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Guoqing Wang
Guoqing Wang
PhD in Biostatistics, Johns Hopkins University, Bloomberg School of Public Health
Bestätigte E-Mail-Adresse bei jhu.edu
Titel
Zitiert von
Zitiert von
Jahr
A parsimonious statistical method to detect groupwise differentially expressed functional connectivity networks
S Chen, J Kang, Y Xing, G Wang
Human brain mapping 36 (12), 5196-5206, 2015
442015
An empirical Bayes normalization method for connectivity metrics in resting state fMRI
S Chen, J Kang, G Wang
Frontiers in neuroscience 9, 149259, 2015
232015
Moderated t-tests for group-level fMRI analysis
G Wang, J Muschelli, MA Lindquist
NeuroImage 237, 118141, 2021
112021
Direct quantification of epistemic and aleatoric uncertainty in 3D U-net segmentation
CK Jones, G Wang, V Yedavalli, H Sair
Journal of Medical Imaging 9 (3), 034002-034002, 2022
82022
Identification of the somatomotor network from language task–based fMRI compared with resting-state fMRI in patients with brain lesions
E Beheshtian, R Jalilianhasanpour, A Modir Shanechi, V Sethi, G Wang, ...
Radiology 301 (1), 178-184, 2021
82021
Identification of the language network from resting-state fMRI in patients with brain tumors: how accurate are experts?
SK Gujar, K Manzoor, J Wongsripuemtet, G Wang, D Ryan, S Agarwal, ...
American Journal of Neuroradiology 44 (3), 274-282, 2023
32023
Bayesian functional registration of fMRI activation maps
G Wang, A Datta, MA Lindquist
The annals of applied statistics 16 (3), 1676, 2022
32022
Bayesian functional registration of fMRI data
G Wang, A Datta, MA Lindquist
arXiv preprint arXiv:2102.10179, 2021
32021
Quantifying epistemic and aleatoric uncertainty in 3d u-net segmentation
CK Jones, G Wang, V Yedavalli, H Sair
medRxiv, 2021.09. 20.21263844, 2021
22021
Invasion dynamics of competing species with stage-structure
S Bewick, G Wang, H Younes, B Li, WF Fagan
Journal of Theoretical Biology 435, 12-21, 2017
12017
Improved fMRI-based pain prediction using Bayesian group-wise functional registration
G Wang, A Datta, MA Lindquist
Biostatistics, kxad026, 2023
2023
Bayesian Methods for Analyzing Functional Magnetic Resonance Imaging Data
G Wang
Johns Hopkins University, 2022
2022
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