Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Timothy D Johnson

Showing results (21-30 of 132) with videos related to

Pageof 14
Sort By:
Statistical Methods in Medical Research|May 26, 2012
A Bayesian non-parametric Potts model with application to pre-surgical FMRI dataTimothy D Johnson, Zhuqing Liu, Andreas J Bartsch, et al.
The Annals of Applied Statistics|November 27, 2014
A BAYESIAN HIERARCHICAL SPATIAL POINT PROCESS MODEL FOR MULTI-TYPE NEUROIMAGING META-ANALYSISJian Kang, Thomas E Nichols, Tor D Wager, et al.
Journal of the American Statistical Association|June 28, 2011
Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point ProcessesJian Kang, Timothy D Johnson, Thomas E Nichols, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 7, 2010
Longitudinal Image Analysis of Tumor/Healthy Brain Change in Contrast Uptake Induced by RadiationXiaoxi Zhang, Timothy D Johnson, Roderick J A Little, et al.
The Annals of Applied Statistics|January 5, 2010
QUANTITATIVE MAGNETIC RESONANCE IMAGE ANALYSIS VIA THE EM ALGORITHM WITH STOCHASTIC VARIATIONXiaoxi Zhang, Timothy D Johnson, Roderick J A Little, et al.
Biometrics|February 13, 2009
Modeling inter-subject variability in FMRI activation location: a Bayesian hierarchical spatial modelLei Xu, Timothy D Johnson, Thomas E Nichols, et al.
Bayesian Analysis|April 5, 2016
Pre-Surgical fMRI Data Analysis Using a Spatially Adaptive Conditionally Autoregressive ModelZhuqing Liu, Veronica J Berrocal, Andreas J Bartsch, et al.
Statistical Methods in Medical Research|January 17, 2018
A mixed-effects, spatially varying coefficients model with application to multi-resolution functional magnetic resonance imaging dataZhuqing Liu, Andreas J Bartsch, Veronica J Berrocal, et al.
The Annals of Applied Statistics|November 7, 2022
Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial ResolutionsAndrew S Whiteman, Andreas J Bartsch, Jian Kang, et al.
Bayesian Analysis|May 8, 2010
A Bayesian Image Analysis of Radiation Induced Changes in Tumor Vascular PermeabilityXiaoxi Zhang, Timothy D Johnson, Roderick J A Little, et al.
Pageof 14

Showing results (21-30 of 132) with videos related to

Sort By:
Pageof 14
Statistical Methods in Medical Research|May 26, 2012
A Bayesian non-parametric Potts model with application to pre-surgical FMRI dataTimothy D Johnson, Zhuqing Liu, Andreas J Bartsch, et al.
The Annals of Applied Statistics|November 27, 2014
A BAYESIAN HIERARCHICAL SPATIAL POINT PROCESS MODEL FOR MULTI-TYPE NEUROIMAGING META-ANALYSISJian Kang, Thomas E Nichols, Tor D Wager, et al.
Journal of the American Statistical Association|June 28, 2011
Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point ProcessesJian Kang, Timothy D Johnson, Thomas E Nichols, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|December 7, 2010
Longitudinal Image Analysis of Tumor/Healthy Brain Change in Contrast Uptake Induced by RadiationXiaoxi Zhang, Timothy D Johnson, Roderick J A Little, et al.
The Annals of Applied Statistics|January 5, 2010
QUANTITATIVE MAGNETIC RESONANCE IMAGE ANALYSIS VIA THE EM ALGORITHM WITH STOCHASTIC VARIATIONXiaoxi Zhang, Timothy D Johnson, Roderick J A Little, et al.
Biometrics|February 13, 2009
Modeling inter-subject variability in FMRI activation location: a Bayesian hierarchical spatial modelLei Xu, Timothy D Johnson, Thomas E Nichols, et al.
Bayesian Analysis|April 5, 2016
Pre-Surgical fMRI Data Analysis Using a Spatially Adaptive Conditionally Autoregressive ModelZhuqing Liu, Veronica J Berrocal, Andreas J Bartsch, et al.
Statistical Methods in Medical Research|January 17, 2018
A mixed-effects, spatially varying coefficients model with application to multi-resolution functional magnetic resonance imaging dataZhuqing Liu, Andreas J Bartsch, Veronica J Berrocal, et al.
The Annals of Applied Statistics|November 7, 2022
Bayesian Inference for Brain Activity from Functional Magnetic Resonance Imaging Collected at Two Spatial ResolutionsAndrew S Whiteman, Andreas J Bartsch, Jian Kang, et al.
Bayesian Analysis|May 8, 2010
A Bayesian Image Analysis of Radiation Induced Changes in Tumor Vascular PermeabilityXiaoxi Zhang, Timothy D Johnson, Roderick J A Little, et al.
Pageof 14