| 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 | 101 | 2012 |
| 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 | 72 | 2014 |
| 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 | 69 | 2011 |
| An Iris Image Quality Assessment Method Based on Laplacian of Gaussian Operation. J Wan, X He, P Shi MVA, 248-251, 2007 | 57 | 2007 |
| 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 | 53 | 2015 |
| 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 | 37 | 2011 |
| 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 | 33 | 2010 |
| 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 | 11 | 2012 |
| 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 | 9 | 2010 |
| 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 | 7 | 2007 |
| 二维条码的编解码及系统实现 万菁 上海: 上海交通大学, 2007 | 6 | 2007 |
| 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 | 5 | 2012 |
| 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 | 4 | 2012 |
| P3–079: 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, P578-P579, 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 |
Li ShenProfessor of Informatics and Radiology, University of Pennsylvania Perelman School of Medicine在 pennmedicine.upenn.edu 的电子邮件经过验证
