Dr. Daniel E. Rio Profile

Dr. Daniel E. Rio

Research Physicist at National Institutes of Health

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Publications (4)

Proceedings Article | 28 February 2009 Paper

An application of the complex general linear model to analysis of fMRI single subjects multiple stimuli input data

Daniel Rio, Robert Rawlings, Lawrence Woltz, Jodi Gilman, Daniel Hommer

Proceedings Volume 7262, 72622Q (2009) https://doi.org/10.1117/12.811811

KEYWORDS: Data modeling, Functional magnetic resonance imaging, Statistical analysis, Mathematical modeling, Analytical research, Hemodynamics, Brain, Interference (communication), Statistical inference, Fourier transforms

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Proceedings Article | 20 April 2000 Paper

Application of a linear time-invariant model in the Fourier domain to perform statistical analysis of functional magnetic resonance images

Daniel Rio, Robert Rawlings, Daniel Hommer

Proceedings Volume 3978, (2000) https://doi.org/10.1117/12.383406

KEYWORDS: Statistical analysis, Functional magnetic resonance imaging, Data modeling, Hemodynamics, Statistical modeling, Magnetism, Magnetic resonance imaging, Brain, Stochastic processes, Error analysis

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Proceedings Article | 8 July 1994 Paper

Study of statistical methods applied in the spatial, wavelet and Fourier domain to enhance and analyze group characteristics of images: application to positron emission tomography brain images

Daniel Rio, Robert Rawlings, Urs Ruttimann, Reza Momenan

Proceedings Volume 2299, (1994) https://doi.org/10.1117/12.179250

KEYWORDS: Wavelets, Statistical analysis, Positron emission tomography, Brain, Statistical methods, Neuroimaging, Image resolution, Image classification, Image enhancement, Spatial resolution

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Proceedings Article | 23 June 1993 Paper

Use of the wavelet transform to investigate differences in brain PET images between patient groups

Urs Ruttimann, Michael Unser, Daniel Rio, Robert Rawlings

Proceedings Volume 2035, (1993) https://doi.org/10.1117/12.146601

KEYWORDS: Wavelets, Wavelet transforms, Image resolution, Positron emission tomography, Medical imaging, Signal to noise ratio, Neuroimaging, Brain, Statistical analysis, Glucose

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