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Biao Cai
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Year
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
502019
Estimation of dynamic sparse connectivity patterns from resting state fMRI
B Cai, P Zille, JM Stephen, TW Wilson, VD Calhoun, YP Wang
IEEE transactions on medical imaging 37 (5), 1224-1234, 2017
472017
Capturing dynamic connectivity from resting state fMRI using time-varying graphical lasso
B Cai, G Zhang, A Zhang, JM Stephen, TW Wilson, VD Calhoun, YP Wang
IEEE Transactions on Biomedical Engineering 66 (7), 1852-1862, 2018
462018
Estimating dynamic functional brain connectivity with a sparse hidden Markov model
G Zhang, B Cai, A Zhang, JM Stephen, TW Wilson, VD Calhoun, YP Wang
IEEE transactions on medical imaging 39 (2), 488-498, 2019
442019
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
402021
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
322022
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
282021
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI
Z Zhou, B Cai, G Zhang, A Zhang, VD Calhoun, YP Wang
NeuroImage 221, 117190, 2020
212020
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
172019
Multi-paradigm fMRI fusion via sparse tensor decomposition in brain functional connectivity study
Y Zhang, L Xiao, G Zhang, B Cai, JM Stephen, TW Wilson, VD Calhoun, ...
IEEE journal of biomedical and health informatics 25 (5), 1712-1723, 2020
162020
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
142020
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
142019
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
112019
Multielemental analysis of human serum by dynamic reaction cell–inductively coupled plasma mass spectrometry
B Cai, Y Wang, XH Zhao, ZS Gong
Analytical Letters 50 (3), 554-566, 2017
92017
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model
G Zhang, B Cai, A Zhang, Z Tu, L Xiao, JM Stephen, TW Wilson, ...
Neuroimage 260, 119451, 2022
82022
Distance correlation-based brain functional connectivity estimation and non-convex multi-task learning for developmental fMRI studies
L Xiao, B Cai, G Qu, G Zhang, JM Stephen, TW Wilson, VD Calhoun, ...
IEEE Transactions on Biomedical Engineering 69 (10), 3039-3050, 2022
82022
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
62018
电感耦合等离子体质谱中碰撞反应池的模拟探讨
韩建华, 孙传强, 汪曣, 赵学玒, 蔡彪
冶金分析, 1-7, 2014
62014
Correlation guided graph learning to estimate functional connectivity patterns from fMRI data
L Xiao, A Zhang, B Cai, JM Stephen, TW Wilson, VD Calhoun, YP Wang
IEEE Transactions on Biomedical Engineering 68 (4), 1154-1165, 2020
52020
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning
B Cai, G Zhang, A Zhang, L Xiao, W Hu, JM Stephen, TW Wilson, ...
arXiv preprint arXiv:2006.09928, 2020
32020
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