Eric Clarkson

31 papers A* 1B 2Misc 2Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2023 — conf
Approximating the idea observer on list mode data with comparison to CNN methods.
Image Perception, Observer Performance, and Technology Assessment
Dan Li, Eric Clarkson
2022 — conf
Performance of list mode Hotelling observer and comparison to a neural network observer.
Image Perception, Observer Performance, and Technology Assessment
Dan Li, Eric Clarkson
2021 J jnl
An approach to characterizing spatial aspects of image system blur.
Stat. Anal. Data Min.
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, Duane Smalley, Ajanae Williams, Jacob Zier, Daniel Frayer, Marylesa Howard, Eric Machorro
2020 Misc conf
Bayesian Fisher Information and Detection of a Small Change in a Parameter.
CISS
Eric Clarkson
2020 Misc conf
Bayesian Fisher Information, Shannon Information, and ROC Analysis for Classification Tasks.
ACSSC
Eric Clarkson
2019 J jnl
Inequalities and Approximations for Fisher Information in the Presence of Nuisance Parameters.
CoRR
Eric Clarkson
2019 J jnl
Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information.
CoRR
Eric Clarkson
2019 J jnl
Quantifying the Loss of Information from Binning List-Mode Data.
CoRR
Eric Clarkson
2019 J jnl
The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter.
CoRR
Eric Clarkson
2016 — conf
Applying the J-optimal channelized quadratic observer to SPECT myocardial perfusion defect detection.
Image Perception, Observer Performance, and Technology Assessment
Meredith K. Kupinski, Eric Clarkson, Michael Ghaly, Eric C. Frey
2009 J jnl
Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging.
SIAM J. Imaging Sci.
Eric Clarkson, Matthew A. Kupinski
2008 J jnl
A Task-Based Approach to Adaptive and Multimodality Imaging.
Proc. IEEE
Eric Clarkson, Matthew A. Kupinski, Harrison H. Barrett, Lars R. Furenlid
2008 J jnl
Adaptive SPECT.
IEEE Trans. Medical Imaging
Harrison H. Barrett, L. R. Furenlid, M. Freed, J. Y. Hesterman, Matthew A. Kupinski, Eric Clarkson, M. K. Whitaker
2008 — conf
Adaptive small-animal SPECT/CT.
ISBI
L. R. Furenlid, J. W. Moore, M. Freed, Matthew A. Kupinski, Eric Clarkson, Z. Liu, D. W. Wilson, James M. Woolfenden, Harrison H. Barrett
2004 — conf
Image-Quality Assessment in Optical Tomography.
ISBI
Matthew A. Kupinski, Eric Clarkson
2003 — conf
Ideal-Observer Performance under Signal and Background Uncertainty.
IPMI
Subok Park, Matthew A. Kupinski, Eric Clarkson, Harrison H. Barrett
2003 A* conf
Predicting Accuracy in Pose Estimation for Marker-based Tracking.
ISMAR
Larry S. Davis, Eric Clarkson, Jannick P. Rolland
2002 — conf
Methods for Designing Head-Tracking Probes.
JCIS
Larry S. Davis, Jannick P. Rolland, Rebecca Parsons, Eric Clarkson
2002 — conf
Methods for Designing Head-Tracking Probes.
JCIS
Larry S. Davis, Jannick P. Rolland, Rebecca Parsons, Eric Clarkson
2002 J jnl
Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard.
IEEE Trans. Medical Imaging
John W. Hoppin, Matthew A. Kupinski, George A. Kastis, Eric Clarkson, Harrison H. Barrett
2001 J jnl
Chemical-shift Imaging Utilizing the Positional Shifts along the Readout Gradient Direction.
IEEE Trans. Medical Imaging
Maria I. Altbach, Theodore P. Trouard, Rik Van de Walle, Rebecca J. Theilman, Eric Clarkson, Harrison H. Barrett, Arthur F. Gmitro
2001 J jnl
Comments on the Filtered Backprojection Algorithm, Range Conditions, and the Pseudoinverse Solution.
IEEE Trans. Medical Imaging
Mark A. Anastasio, Xiaochuan Pan, Eric Clarkson
2001 — conf
Estimability of Spatio-temporal Activation in fMRI.
IPMI
Andre Lehovich, Harrison H. Barrett, Eric Clarkson, Arthur F. Gmitro
2001 B conf
Feature extraction method based on the ideal observer.
Image Processing
Hongbin Zhang, Eric Clarkson, Harrison H. Barrett
2001 B conf
Nonlinear discriminant analysis.
Image Processing
Hongbin Zhang, Eric Clarkson, Harrison H. Barrett
2001 — conf
Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard.
IPMI
John W. Hoppin, Matthew A. Kupinski, George A. Kastis, Eric Clarkson, Harrison H. Barrett
2000 J jnl
A high resolution synthetic collimator for reconstructing 2D and 3D radiotracer distributions.
IEEE Trans. Medical Imaging
D. W. Wilson, Harrison H. Barrett, Eric Clarkson
2000 J jnl
Angular Channels in a Multidimensional Wavelet Transform.
SIAM J. Math. Anal.
Eric Clarkson
1998 J jnl
A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model.
Medical Image Anal.
Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
1997 — conf
Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model.
IPMI
Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
1997 — conf
Bayesian Detection with Amplitude, Scale, Orientation and Position Uncertainty.
IPMI
Eric Clarkson, Harrison H. Barrett