To smooth or not to smooth? ROC analysis of perfusion fMRI data.
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Support vector machine learning-based fMRI data group analysisEmpirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbxStatistical approaches to functional neuroimaging dataSupport vector machine learning-based cerebral blood flow quantification for arterial spin labeling MRI.Functional imaging of an alcohol-Implicit Association Test (IAT).Loss of Coherence of Low Frequency Fluctuations of BOLD FMRI in Visual Cortex of Healthy Aged Subjects.Eccentricity mapping of the human visual cortex to evaluate temporal dynamics of functional T1ρ mapping.Improving cerebral blood flow quantification for arterial spin labeled perfusion MRI by removing residual motion artifacts and global signal fluctuations.Caffeine's effects on cerebrovascular reactivity and coupling between cerebral blood flow and oxygen metabolism.Caffeine dose effect on activation-induced BOLD and CBF responses.Functional imaging of implicit marijuana associations during performance on an Implicit Association Test (IAT).Visual Assessment of Brain Perfusion MRI Scans in Dementia: A Pilot Study.Transjugular intrahepatic portosystemic shunt induced short- and long-term cerebral blood flow variations in cirrhotic patients: an arterial spin labeling MRI study.An iterative two-threshold analysis for single-subject functional MRI of the human brain.Automated removal of spurious intermediate cerebral blood flow volumes improves image quality among older patients: A clinical arterial spin labeling investigation.Perfusion fMRI evidence for priming of shared feature-to-lexical connections during cumulative semantic interference in spoken word production
P2860
Q31113694-23B0649D-A744-4E3C-9377-67434189E4F6Q31126691-76669CCD-7AAE-405C-951B-AA0131289AD0Q31135429-493721D8-88EA-4671-B27C-1EFED46A9856Q33748063-B2648B31-029D-47F0-905B-5C380D3FA214Q33978767-3B57B1D7-CD1C-4FD4-A13F-4BB46535B0BFQ35631994-6DE589BA-78DA-4B5B-A067-772FB092F5B7Q36267301-46852506-4F4E-47B8-863F-D018912E3350Q36350695-01F4EE95-7EC1-49AF-AFB3-C6913E4A7AD2Q37126016-613FFB83-892D-4B60-BE3A-674BAF909161Q37222131-1CCE4BB7-7B31-46AA-AD71-6201D41F2A68Q37332769-F9C9C679-5776-4D41-B64B-3D57C5A63C9FQ40533137-63CADE44-8583-474B-8645-E8FAE595C926Q44017168-69F6116F-AADE-48E8-9777-FCF5A3EAFD8EQ45043675-1A315222-96A7-4CD4-A27C-2C878A980499Q48201819-22D74B21-5414-4226-92DB-FDF803055C49Q57834099-085E0915-B943-4D69-894B-B85D6AEA1946
P2860
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@ast
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@en
type
label
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@ast
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@en
prefLabel
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@ast
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@en
P2093
P1476
To smooth or not to smooth? ROC analysis of perfusion fMRI data.
@en
P2093
Geoffrey K Aguirre
Jiongjiong Wang
John A Detre
P356
10.1016/J.MRI.2004.11.009
P577
2005-01-01T00:00:00Z