Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods

29 May 2020

Papers citing "Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods"

4 / 4 papers shown

Title
Using gradient of Lagrangian function to compute efficient channels for the ideal observer Weimin Zhou 73 0 0 31 Jan 2025
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks Weimin Zhou Umberto Villa M. Anastasio 24 7 0 02 Apr 2023
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection Joshua Herman Rachel E. Roca Alexandra G. OÑeill M. L. Wong S. Lingala A. Pineda 37 0 0 21 Oct 2022
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 25 17 0 27 Jun 2021