Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks

26 January 2020

Papers citing "Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks"

4 / 4 papers shown

Title
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks Weimin Zhou Umberto Villa M. Anastasio 22 7 0 02 Apr 2023
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging Varun A. Kelkar Dimitrios S. Gotsis F. Brooks Kyle J. Myers Prabhat Kc R. Zeng M. Anastasio MedIm 22 1 0 07 Apr 2022
Impact of deep learning-based image super-resolution on binary signal detection Xiaohui Zhang Varun A. Kelkar Jason L. Granstedt Hua Li M. Anastasio MedIm 10 23 0 06 Jul 2021
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks Weimin Zhou Sayantan Bhadra F. Brooks Hua Li M. Anastasio GAN MedIm 23 17 0 27 Jun 2021