Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks

2 April 2023

Papers citing "Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks"

6 / 6 papers shown

Title
Using gradient of Lagrangian function to compute efficient channels for the ideal observer Weimin Zhou 71 0 0 31 Jan 2025
Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data Wentao Chen Xichen Xu Jie Luo Weimin Zhou MedIm 11 3 0 02 Feb 2024
AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements Xichen Xu Wentao Chen Weimin Zhou MedIm DiffM 11 2 0 02 Feb 2024
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 25 6 0 09 Sep 2023
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks Jason L. Granstedt Weimin Zhou M. Anastasio 6 5 0 04 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018