2 papers
eess.SP2023
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
Weimin Zhou, Umberto Villa, Mark A. Anastasio
Medical imaging systems are often evaluated and optimized via objective, or task-specific, measures of image quality (IQ) that quantify the performance of an observer on a specific…
eess.SP2021
A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods
Kaiyan Li, Weimin Zhou, Hua Li +1
The ideal observer (IO) sets an upper performance limit among all observers and has been advocated for assessing and optimizing imaging systems. For general joint detection and est…