Showing results (11-20 of 961) with videos related to
Sort By:
Pageof 97
Medical Physics|September 8, 2007
Hardware assessment using the multi-module, multi-resolution system (M3R): a signal-detection studyJacob Y Hesterman, Matthew A Kupinski, Eric Clarkson, et al.Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 13, 2003
Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniquesMatthew A Kupinski, John W Hoppin, Eric Clarkson, et al.Proceedings of Spie--The International Society for Optical Engineering|August 4, 2015
Joint reconstruction of activity and attenuation map using LM SPECT emission dataAbhinav K Jha, Eric Clarkson, Matthew A Kupinski, et al.Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 13, 2003
Experimental determination of object statistics from noisy imagesMatthew A Kupinski, Eric Clarkson, John W Hoppin, et al.Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 7, 2007
Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signalSubok Park, Harrison H Barrett, Eric Clarkson, et al.Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 4, 2012
Three-dimensional Neumann-series approach to model light transport in nonuniform mediaAbhinav K Jha, Matthew A Kupinski, Harrison H Barrett, et al.Proceedings of Spie--The International Society for Optical Engineering|June 1, 2011
Evaluation of hardware in a small-animal SPECT system using reconstructed imagesJacob Y Hesterman, Matthew A Kupinski, Eric Clarkson, et al.Academic Radiology|March 13, 2002
Estimation in medical imaging without a gold standardMatthew A Kupinski, John W Hoppin, Eric Clarkson, et al.IEEE Transactions on Medical Imaging|June 20, 2002
Objective comparison of quantitative imaging modalities without the use of a gold standardJohn W Hoppin, Matthew A Kupinski, George A Kastis, et al.Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 3, 2020
Probability of error for detecting a change in a parameter and Bayesian Fisher informationEric ClarksonPageof 97