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ORCIDYu-Ping Wang 0002
- > Home > Persons > Yu-Ping Wang 0002
Publications
- 2023
[j102]Chen Qiao, Bin Gao, Yuechen Liu
, Xin-Yu Hu, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Anal. 90: 102941 (2023)- 2022
- [j89]Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun:
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39(2): 87-98 (2022) - [j88]Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang:
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1696-1706 (2022) - 2021
- [j72]Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang:
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68(12): 3564-3573 (2021) - [j71]Aiying Zhang, Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1350-1360 (2021) - [j68]Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Gang Qu, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Trans. Medical Imaging 40(5): 1474-1483 (2021) - [i10]Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang:
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR abs/2101.08316 (2021) - 2020
- [j65]Gang Li, Depeng Han, Chao Wang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. Comput. Methods Programs Biomed. 183 (2020) - [j59]Yuntong Bai, Pascal Zille, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Biomarker Identification Through Integrating fMRI and Epigenetics. IEEE Trans. Biomed. Eng. 67(4): 1186-1196 (2020) - [j54]Aiying Zhang, Biao Cai, Wenxing Hu, Bochao Jia, Faming Liang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. IEEE Trans. Medical Imaging 39(2): 357-365 (2020) - [c52]Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang:
A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170A - [i5]Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Interpretable multimodal fusion networks reveal mechanisms of brain cognition. CoRR abs/2006.09454 (2020) - [i4]Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). CoRR abs/2006.09536 (2020) - 2019
- [j39]Wenxing Hu, Biao Cai, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang:
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. IEEE Trans. Biomed. Eng. 66(12): 3346-3359 (2019) - 2018
- [j35]Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang:
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. IEEE Trans. Biomed. Eng. 65(2): 390-399 (2018) - [j33]Su-Ping Deng, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1480-1491 (2018) - [c39]Wenxing Hu, Biao Cai, Vince D. Calhoun, Yu-Ping Wang:
Multi-modal Brain Connectivity Study Using Deep Collaborative Learning. GRAIL/Beyond-MIC@MICCAI 2018: 66-73 - 2016
- [c28]Wenxing Hu, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang:
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. EMBC 2016: 3310-3313
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