Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model. - Craig K. Abbey; Eric Clarkson; Harrison H. Barrett; Stefan P. Müller; Frank J. Rybicki (IPMI, 1997)

Bayesian Detection with Amplitude, Scale, Orientation and Position Uncertainty. - Eric Clarkson; Harrison H. Barrett (IPMI, 1997)

A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model. - Craig K. Abbey; Eric Clarkson; Harrison H. Barrett; Stefan P. Müller; Frank J. Rybicki (Medical Image Anal., 1998)

Angular Channels in a Multidimensional Wavelet Transform. - Eric Clarkson (SIAM J. Math. Anal., 2000)

A high resolution synthetic collimator for reconstructing 2D and 3D radiotracer distributions. - D. W. Wilson; Harrison H. Barrett; Eric Clarkson (IEEE Trans. Medical Imaging, 2000)

Estimability of Spatio-temporal Activation in fMRI. - Andre Lehovich; Harrison H. Barrett; Eric Clarkson; Arthur F. Gmitro (IPMI, 2001)

Feature extraction method based on the ideal observer. - Hongbin Zhang; Eric Clarkson; Harrison H. Barrett (Image Processing, 2001)

Nonlinear discriminant analysis. - Hongbin Zhang; Eric Clarkson; Harrison H. Barrett (Image Processing, 2001)

Chemical-shift Imaging Utilizing the Positional Shifts along the Readout Gradient Direction. - Maria I. Altbach; Theodore P. Trouard; Rik Van de Walle; Rebecca J. Theilman; Eric Clarkson; Harrison H. Barrett; Arthur F. Gmitro (IEEE Trans. Medical Imaging, 2001)

Comments on the Filtered Backprojection Algorithm, Range Conditions, and the Pseudoinverse Solution. - Mark A. Anastasio; Xiaochuan Pan; Eric Clarkson (IEEE Trans. Medical Imaging, 2001)

Methods for Designing Head-Tracking Probes. - Larry S. Davis; Jannick P. Rolland; Rebecca Parsons; Eric Clarkson (JCIS, 2002)

Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard. - John W. Hoppin; Matthew A. Kupinski; George A. Kastis; Eric Clarkson; Harrison H. Barrett (IEEE Trans. Medical Imaging, 2002)

Ideal-Observer Performance under Signal and Background Uncertainty. - Subok Park; Matthew A. Kupinski; Eric Clarkson; Harrison H. Barrett (IPMI, 2003)

Predicting Accuracy in Pose Estimation for Marker-based Tracking. - Larry S. Davis; Eric Clarkson; Jannick P. Rolland (ISMAR, 2003)

Image-Quality Assessment in Optical Tomography. - Matthew A. Kupinski; Eric Clarkson (ISBI, 2004)

Adaptive small-animal SPECT/CT. - L. R. Furenlid; J. W. Moore; M. Freed; Matthew A. Kupinski; Eric Clarkson; Z. Liu; D. W. Wilson; James M. Woolfenden; Harrison H. Barrett (ISBI, 2008)

A Task-Based Approach to Adaptive and Multimodality Imaging. - Eric Clarkson; Matthew A. Kupinski; Harrison H. Barrett; Lars R. Furenlid (Proc. IEEE, 2008)

Adaptive SPECT. - Harrison H. Barrett; L. R. Furenlid; M. Freed; J. Y. Hesterman; Matthew A. Kupinski; Eric Clarkson; M. K. Whitaker (IEEE Trans. Medical Imaging, 2008)

Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging. - Eric Clarkson; Matthew A. Kupinski (SIAM J. Imaging Sci., 2009)

Applying the J-optimal channelized quadratic observer to SPECT myocardial perfusion defect detection. - Meredith K. Kupinski; Eric Clarkson; Michael Ghaly; Eric C. Frey (Image Perception, Observer Performance, and Technology Assessment, 2016)

Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information. - Eric Clarkson (CoRR, 2019)

The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter. - Eric Clarkson (CoRR, 2019)

Quantifying the Loss of Information from Binning List-Mode Data. - Eric Clarkson (CoRR, 2019)

Inequalities and Approximations for Fisher Information in the Presence of Nuisance Parameters. - Eric Clarkson (CoRR, 2019)

Bayesian Fisher Information, Shannon Information, and ROC Analysis for Classification Tasks. - Eric Clarkson (ACSSC, 2020)

Bayesian Fisher Information and Detection of a Small Change in a Parameter. - Eric Clarkson (CISS, 2020)

An approach to characterizing spatial aspects of image system blur. - Jesse Adams; Jessica Pillow; Kevin Joyce; Michael Brennan; Malena I. Español; Matthias Morzfeld; Sean Breckling; Daniel Champion; Eric Clarkson; Ryan N. Coffee; Amanda Gehring; Margaret Lund; et al. (Stat. Anal. Data Min., 2021)

Performance of list mode Hotelling observer and comparison to a neural network observer. - Dan Li; Eric Clarkson (Image Perception, Observer Performance, and Technology Assessment, 2022)

Approximating the idea observer on list mode data with comparison to CNN methods. - Dan Li; Eric Clarkson (Image Perception, Observer Performance, and Technology Assessment, 2023)