Výsledky vyhledávání

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Bounds on mutual information of mixture data for classification tasks

Autor: Ding, Yijun, Ashok, Amit

The data for many classification problems, such as pattern and speech recognition, follow mixture distributions. To quantify the optimum performance for classification tasks, the Shannon mutual information is a natural information-theoretic metric, a

Externí odkaz: http://arxiv.org/abs/2101.11670

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Invertibility of Multi-Energy X-ray Transform

Autor: Ding, Yijun, Clarkson, Eric W., Ashok, Amit

Purpose: The goal is to provide a sufficient condition on the invertibility of a multi-energy (ME) X-ray transform. The energy-dependent X-ray attenuation profiles can be represented by a set of coefficients using the Alvarez-Macovski (AM) method. An

Externí odkaz: http://arxiv.org/abs/2007.04487

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X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis

Autor: Ding, Yijun, Ashok, Amit

Extending our prior work, we propose a multi-energy X-ray measurement model incorporating material variability with energy correlations to enable the analysis and exploration of the performance of X-ray imaging and sensing systems. Based on this meas

Externí odkaz: http://arxiv.org/abs/2002.11046

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Akademický článek

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Report

Quantifying allowable motion to achieve safe dose escalation in pancreatic SBRT

Autor: Ding, Yijun, Campbell, Warren G., Miften, Moyed, Vinogradskiy, Yevgeniy, Goodman, Karyn A., Schefter, Tracey E., Jones, Bernard L.

Tumor motion plays a key role in the safe delivery of Stereotactic Body Radiotherapy (SBRT) for pancreatic cancer. The purpose of this study was to use tumor motion data measured in patients to establish limits on motion magnitude for safe delivery o

Externí odkaz: http://arxiv.org/abs/1906.01564

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Dissertation/ Thesis

Charged-Particle Emission Tomography

Autor: Ding, Yijun

Conventional charged-particle imaging techniques--such as autoradiography--provide only two-dimensional (2D) images of thin tissue slices. To get volumetric information, images of multiple thin slices are stacked. This process is time consuming and p

Externí odkaz: http://hdl.handle.net/10150/621830
http://arizona.openrepository.com/arizona/handle/10150/621830

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Akademický článek

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