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Eric Clarkson
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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. Medical Imaging: 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. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j10]Jesse Adams
, Jessica Pillow, Kevin Joyce, Michael Brennan
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. Medical Imaging: 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
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. Medical Imaging: Image Processing 2001 - [c3]Hongbin Zhang, Eric Clarkson, Harrison H. Barrett:
Nonlinear discriminant analysis. Medical Imaging: 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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