99 citations · 386 across the 25 of their papers we have counts for
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eess.SP2020★ 15 cited
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
Weimin Zhou, Hua Li, Mark A. Anastasio
Medical imaging systems are commonly assessed and optimized by use of objective measures of image quality (IQ). The Ideal Observer (IO) performance has been advocated to provide a…
eess.SP2020★ 6 cited
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
Weimin Zhou, Mark A. Anastasio
The Ideal Observer (IO) performance has been advocated when optimizing medical imaging systems for signal detection tasks. However, analytical computation of the IO test statistic…
eess.SP2019★ 47 cited
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
Weimin Zhou, Hua Li, Mark A. Anastasio
It is widely accepted that optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the…