| Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment | 0 | 0.34 | 2021 |
| Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data - Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data. | 0 | 0.34 | 2021 |
| Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder | 0 | 0.34 | 2021 |
| Identifying Configurational Abnormalities in Alzheimer’S Disease Progression Using Multi-View Structure Connectome | 0 | 0.34 | 2019 |
| Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference from fMRI Data. | 3 | 0.37 | 2019 |
| A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. | 0 | 0.34 | 2019 |
| Analyzing Mild Cognitive Impairment Progression Via Multi-View Structural Learning | 0 | 0.34 | 2019 |
| Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning | 0 | 0.34 | 2019 |
| Discovering hierarchical common brain networks via multimodal deep belief network. | 2 | 0.37 | 2019 |
| Exploring Latent Structures Of Alzheimer'S Disease Via Structure Learning | 0 | 0.34 | 2018 |
| Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. | 0 | 0.34 | 2018 |
| Efficient Test-Time Predictor Learning With Group-Based Budget. | 0 | 0.34 | 2018 |
| Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. | 0 | 0.34 | 2017 |
| Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. | 1 | 0.35 | 2017 |
| Embedded sparse representation of fMRI data via group-wise dictionary optimization. | 0 | 0.34 | 2016 |
| Population Learning Of Structural Connectivity By White Matter Encoding And Decoding | 1 | 0.35 | 2016 |
| Group-wise consistent cortical parcellation based on connectional profiles. | 1 | 0.35 | 2016 |
| Anatomy-guided Dense Individualized and Common Connectivity-based Cortical Landmarks (A-DICCCOL). | 2 | 0.40 | 2015 |
| Sparse representation of whole-brain fMRI signals for identification of functional networks. | 37 | 1.51 | 2015 |
| Genetic Analysis Of Structural Brain Connectivity Using Dicccol Models Of Diffusion Mri In 522 Twins | 0 | 0.34 | 2015 |
| Towards Robust and Specific Causal Discovery from fMRI | 0 | 0.34 | 2015 |
| Heritability Of Brain Network Topology In 853 Twins And Siblings | 1 | 0.38 | 2015 |
| Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function. | 38 | 1.85 | 2015 |
| Integrating group-wise functional brain activities via point processes | 0 | 0.34 | 2014 |
| Group-wise FMRI activation detection on DICCCOL landmarks. | 0 | 0.34 | 2014 |
| Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia. | 1 | 0.40 | 2014 |
| Group-wise connection activation detection based on DICCCOL | 0 | 0.34 | 2014 |
| Group-wise optimization and individualized prediction of structural connectomes | 1 | 0.41 | 2014 |
| Group-wise consistent cortical parcellation based on DTI-derived connectional profiles. | 1 | 0.38 | 2014 |
| Generalized fMRI activation detection via Bayesian magnitude change point model | 1 | 0.37 | 2014 |
| Intrinsic Functional Component Analysis Via Sparse Representation On Alzheimer'S Disease Neuroimaging Initiative Database | 2 | 0.38 | 2014 |
| Sparse representation of working memory processes based on fMRI data | 0 | 0.34 | 2014 |
| Group-wise optimization of common brain landmarks with joint structural and functional regulations. | 0 | 0.34 | 2014 |
| Discovering network-level functional interactions from working memory fMRI data | 0 | 0.34 | 2014 |
| Fusing DTI and fMRI data: A survey of methods and applications. | 17 | 0.88 | 2014 |
| Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model | 4 | 0.54 | 2014 |
| Decoding Auditory Saliency from FMRI Brain Imaging | 1 | 0.35 | 2014 |
| Dynamic network partition via Bayesian connectivity bi-partition change point model | 1 | 0.37 | 2014 |
| Exploring functional brain dynamics via a Bayesian connectivity change point model | 6 | 0.65 | 2014 |
| Predictive models of resting state networks for assessment of altered functional connectivity in MCI. | 0 | 0.34 | 2013 |
| Representing and retrieving video shots in human-centric brain imaging space. | 40 | 1.16 | 2013 |
| Meta-analysis of functional roles of DICCCOLs. | 9 | 1.15 | 2013 |
| Construction of multi-scale brain networks via DICCCOL landmarks | 1 | 0.36 | 2013 |
| FMRI signal analysis using empirical mean curve decomposition. | 5 | 0.47 | 2013 |
| Identifying functional connectomics abnormality in attention deficit hyperactivity disorder | 0 | 0.34 | 2013 |
| Discovering common functional connectomics signatures | 0 | 0.34 | 2013 |
| Sparse representation of higher-order functional interaction patterns in task-based FMRI data. | 8 | 0.47 | 2013 |
| Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection | 0 | 0.34 | 2013 |
| Anatomy-guided discovery of large-scale consistent connectivity-based cortical landmarks. | 0 | 0.34 | 2013 |
| Group-wise FMRI activation detection on corresponding cortical landmarks. | 0 | 0.34 | 2013 |
