic Mild Cognitive Impairment And Alzheimer’S Disease In Cognitively Unimpaired Individuals Alzheimers & Dementia. 12: 947. DOI: 10.1016/J.Jalz.2016.06.1939  0.478
2010 Wang Y, Zhang J, Gutman B, Chan TF, Becker JT, Aizenstein HJ, Lopez OL, Tamburo RJ, Toga AW, Thompson PM. Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS. Neuroimage. 49: 2141-57. PMID 19900560 DOI: 10.1016/J.Neuroimage.2009.10.086  0.395
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