Articles with public access mandates - Jie (Joena) ZhangLearn more
Available somewhere: 19
Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS
Y Wang, J Zhang, B Gutman, TF Chan, JT Becker, HJ Aizenstein, ...
NeuroImage 49 (3), 2141-2157, 2010
Mandates: US National Institutes of Health
A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder
Y Fu, J Zhang, Y Li, J Shi, Y Zou, H Guo, Y Li, Z Yao, Y Wang, B Hu
Progress in Neuro-Psychopharmacology and Biological Psychiatry 104, 109989, 2021
Mandates: US National Institutes of Health, National Natural Science Foundation of China
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline
J Zhang, C Stonnington, Q Li, J Shi, RJ Bauer, BA Gutman, K Chen, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 646-650, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics
J Wu, J Zhang, J Shi, K Chen, RJ Caselli, EM Reiman, Y Wang
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Multi-source multi-target dictionary learning for prediction of cognitive decline
J Zhang, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
Information Processing in Medical Imaging: 25th International Conference …, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Predicting brain amyloid using multivariate morphometry statistics, sparse coding, and correntropy: validation in 1,101 individuals from the ADNI and OASIS databases
J Wu, Q Dong, J Gui, J Zhang, Y Su, K Chen, PM Thompson, RJ Caselli, ...
Frontiers in Neuroscience 15, 669595, 2021
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
Hyperbolic space sparse coding with its application on prediction of Alzheimer’s disease in mild cognitive impairment
J Zhang, J Shi, C Stonnington, Q Li, BA Gutman, K Chen, EM Reiman, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding
J Zhang, Y Fan, Q Li, PM Thompson, J Ye, Y Wang
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images
Q Dong, J Zhang, Q Li, J Wang, N Leporé, PM Thompson, RJ Caselli, ...
Journal of Alzheimer's Disease, 1-22, 2019
Mandates: US National Science Foundation, US Department of Defense, US National …
Continually modeling Alzheimer’s disease progression via deep multi-order preserving weight consolidation
J Zhang, Y Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Mandates: US National Institutes of Health
Federated morphometry feature selection for hippocampal morphometry associated beta-amyloid and tau pathology
J Wu, Q Dong, J Zhang, Y Su, T Wu, RJ Caselli, EM Reiman, J Ye, ...
Frontiers in Neuroscience 15, 762458, 2021
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
Multi-task dictionary learning based on convolutional neural networks for longitudinal clinical score predictions in Alzheimer’s disease
Q Dong, J Zhang, Q Li, PM Thompson, RJ Caselli, J Ye, Y Wang, ...
Human Brain and Artificial Intelligence: First International Workshop, HBAI …, 2019
Mandates: US National Science Foundation, US Department of Defense, US National …
Multi-resemblance multi-target low-rank coding for prediction of cognitive decline with longitudinal brain images
J Zhang, J Wu, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
IEEE transactions on medical imaging 40 (8), 2030-2041, 2021
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures
J Zhang, Y Tu, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Improved prediction of imminent progression to clinically significant memory decline using surface multivariate morphometry statistics and sparse coding
CM Stonnington, J Wu, J Zhang, J Shi, RJ Bauer III, V Devadas, Y Su, ...
Journal of Alzheimer's Disease 81 (1), 209-220, 2021
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
Patch-based surface morphometry feature selection with federated group lasso regression
J Wu, J Zhang, Q Li, Y Su, K Chen, EM Reiman, J Wang, N Lepore, J Ye, ...
16th International Symposium on Medical Information Processing and Analysis …, 2020
Mandates: US National Institutes of Health
Predicting future cognitive decline with hyperbolic stochastic coding
J Zhang, Q Dong, J Shi, Q Li, CM Stonnington, BA Gutman, K Chen, ...
Medical image analysis 70, 102009, 2021
Mandates: US National Science Foundation, US Department of Defense, US National …
Temporally adaptive-dynamic sparse network for modeling disease progression
J Zhang, Y Wang
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1900-1904, 2020
Mandates: US National Institutes of Health
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer’s Disease
Y Tu, C Wen, W Zhang, J Wu, J Zhang, K Chen, RJ Caselli, EM Reiman, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Mandates: US National Science Foundation, US National Institutes of Health
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