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Approximating the Hotelling Observer with Autoencoder-Learned Efficient
  Channels for Binary Signal Detection Tasks

Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks

Journal of Medical Imaging (JMI), 2020
4 March 2020
Jason L. Granstedt
Weimin Zhou
M. Anastasio
ArXiv (abs)PDFHTML

Papers citing "Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks"

3 / 3 papers shown
Using gradient of Lagrangian function to compute efficient channels for the ideal observer
Using gradient of Lagrangian function to compute efficient channels for the ideal observer
Weimin Zhou
252
0
0
31 Jan 2025
Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
Wentao Chen
Xichen Xu
Jie Luo
Weimin Zhou
MedIm
256
6
0
02 Feb 2024
AmbientCycleGAN for Establishing Interpretable Stochastic Object Models
  Based on Mathematical Phantoms and Medical Imaging Measurements
AmbientCycleGAN for Establishing Interpretable Stochastic Object Models Based on Mathematical Phantoms and Medical Imaging Measurements
Xichen Xu
Wentao Chen
Weimin Zhou
MedImDiffM
187
3
0
02 Feb 2024
1
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