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pro vyhledávání: '"39"'
Autor:
Smyser CD; Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Department of Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA. Electronic address: smyserc@neuro.wustl.edu., Dosenbach NU; Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA. Electronic address: dosenbachn@neuro.wustl.edu., Smyser TA; Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA. Electronic address: smysert@psychiatry.wustl.edu., Snyder AZ; Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA. Electronic address: avi@npg.wustl.edu., Rogers CE; Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA. Electronic address: rogersc@psychiatry.wustl.edu., Inder TE; Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA. Electronic address: tinder@partners.org., Schlaggar BL; Department of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Department of Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA; Department of Neurobiology, Washington University School of Medicine, 660 South Euclid Avenue, Saint Louis, MO 63110-1093, USA. Electronic address: schlaggarb@neuro.wustl.edu., Neil JJ; Department of Neurology, Boston Children's Hospital, 333 Longwood Avenue, Boston, MA 02115, USA. Electronic address: jeffrey.neil@childrens.harvard.edu.
Publikováno v:
NeuroImage [Neuroimage] 2016 Aug 01; Vol. 136, pp. 1-9. Date of Electronic Publication: 2016 May 11.
Autor:
Tabelow K; Weierstrass Institute for Applied Analysis and Stochastics, Mohrenstr. 39, 10117 Berlin, Germany. tabelow@wias-berlin.de, Polzehl J, Voss HU, Spokoiny V
Publikováno v:
NeuroImage [Neuroimage] 2006 Oct 15; Vol. 33 (1), pp. 55-62. Date of Electronic Publication: 2006 Aug 04.
Publikováno v:
NeuroImage. 171:415-436
Estimates of functional connectivity derived from resting-state functional magnetic resonance imaging (rs-fMRI) are highly sensitive to artefacts caused by in-scanner head motion. This susceptibility has motivated the development of numerous denoisin
Publikováno v:
NeuroImage. 60:1819-1831
The recent development of motion robust super-resolution fetal brain MRI holds out the potential for dramatic new advances in volumetric and morphometric analysis. Volumetric analysis based on volumetric and morphometric biomarkers of the developing
Publikováno v:
NeuroImage. 48:73-83
Smoothly varying and multiplicative intensity variations within MR images that are artifactual, can reduce the accuracy of automated brain segmentation. Fortunately, these can be corrected. Among existing correction approaches, the nonparametric non-
Autor:
Daniel B. Rowe
Publikováno v:
NeuroImage. 25:1310-1324
In MRI and fMRI, images or voxel measurement are complex valued or bivariate at each time point. Recently, (Rowe, D.B., Logan, B.R., 2004. A complex way to compute fMRI activation. NeuroImage 23 (3), 1078–1092) introduced an fMRI magnitude activati
Publikováno v:
NeuroImage. 112
Multivariate pattern analysis and statistical machine learning techniques are attracting increasing interest from the neuroimaging community. Researchers and clinicians are also increasingly interested in the study of functional-connectivity patterns
Autor:
Adam R. Aron, Anders M. Dale, Jody Goldstein, Russell A. Poldrack, Angela Rizk-Jackson, Sarah Sheldon, Diederick Stoffers, Jody Corey-Bloom, Joshua M. Kuperman
Publikováno v:
NeuroImage. 56(2)
The development of MRI measures as biomarkers for neurodegenerative disease could prove extremely valuable for the assessment of neuroprotective therapies. Much current research is aimed at developing such biomarkers for use in people who are gene-po
Autor:
Olivier Faugeras, Thomas Deneux
Publikováno v:
NeuroImage
NeuroImage, 2006, 32 (4), pp.1669-1689. ⟨10.1016/j.neuroimage.2006.03.006⟩
NeuroImage, 2006, 32 (4), pp.1669-1689. ⟨10.1016/j.neuroimage.2006.03.006⟩
International audience; There is an increasing interest in using physiologically plausible models in fMRI analysis. These models do raise new mathematical problems in terms of parameter estimation and interpretation of the measured data. In this pape