AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements

2 February 2024

Papers citing "AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements"

5 / 5 papers shown

Title
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks Weimin Zhou Umberto Villa M. Anastasio 54 8 0 02 Apr 2023
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 96 17 0 27 Jun 2021
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods Weimin Zhou Hua Li M. Anastasio 31 30 0 29 May 2020
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks Jason L. Granstedt Weimin Zhou M. Anastasio 54 5 0 04 Mar 2020
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods Weimin Zhou Hua Li M. Anastasio 44 67 0 15 May 2019