about
BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUsBlunted feelings: alexithymia is associated with a diminished neural response to speech prosody.On-line plasticity in spoken sentence comprehension: Adapting to time-compressed speechSpatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data.Remapping in human visual cortex.A wavelet-based Bayesian approach to regression models with long memory errors and its application to FMRI data.Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling.Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses.Bayesian Models for fMRI Data Analysis.Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI dataFast, fully Bayesian spatiotemporal inference for fMRI dataSTGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data.A Bayesian hierarchical framework for spatial modeling of fMRI dataStatistical approaches to functional neuroimaging dataData-driven haemodynamic response function extraction using Fourier-wavelet regularised deconvolutionModeling the spatial and temporal dependence in FMRI dataChanges in neuronal activation patterns in response to androgen deprivation therapy: a pilot study.Methodological approaches in developmental neuroimaging studiesFast joint detection-estimation of evoked brain activity in event-related FMRI using a variational approachA topographic latent source model for fMRI data.Brain Imaging AnalysisSensitivity to white matter FMRI activation increases with field strengthGroup-wise FMRI activation detection on DICCCOL landmarksA functional network estimation method of resting-state fMRI using a hierarchical Markov random field.Efficient posterior probability mapping using Savage-Dickey ratios.Spatial Bayesian Variable Selection Models on Functional Magnetic Resonance Imaging Time-Series Data.Fully Bayesian inference for structural MRI: application to segmentation and statistical analysis of T2-hypointensitiesObjective Bayesian fMRI analysis-a pilot study in different clinical environmentsFrom spatial regularization to anatomical priors in fMRI analysis.Differential fMRI Activation Patterns to Noxious Heat and Tactile Stimuli in the Primate Spinal CordWill big data yield new mathematics? An evolving synergy with neuroscience.Neural connections foster social connections: a diffusion-weighted imaging study of social networks.Semiparametric Bayesian local functional models for diffusion tensor tract statisticsBayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes.A Bayesian spatial model for neuroimaging data based on biologically informed basis functions.A comparative simulation study of bayesian fitting approaches to intravoxel incoherent motion modeling in diffusion-weighted MRI.Local dimension-reduced dynamical spatio-temporal models for resting state network estimation.Effect of voluntary repetitive long-lasting muscle contraction activity on the BOLD signal as assessed by optimal hemodynamic response function.Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations.
P2860
Q28657784-9DCEF006-B422-4E7D-9CAB-01CFA0383E05Q30405960-07AD0864-6AED-4AAB-B564-FF62B94FA546Q30485188-F6AF2B5F-8AAB-4F9D-8C77-BD8056189D08Q30486156-D0A6E0D3-32A8-49CE-8BC5-F74D991EB001Q30496303-51981C87-A7DE-46A1-A98C-761C4A4E85E6Q30586918-59A3B94D-19C2-4EC0-A8D1-B92058BA8061Q30588658-4568FF4D-22C8-4452-900F-001BAFB06A4BQ30667291-C5617980-6838-4ABA-8ED9-8C45F725479DQ30781656-A00430B8-FD04-41DE-87EA-45DE3199C576Q30906699-08F4D62C-719D-4765-8F00-A836288A8B6AQ30981756-06D43468-C969-4063-8DFE-E057FD64CFEDQ31020661-300AB819-42C5-44E4-9044-A3C2241BE3A2Q31082844-E81B6734-0BD5-406A-A474-FD8F128B5EB1Q31133058-865689A1-6AB2-4844-A4A6-FB7E2FC84D38Q31135429-59EF594B-590D-41FF-8D29-9D1092B20265Q31152176-BC5D69A8-77F7-40A9-A669-F98C5CFAD6E5Q33515908-2CBCEDC3-F66B-496C-BBB2-D0AD188DB58EQ33521781-7E9C7B97-1626-412F-9926-5A2719E7E456Q33585431-393886C7-63B3-4A4D-B344-3F2097372DD6Q33610117-093909D8-9A2B-43D0-831C-6E8E11C4BF3EQ33891752-FF2B55CA-B41E-4FB4-8D98-50E34F7FEA2BQ34304242-0E589ED7-E997-490F-A22D-DD485965470CQ34332543-AEA4A772-3ECA-4F1A-B984-2B1F4CDAC5B7Q34389562-4E0B9F61-F623-4BAC-BB00-3114AA791FA2Q34426126-79367AD6-AF3F-4649-8242-334EDB0495EBQ34637915-123AF665-1476-4595-986A-59078DCAF1A2Q34721295-B62FAD74-2C5C-4E2A-98E2-84B3B30136B9Q34847239-4AA8B3B5-B390-4778-8AC9-3014BAF19F86Q35595753-FF2765D7-D352-49C2-BD55-655140615ED6Q35738333-1140B2EE-368D-40D8-8618-E9207CCE75DDQ35876803-A4F8FBF8-4854-4DC4-A6D9-E9F23C3DA143Q36102447-140CCA93-B1D9-4B11-8B98-96073AC70FB0Q36843456-D7E6ECE2-5FD1-4ED2-A931-13E77B8E1264Q36916571-A927BCD6-6328-4917-B3CF-B1005819EA66Q37274988-F9366680-C9B6-46F5-9D7C-433DD51339CEQ38637459-C55AE676-8372-466C-A0DF-EDD61F9E5879Q38859555-E0A3FABC-31AD-41FE-8E22-5709B2E8D629Q39285054-1CE59AA6-6899-4BF0-9328-18F21B271848Q39356648-11EC5D0C-9BE2-4019-9788-EF3C333A5759Q41321006-481A1322-A733-4C2F-BE9C-94E9874D43C8
P2860
description
2004 nî lūn-bûn
@nan
2004 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Fully Bayesian spatio-temporal modeling of FMRI data.
@ast
Fully Bayesian spatio-temporal modeling of FMRI data.
@en
type
label
Fully Bayesian spatio-temporal modeling of FMRI data.
@ast
Fully Bayesian spatio-temporal modeling of FMRI data.
@en
prefLabel
Fully Bayesian spatio-temporal modeling of FMRI data.
@ast
Fully Bayesian spatio-temporal modeling of FMRI data.
@en
P356
P1476
Fully Bayesian spatio-temporal modeling of FMRI data.
@en
P2093
J Michael Brady
Mark W Woolrich
P304
P356
10.1109/TMI.2003.823065
P577
2004-02-01T00:00:00Z