Matthew A. Kupinski

According to our database, Matthew A. Kupinski authored at least 21 papers between 1997 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Observer models utilizing compressed textures.

Matthew A. Kupinski, Jiahua Fan

Proceedings of the Medical Imaging 2021: Image Perception, 2021

2020

Observer-driven texture analysis in CT imaging.

Matthew A. Kupinski, Zachary Garrett, Jiahua Fan

Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019

Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference.

Yujia Chen, Yang Lou, Kun Wang, Matthew A. Kupinski, Mark A. Anastasio

IEEE Trans. Medical Imaging, 2019

2016

Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data.

Christopher J. MacGahan, Matthew A. Kupinski, Nathan R. Hilton, Erik M. Brubaker, William C. Johnson

CoRR, 2016

Quantitative image quality evaluation for cardiac CT reconstructions.

Hsin-Wu Tseng, Jiahua Fan, Matthew A. Kupinski, William Balhorn, Darin R. Okerlund

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2009

Global Compartmental Pharmacokinetic Models for Spatiotemporal SPECT and PET Imaging.

Eric Clarkson, Matthew A. Kupinski

SIAM J. Imaging Sci., 2009

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

A Task-Based Approach to Adaptive and Multimodality Imaging.

Eric Clarkson, Matthew A. Kupinski, Harrison H. Barrett, Lars R. Furenlid

Proc. IEEE, 2008

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

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2004

Ideal observers and optimal ROC hypersurfaces in N-class classification.

Darrin C. Edwards, Charles E. Metz, Matthew A. Kupinski

IEEE Trans. Medical Imaging, 2004

Image-Quality Assessment in Optical Tomography.

Matthew A. Kupinski, Eric Clarkson

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

Guest editor's introduction - Computing in optics.

Matthew A. Kupinski

Comput. Sci. Eng., 2003

Ideal-Observer Performance under Signal and Background Uncertainty.

Subok Park, Matthew A. Kupinski, Eric Clarkson, Harrison H. Barrett

Proceedings of the Information Processing in Medical Imaging, 2003

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

2001

Ideal Observer Approximation Using Bayesian Classification Neural Networks.

Matthew A. Kupinski, Darrin C. Edwards, Maryellen L. Giger, Charles E. Metz

IEEE Trans. Medical Imaging, 2001

Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network.

Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa

Proceedings of the Medical Imaging 2001: Image Processing, 2001

2000

Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography.

Matthew A. Kupinski, Mark A. Anastasio, Maryellen Lissak Giger

Proceedings of the Medical Imaging 2000: Image Processing, 2000

1999

Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating ROC Curves.

Matthew A. Kupinski, Mark A. Anastasio

IEEE Trans. Medical Imaging, 1999

1998

Automated Seeded Lesion Segmentation on Digital Mammograms.

Matthew A. Kupinski, Maryellen L. Giger

IEEE Trans. Medical Imaging, 1998

Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach.

Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa

IEEE Trans. Medical Imaging, 1998

1997

Feature selection and classifiers for the computerized detection of mass lesions in digital mammography.

Matthew A. Kupinski, Maryellen L. Giger

Proceedings of International Conference on Neural Networks (ICNN'97), 1997