Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. - Bo Cheng 006; Daoqiang Zhang; Songcan Chen; Dinggang Shen (MLMI, 2011)

Domain Transfer Learning for MCI Conversion Prediction. - Bo Cheng 006; Daoqiang Zhang; Dinggang Shen (MICCAI (1), 2012)

Groupwise Segmentation Improves Neuroimaging Classification Accuracy. - Yaping Wang; Hongjun Jia; Pew-Thian Yap; Bo Cheng 006; Chong-Yaw Wee; Lei Guo 002; Dinggang Shen (MBIA, 2012)

Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. - Bo Cheng 006; Daoqiang Zhang; Biao Jie; Dinggang Shen (MLMI, 2013)

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. - Biao Jie; Daoqiang Zhang; Bo Cheng 006; Dinggang Shen (MICCAI (1), 2013)

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers. - Bo Cheng 006; Daoqiang Zhang; Songcan Chen; Daniel Kaufer; Dinggang Shen (Neuroinformatics, 2013)

Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. - Bo Cheng 006; Mingxia Liu 001; Daoqiang Zhang (MLMI, 2015)

Domain Transfer Learning for MCI Conversion Prediction. - Bo Cheng 006; Mingxia Liu 001; Daoqiang Zhang; Brent C. Munsell; Dinggang Shen (IEEE Trans. Biomed. Eng., 2015)

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. - Bo Cheng 006; Mingxia Liu 001; Dinggang Shen; Zuoyong Li; Daoqiang Zhang (Neuroinformatics, 2017)