Matthew A. Kupinski

Publication Activity (10 Years)

Years Active: 1997-2021
Publications (10 Years): 6

Top Topics

Texture Analysis

Image Reconstruction

Variational Bayesian Inference

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Publications

Matthew A. Kupinski, Jiahua Fan
Observer models utilizing compressed textures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Matthew A. Kupinski, Zachary Garrett, Jiahua Fan
Observer-driven texture analysis in CT imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Yujia Chen, Yang Lou, Kun Wang, Matthew A. Kupinski, Mark A. Anastasio
Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference. IEEE Trans. Medical Imaging 38 (5) (2019)
Yujia Chen, Yang Lou, Kun Wang, Matthew A. Kupinski, Mark A. Anastasio
Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference. CoRR (2019)
Christopher J. MacGahan, Matthew A. Kupinski, Nathan R. Hilton, Erik M. Brubaker, William C. Johnson
Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data. CoRR (2016)
Hsin-Wu Tseng, Jiahua Fan, Matthew A. Kupinski, William Balhorn, Darin R. Okerlund
Quantitative image quality evaluation for cardiac CT reconstructions. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Eric Clarkson, Matthew A. Kupinski
Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging. SIAM J. Imaging Sci. 2 (1) (2009)
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)
Eric Clarkson, Matthew A. Kupinski, Harrison H. Barrett, Lars R. Furenlid
A Task-Based Approach to Adaptive and Multimodality Imaging. Proc. IEEE 96 (3) (2008)
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) (2008)
Darrin C. Edwards, Charles E. Metz, Matthew A. Kupinski
Ideal observers and optimal ROC hypersurfaces in N-class classification. IEEE Trans. Medical Imaging 23 (7) (2004)
Matthew A. Kupinski, Eric Clarkson
Image-Quality Assessment in Optical Tomography. ISBI (2004)
Matthew A. Kupinski
Guest editor's introduction - Computing in optics. Comput. Sci. Eng. 5 (6) (2003)
Subok Park, Matthew A. Kupinski, Eric Clarkson, Harrison H. Barrett
Ideal-Observer Performance under Signal and Background Uncertainty. IPMI (2003)
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) (2002)
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)
Matthew A. Kupinski, Darrin C. Edwards, Maryellen L. Giger, Charles E. Metz
Ideal Observer Approximation Using Bayesian Classification Neural Networks. IEEE Trans. Medical Imaging 20 (9) (2001)
Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Medical Imaging: Image Processing (2001)
Matthew A. Kupinski, Mark A. Anastasio, Maryellen Lissak Giger
Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography. Medical Imaging: Image Processing (2000)
Matthew A. Kupinski, Mark A. Anastasio
Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating ROC Curves. IEEE Trans. Medical Imaging 18 (8) (1999)
Matthew A. Kupinski, Maryellen L. Giger
Automated Seeded Lesion Segmentation on Digital Mammograms. IEEE Trans. Medical Imaging 17 (4) (1998)
Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach. IEEE Trans. Medical Imaging 17 (6) (1998)
Matthew A. Kupinski, Maryellen L. Giger
Feature selection and classifiers for the computerized detection of mass lesions in digital mammography. ICNN (1997)