Mr. John W. Hoppin Profile

John W. Hoppin

at Univ of Arizona

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Author

Publications (5)

SPIE Journal Paper | 2 May 2016

Therapy operating characteristic curves: tools for precision chemotherapy

Harrison Barrett, David Alberts, James Woolfenden, Luca Caucci, John Hoppin

JMI, Vol. 3, Issue 02, 023502, (May 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.2.023502

KEYWORDS: Molecules, Tumors, Data modeling, Mathematical modeling, Radiotherapy, Receptors, Diffusion, Capillaries, Diagnostics, Clinical trials

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Proceedings Article | 9 April 2015 Paper

Quantifying and reducing uncertainties in cancer therapy

Harrison Barrett, David Alberts, James Woolfenden, Zhonglin Liu, Luca Caucci, John Hoppin

Proceedings Volume 9412, 94120N (2015) https://doi.org/10.1117/12.2189093

KEYWORDS: Tumors, Radiotherapy, Mathematical modeling, Data modeling, Cancer, Diagnostics, Receptors, Medicine, Molecules, Capillaries

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Proceedings Article | 22 May 2003 Paper

Evaluating estimation techniques in medical imaging without a gold standard: experimental validation

John Hoppin, Matthew Kupinski, Donald Wilson, Todd Peterson, Benjamin Gershman, George Kastis, Eric Clarkson, Lars Furenlid, Harrison Barrett

Proceedings Volume 5034, (2003) https://doi.org/10.1117/12.480330

KEYWORDS: Gold, Single photon emission computed tomography, Statistical analysis, Image quality standards, Imaging systems, Medical imaging, Standards development, Heart, Computed tomography, Analytical research

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Proceedings Article | 22 May 2003 Paper

Assessing the accuracy of estimates of the likelihood ratio

Eric Clarkson, Matthew Kupinski, John Hoppin

Proceedings Volume 5034, (2003) https://doi.org/10.1117/12.480339

KEYWORDS: Statistical analysis, Signal detection, Imaging systems, Error analysis, Monte Carlo methods, Sensors, Electronic filtering, Signal to noise ratio, Receivers, Detector arrays

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Proceedings Article | 22 May 2003 Paper

Optimizing imaging hardware for estimation tasks

Matthew Kupinski, Eric Clarkson, Kevin Gross, John Hoppin

Proceedings Volume 5034, (2003) https://doi.org/10.1117/12.480337

KEYWORDS: Imaging systems, Signal detection, Medical imaging, Monte Carlo methods, Tumors, Image resolution, Systems modeling, Image quality, Interference (communication), Biomedical optics

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