Jing Wan
Jing Wan
Purdue University
Verified email at statefarm.com
Title
Cited by
Cited by
Year
Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer’s Disease
J Wan, Z Zhang, J Yan, T Li, BD Rao, S Fang
IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2012
772012
Identifying the neuroanatomical basis of cognitive impairment in Alzheimer’s disease by correlation-and nonlinearity-aware sparse Bayesian learning
J Wan, Z Zhang, B Rao, S Fang, J Yan, A Saykin, L Shen
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2014
522014
Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net
L Shen, S Kim, Y Qi, M Inlow, S Swaminathan, K Nho, J Wan, S Risacher, ...
Multimodal Brain Image Analysis, 27-34, 2011
512011
An Iris Image Quality Assessment Method Based on Laplacian of Gaussian Operation.
J Wan, X He, P Shi
MVA, 248-251, 2007
442007
Cortical surface biomarkers for predicting cognitive outcomes using group l2, 1 norm
J Yan, T Li, H Wang, H Huang, J Wan, K Nho, S Kim, SL Risacher, ...
Neurobiology of aging 36, S185-S193, 2015
342015
Hippocampal surface mapping of genetic risk factors in AD via sparse learning models
J Wan, S Kim, M Inlow, K Nho, S Swaminathan, S Risacher, S Fang, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011, 376-383, 2011
332011
Sparse bayesian learning for identifying imaging biomarkers in AD prediction
L Shen, Y Qi, S Kim, K Nho, J Wan, S Risacher, A Saykin
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 611-618, 2010
292010
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning
J Yan, S Risacher, S Kim, J Simon, T Li, J Wan, H Wang, H Huang, ...
Multimodal Brain Image Analysis, 1-17, 2012
82012
A flexible fully-multiplicative orthogonal-group based ICA algorithm
Y Ye, J Wan, ZL Zhang, C Jia, W Lei
Computational Intelligence and Bioinformatics and Computational Biology …, 2007
62007
A framework for 3D analysis of facial morphology in fetal alcohol syndrome
J Wan, L Shen, S Fang, J McLaughlin, I Autti-Rämö, Å Fagerlund, E Riley, ...
Medical Imaging and Augmented Reality, 118-127, 2010
52010
二维条码的编解码及系统实现
万菁
上海: 上海交通大, 2007
52007
Hippocampus as a predictor of cognitive performance: comparative evaluation of analytical methods and morphometric measures
T Li, J Wana, Z Zhang, J Yan, S Kim, SL Risacher, S Fang, MF Beg, ...
MICCAI Workshop on Novel Imaging Biomarkers for Alzheimer’s Disease and …, 2012
42012
Fourier methods for 3D surface modeling and analysis
L Shen, S Kim, J Wan, JD West, AJ Saykin
Emerging Topics in Computer Vision and Its Applications, 175-196, 2012
32012
IC‐P‐106: Sparse Bayesian learning for identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease
J Wan, Z Zhang, S Fang, S Risacher, A Saykin, L Shen, ...
Alzheimer's & Dementia 9, P62-P63, 2013
2013
Pattern analysis of morphometric features from biomedical image data
J Wan
Purdue University, 2013
2013
Identification of novel cortical surface biomarkers for predicting cognitive outcomes based on group-level c2, norm
J Yan, T Li, H Wang, H Huang, J Wan, K Nho, S Kim, SL Risacher, ...
NIBAD'12, 207, 2012
2012
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease
L Shen, AJ Saykin, SL Risacher, S Kim, S Fang, BD Rao, T Li, J Yan, ...
2012 IEEE Conference on Computer Vision and Pattern Recognition, 940-947, 2012
2012
The relationship of thalamic volume and shape to pain in relapsing-remitting multiple sclerosis
K Sheehan, H Wishart, R Roth, L Shen, J Wan, J MacDonald, J Ford, ...
MULTIPLE SCLEROSIS 15 (9), S212-S212, 2009
2009
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Articles 1–18