R. Todd Ogden

Orcid: 0009-0008-0005-446X

According to our database1, R. Todd Ogden authored at least 27 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Nonlinear Mixed-Effects Modeling Approach for Simplified Reference Tissue Model.
IEEE Trans. Biomed. Eng., April, 2024

2022
Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes.
J. Comput. Graph. Stat., October, 2022

A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules.
J. Comput. Graph. Stat., January, 2022

Simultaneous multifactor Bayesian analysis (SiMBA) of PET time activity curve data.
NeuroImage, 2022

Designing drug occupancy studies with PET neuroimaging: Sample size, occupancy ranges and analytical methods.
NeuroImage, 2022

Source-to-Target Automatic Rotating Estimation (STARE) - A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for [<sup>18</sup>F]FDG.
NeuroImage, 2022

2019
Quantifying Brain [<sup>18</sup>F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data.
IEEE J. Biomed. Health Informatics, 2019

Nonlinear Mixed-Effects Models for PET Data.
IEEE Trans. Biomed. Eng., 2019

Accuracy and reliability of [<sup>11</sup>C]PBR28 specific binding estimated without the use of a reference region.
NeuroImage, 2019

2018
Non-invasive estimation of [<sup>11</sup>C]PBR28 binding potential.
NeuroImage, 2018

Likelihood estimation of drug occupancy for brain PET studies.
NeuroImage, 2018

2017
Estimation of the binding potential BP<sub>ND</sub> without a reference region or blood samples for brain PET studies.
NeuroImage, 2017

2016
Wavelet-based scalar-on-function finite mixture regression models.
Comput. Stat. Data Anal., 2016

2015
Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data.
IEEE J. Biomed. Health Informatics, 2015

Estimation of in vivo nonspecific binding in positron emission tomography studies without requiring a reference region.
NeuroImage, 2015

Non-invasive quantification of brain [<sup>18</sup>F]-FDG uptake by combining medical health records and dynamic PET imaging data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Genetic variation in brain-derived neurotrophic factor val66met allele is associated with altered serotonin-1A receptor binding in human brain.
NeuroImage, 2014

Functional data classification: a wavelet approach.
Comput. Stat., 2014

Combining brain imaging data with electronic health records to non-invasively quantify [<sup>11</sup>C]DASB binding.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2010
A voxel-based clustering approach for the automatic selection of testing regions in the simultaneous estimation of input functions in PET.
NeuroImage, 2010

A data adaptive approach to the robust fitting of PET data.
NeuroImage, 2010

Evaluating sources of variation in kinetic modeling using an input function via the bootstrap.
NeuroImage, 2010

Suicide risk detection with PET WAY and DASB.
NeuroImage, 2010

2009
Bootstrapping sums of independent but not identically distributed continuous processes with applications to functional data.
J. Multivar. Anal., 2009

2006
Statistical Bilateral Asymmetry Measurement in Brain Images.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Quantitative wavelet domain image processing of dynamic PET data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

1997
Data analytic wavelet threshold selection in 2-D signal denoising.
IEEE Trans. Signal Process., 1997


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