Social Trust Prediction Using Heterogeneous Networks

Por HUANG, JIN, NIE, FEIPING, HUANG, HENG, TU, YI-CHENG, LEI, YU
Publicado em 2013

A generative probability model of joint label fusion for multi-atlas based brain segmentation

Por Wu, Guorong, Wang, Qian, Zhang, Daoqiang, Nie, Feiping, Huang, Heng, Shen, Dinggang
Publicado em 2013

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion

Por Wu, Guorong, Wang, Qian, Liao, Shu, Zhang, Daoqiang, Nie, Feiping, Shen, Dinggang
Publicado em 2013

Two-dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis

Por Shi, Xiaoshuang, Guo, Zhenhua, Nie, Feiping, Yang, Lin, You, Jane, Tao, Dacheng
Publicado no IEEE Trans Pattern Anal Mach Intell (2015)

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression

Por Wang, Hua, Nie, Feiping, Huang, Heng, Risacher, Shannon, Saykin, Andrew J, Shen, Li
Publicado em 2011

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning

Por Wang, Hua, Nie, Feiping, Huang, Heng, Risacher, Shannon L., Saykin, Andrew J., Shen, Li
Publicado em 2012

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning

Por Wang, Zhengxia, Zhu, Xiaofeng, Adeli, Ehsan, Zhu, Yingying, Nie, Feiping, Munsell, Brent, Wu, Guorong
Publicado no Med Image Anal (2017)

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis

Por Huang, Heng, Yan, Jingwen, Nie, Feiping, Huang, Jin, Cai, Weidong, Saykin, Andrew J., Shen, Li
Publicado em 2013

Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance

Por Wang, Hua, Nie, Feiping, Huang, Heng, Risacher, Shannon, Ding, Chris, Saykin, Andrew J, Shen, Li
Publicado em 2011

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions

Por Wang, De, Nie, Feiping, Huang, Heng, Yan, Jingwen, Risacher, Shannon L., Saykin, Andrew J., Shen, Li
Publicado em 2013

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease

Por Wang, Zhengxia, Zhu, Xiaofeng, Adeli, Ehsan, Zhu, Yingying, Zu, Chen, Nie, Feiping, Shen, Dinggang, Wu, Guorong
Publicado no Med Image Comput Comput Assist Interv (2016)

Human Connectome Module Pattern Detection Using A New Multi-Graph MinMax Cut Model

Por Wang, De, Wang, Yang, Nie, Feiping, Yan, Jingwen, Cai, Weidong, Saykin, Andrew J., Shen, Li, Huang, Heng
Publicado em 2014

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort

Por Wang, Hua, Nie, Feiping, Huang, Heng, Kim, Sungeun, Nho, Kwangsik, Risacher, Shannon L., Saykin, Andrew J., Shen, Li
Publicado em 2012

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs

Por Wang, Hua, Nie, Feiping, Huang, Heng, Yan, Jingwen, Kim, Sungeun, Nho, Kwangsik, Risacher, Shannon L., Saykin, Andrew J., Shen, Li
Publicado em 2012

Identifying Connectome Module Patterns via New Balanced Multi-Graph Normalized Cut

Por Gao, Hongchang, Cai, Chengtao, Yan, Jingwen, Yan, Lin, Cortes, Joaquin Goni, Wang, Yang, Nie, Feiping, West, John, Saykin, Andrew, Shen, Li, Huang, Heng
Publicado no Med Image Comput Comput Assist Interv (2015)