Statistical Evaluations of the Reproducibility and Reliability of 3-Tesla High Resolution Magnetization Transfer Brain Images: A Pilot Study on Healthy Subjects. - Kelly H. Zou; Hongyan Du; Shawn Sidharthan; Lisa M. DeTora; Yunmei Chen; Ann B. Ragin; Robert R. Edelman; Ying Wu (Int. J. Biomed. Imaging, 2010)

Abnormalities in Resting-State Functional Connectivity in Early Human Immunodeficiency Virus Infection. - Xue Wang; Paul Foryt; Renee Ochs; Jae-Hoon Chung; Ying Wu; Todd B. Parrish; Ann B. Ragin (Brain Connect., 2011)

Discriminative Feature Selection for Uncertain Graph Classification. - Xiangnan Kong; Ann B. Ragin; Xue Wang; Philip S. Yu (SDM, 2013)

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. - Bokai Cao; Lifang He 001; Xiangnan Kong; Philip S. Yu; Zhifeng Hao; Ann B. Ragin (ICDM, 2014)

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. - Lifang He 001; Xiangnan Kong; Philip S. Yu; Xiaowei Yang 003; Ann B. Ragin; Zhifeng Hao (SDM, 2014)

Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. - Bokai Cao; Xiangnan Kong; Jingyuan Zhang; Philip S. Yu; Ann B. Ragin (ICDM, 2015)

Identifying HIV-induced subgraph patterns in brain networks with side information. - Bokai Cao; Xiangnan Kong; Jingyuan Zhang; Philip S. Yu; Ann B. Ragin (Brain Informatics, 2015)

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. - Guixiang Ma; Lifang He 001; Bokai Cao; Jiawei Zhang 001; Philip S. Yu; Ann B. Ragin (ECML/PKDD (1), 2016)

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. - Guixiang Ma; Lifang He 001; Chun-Ta Lu; Philip S. Yu; Linlin Shen; Ann B. Ragin (SDM, 2016)

Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. - Jingyuan Zhang; Bokai Cao; Sihong Xie; Chun-Ta Lu; Philip S. Yu; Ann B. Ragin (SDM, 2016)

Multi-view Clustering with Graph Embedding for Connectome Analysis. - Guixiang Ma; Lifang He 001; Chun-Ta Lu; Weixiang Shao; Philip S. Yu; Alex D. Leow; Ann B. Ragin (CIKM, 2017)

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. - Lifang He 001; Chun-Ta Lu; Hao Ding 003; Shen Wang 005; Linlin Shen; Philip S. Yu; Ann B. Ragin (CVPR, 2017)

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. - Guixiang Ma; Chun-Ta Lu; Lifang He 001; Philip S. Yu; Ann B. Ragin (ICDM, 2017)

Kernelized Support Tensor Machines. - Lifang He 001; Chun-Ta Lu; Guixiang Ma; Shen Wang 005; LinLin Shen; Philip S. Yu; Ann B. Ragin (ICML, 2017)

Structural Deep Brain Network Mining. - Shen Wang 005; Lifang He 001; Bokai Cao; Chun-Ta Lu; Philip S. Yu; Ann B. Ragin (KDD, 2017)

A novel ensemble approach on regionalized neural networks for brain disorder prediction. - Lei Zheng 001; Jingyuan Zhang; Bokai Cao; Philip S. Yu; Ann B. Ragin (SAC, 2017)

Unified and Contrasting Graphical Lasso for Brain Network Discovery. - Xinyue Liu 003; Xiangnan Kong; Ann B. Ragin (SDM, 2017)

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. - Ye Liu 006; Lifang He 001; Bokai Cao; Philip S. Yu; Ann B. Ragin; Alex D. Leow (AAAI, 2018)

Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. - Jiahao Liu; Guixiang Ma; Fei Jiang; Chun-Ta Lu; Philip S. Yu; Ann B. Ragin (IEEE BigData, 2019)

TGNet: tensor-based graph convolutional networks for multimodal brain network analysis. - Zhaoming Kong; Rong Zhou; Xinwei Luo; Songlin Zhao; Ann B. Ragin; Alex D. Leow; Lifang He 001 (BioData Min., 2024)