| Adaptive sparse multiple canonical correlation analysis with application to imaging (epi) genomics study of schizophrenia W Hu, D Lin, S Cao, J Liu, J Chen, VD Calhoun, YP Wang IEEE Transactions on Biomedical Engineering 65 (2), 390-399, 2017 | 58 | 2017 |
| Deep collaborative learning with application to the study of multimodal brain development W Hu, B Cai, A Zhang, VD Calhoun, YP Wang IEEE Transactions on Biomedical Engineering 66 (12), 3346-3359, 2019 | 51 | 2019 |
| Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia G Li, D Han, C Wang, W Hu, VD Calhoun, YP Wang Computer methods and programs in biomedicine 183, 105073, 2020 | 48 | 2020 |
| Interpretable multimodal fusion networks reveal mechanisms of brain cognition W Hu, X Meng, Y Bai, A Zhang, G Qu, B Cai, G Zhang, TW Wilson, ... IEEE transactions on medical imaging 40 (5), 1474-1483, 2021 | 42 | 2021 |
| Deep learning in neuroimaging: Promises and challenges W Yan, G Qu, W Hu, A Abrol, B Cai, C Qiao, SM Plis, YP Wang, J Sui, ... IEEE Signal Processing Magazine 39 (2), 87-98, 2022 | 35 | 2022 |
| Multi-omics data integration for identifying osteoporosis biomarkers and their biological interaction and causal mechanisms C Qiu, F Yu, K Su, Q Zhao, L Zhang, C Xu, W Hu, Z Wang, L Zhao, Q Tian, ... Iscience 23 (2), 2020 | 34 | 2020 |
| Ensemble manifold regularized multi-modal graph convolutional network for cognitive ability prediction G Qu, L Xiao, W Hu, J Wang, K Zhang, VD Calhoun, YP Wang IEEE Transactions on Biomedical Engineering 68 (12), 3564-3573, 2021 | 31 | 2021 |
| Functional connectome fingerprinting: identifying individuals and predicting cognitive functions via autoencoder B Cai, G Zhang, A Zhang, L Xiao, W Hu, JM Stephen, TW Wilson, ... Human Brain Mapping 42 (9), 2691-2705, 2021 | 29 | 2021 |
| Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study W Hu, D Lin, VD Calhoun, Y Wang 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 19 | 2016 |
| Refined measure of functional connectomes for improved identifiability and prediction B Cai, G Zhang, W Hu, A Zhang, P Zille, Y Zhang, JM Stephen, TW Wilson, ... Human brain mapping 40 (16), 4843-4858, 2019 | 17 | 2019 |
| Integrating imaging genomic data in the quest for biomarkers of schizophrenia disease SP Deng, W Hu, VD Calhoun, YP Wang IEEE/ACM transactions on computational biology and bioinformatics 15 (5 …, 2017 | 16 | 2017 |
| Brain functional connectivity analysis via graphical deep learning G Qu, W Hu, L Xiao, J Wang, Y Bai, B Patel, K Zhang, YP Wang IEEE Transactions on Biomedical Engineering 69 (5), 1696-1706, 2021 | 14 | 2021 |
| A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity B Cai, G Zhang, A Zhang, W Hu, JM Stephen, TW Wilson, VD Calhoun, ... Journal of neuroscience methods 332, 108531, 2020 | 14 | 2020 |
| Distance canonical correlation analysis with application to an imaging-genetic study W Hu, A Zhang, B Cai, V Calhoun, YP Wang Journal of Medical Imaging 6 (2), 026501-026501, 2019 | 14 | 2019 |
| Biomarker identification through integrating fmri and epigenetics Y Bai, Z Pascal, W Hu, VD Calhoun, YP Wang IEEE transactions on Biomedical Engineering 67 (4), 1186-1196, 2019 | 13 | 2019 |
| Joint bayesian-incorporating estimation of multiple gaussian graphical models to study brain connectivity development in adolescence A Zhang, B Cai, W Hu, B Jia, F Liang, TW Wilson, JM Stephen, ... IEEE transactions on medical imaging 39 (2), 357-365, 2019 | 11 | 2019 |
| Functional network estimation using multigraph learning with application to brain maturation study J Wang, L Xiao, W Hu, G Qu, TW Wilson, JM Stephen, VD Calhoun, ... Human brain mapping 42 (9), 2880-2892, 2021 | 6 | 2021 |
| Multi-modal brain connectivity study using deep collaborative learning W Hu, B Cai, V Calhoun, YP Wang Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non …, 2018 | 6 | 2018 |
| Recommendations of scRNA-seq differential gene expression analysis based on comprehensive benchmarking J Gagnon, L Pi, M Ryals, Q Wan, W Hu, Z Ouyang, B Zhang, K Li Life 12 (6), 850, 2022 | 5 | 2022 |
| A graph deep learning model for the classification of groups with different IQ using resting state fMRI G Qu, W Hu, L Xiao, YP Wang Medical imaging 2020: Biomedical applications in molecular, structural, and …, 2020 | 5 | 2020 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
