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M A Kupinski

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Medical Imaging|October 26, 1999
Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curvesM A Kupinski, M A Anastasio
Medical Physics|October 27, 1999
Feature selection with limited datasetsM A Kupinski, M L Giger
IEEE Transactions on Medical Imaging|December 9, 1998
Automated seeded lesion segmentation on digital mammogramsM A Kupinski, M L Giger
IEEE Transactions on Medical Imaging|February 27, 1999
Optimization and FROC analysis of rule-based detection schemes using a multiobjective approachM A Anastasio, M A Kupinski, R M Nishikawa
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
Ideal-observer performance under signal and background uncertaintyS Park, M A Kupinski, E Clarkson, et al.
IEEE Transactions on Medical Imaging|October 5, 2001
Ideal observer approximation using Bayesian classification neural networksM A Kupinski, D C Edwards, M L Giger, et al.
IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium|December 1, 2015
ADAPTIVE SMALL-ANIMAL SPECT/CTL R Furenlid, J W Moore, M Freed, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Medical Imaging|October 26, 1999
Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curvesM A Kupinski, M A Anastasio
Medical Physics|October 27, 1999
Feature selection with limited datasetsM A Kupinski, M L Giger
IEEE Transactions on Medical Imaging|December 9, 1998
Automated seeded lesion segmentation on digital mammogramsM A Kupinski, M L Giger
IEEE Transactions on Medical Imaging|February 27, 1999
Optimization and FROC analysis of rule-based detection schemes using a multiobjective approachM A Anastasio, M A Kupinski, R M Nishikawa
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
Ideal-observer performance under signal and background uncertaintyS Park, M A Kupinski, E Clarkson, et al.
IEEE Transactions on Medical Imaging|October 5, 2001
Ideal observer approximation using Bayesian classification neural networksM A Kupinski, D C Edwards, M L Giger, et al.
IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium|December 1, 2015
ADAPTIVE SMALL-ANIMAL SPECT/CTL R Furenlid, J W Moore, M Freed, et al.
Pageof 1