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2020 – today
- 2023
[c17]Dan Li, Eric Clarkson:
Approximating the idea observer on list mode data with comparison to CNN methods. Image Perception, Observer Performance, and Technology Assessment 2023- 2022
- [c16]Dan Li, Eric Clarkson:
Performance of list mode Hotelling observer and comparison to a neural network observer. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j10]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:
An approach to characterizing spatial aspects of image system blur. Stat. Anal. Data Min. 14(6): 583-595 (2021) - 2020
- [c15]Eric Clarkson:
Bayesian Fisher Information, Shannon Information, and ROC Analysis for Classification Tasks. ACSSC 2020: 1365-1369 - [c14]Eric Clarkson:
Bayesian Fisher Information and Detection of a Small Change in a Parameter. CISS 2020: 1-5
2010 – 2019
- 2019
- [i4]Eric Clarkson:
Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information. CoRR abs/1902.00099 (2019) - [i3]Eric Clarkson:
The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter. CoRR abs/1902.00103 (2019) - [i2]Eric Clarkson:
Quantifying the Loss of Information from Binning List-Mode Data. CoRR abs/1902.04606 (2019) - [i1]Eric Clarkson:
Inequalities and Approximations for Fisher Information in the Presence of Nuisance Parameters. CoRR abs/1902.04607 (2019) - 2016
- [c13]Meredith K. Kupinski, Eric Clarkson, Michael Ghaly, Eric C. Frey:
Applying the J-optimal channelized quadratic observer to SPECT myocardial perfusion defect detection. Image Perception, Observer Performance, and Technology Assessment 2016: 978708
2000 – 2009
- 2009
- [j9]Eric Clarkson, Matthew A. Kupinski:
Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging. SIAM J. Imaging Sci. 2(1): 203-225 (2009) - 2008
- [j8]Eric Clarkson, Matthew A. Kupinski, Harrison H. Barrett, Lars R. Furenlid:
A Task-Based Approach to Adaptive and Multimodality Imaging. Proc. IEEE 96(3): 500-511 (2008) - [j7]Harrison H. Barrett, L. R. Furenlid, M. Freed, J. Y. Hesterman, Matthew A. Kupinski, Eric Clarkson, M. K. Whitaker:
Adaptive SPECT. IEEE Trans. Medical Imaging 27(6): 775-788 (2008) - [c12]L. R. Furenlid, J. W. Moore, M. Freed, Matthew A. Kupinski, Eric Clarkson, Z. Liu, D. W. Wilson, James M. Woolfenden, Harrison H. Barrett:
Adaptive small-animal SPECT/CT. ISBI 2008: 1407-1410 - 2004
- [c11]Matthew A. Kupinski, Eric Clarkson:
Image-Quality Assessment in Optical Tomography. ISBI 2004: 1471-1474 - 2003
- [c10]Subok Park, Matthew A. Kupinski, Eric Clarkson, Harrison H. Barrett:
Ideal-Observer Performance under Signal and Background Uncertainty. IPMI 2003: 342-353 - [c9]Larry S. Davis, Eric Clarkson, Jannick P. Rolland:
Predicting Accuracy in Pose Estimation for Marker-based Tracking. ISMAR 2003: 28-35 - 2002
- [j6]John W. Hoppin, Matthew A. Kupinski, George A. Kastis, Eric Clarkson, Harrison H. Barrett:
Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard. IEEE Trans. Medical Imaging 21(5): 441-449 (2002) - [c8]Larry S. Davis, Jannick P. Rolland, Rebecca Parsons, Eric Clarkson:
Methods for Designing Head-Tracking Probes. JCIS 2002: 498-502 - [c7]Larry S. Davis, Jannick P. Rolland, Rebecca Parsons, Eric Clarkson:
Methods for Designing Head-Tracking Probes. JCIS 2002: 1357-1361 - 2001
- [j5]Mark A. Anastasio, Xiaochuan Pan, Eric Clarkson:
Comments on the Filtered Backprojection Algorithm, Range Conditions, and the Pseudoinverse Solution. IEEE Trans. Medical Imaging 20(6): 539-542 (2001) - [j4]Maria I. Altbach, Theodore P. Trouard, Rik Van de Walle, Rebecca J. Theilman, Eric Clarkson, Harrison H. Barrett, Arthur F. Gmitro:
Chemical-shift Imaging Utilizing the Positional Shifts along the Readout Gradient Direction. IEEE Trans. Medical Imaging 20(11): 1156-1166 (2001) - [c6]John W. Hoppin, Matthew A. Kupinski, George A. Kastis, Eric Clarkson, Harrison H. Barrett:
Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard. IPMI 2001: 12-23 - [c5]Andre Lehovich, Harrison H. Barrett, Eric Clarkson, Arthur F. Gmitro:
Estimability of Spatio-temporal Activation in fMRI. IPMI 2001: 259-271 - [c4]Hongbin Zhang, Eric Clarkson, Harrison H. Barrett:
Feature extraction method based on the ideal observer. Image Processing 2001 - [c3]Hongbin Zhang, Eric Clarkson, Harrison H. Barrett:
Nonlinear discriminant analysis. Image Processing 2001 - 2000
- [j3]Eric Clarkson:
Angular Channels in a Multidimensional Wavelet Transform. SIAM J. Math. Anal. 32(1): 80-102 (2000) - [j2]D. W. Wilson, Harrison H. Barrett, Eric Clarkson:
A high resolution synthetic collimator for reconstructing 2D and 3D radiotracer distributions. IEEE Trans. Medical Imaging 19(5): 412-422 (2000)
1990 – 1999
- 1998
- [j1]Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki:
A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model. Medical Image Anal. 2(4): 395-403 (1998) - 1997
- [c2]Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki:
Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model. IPMI 1997: 167-175 - [c1]Eric Clarkson, Harrison H. Barrett:
Bayesian Detection with Amplitude, Scale, Orientation and Position Uncertainty. IPMI 1997: 549-554
Coauthor Index
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