[HTML][HTML] Bayesian inference of two-dimensional contrast sensitivity function from data obtained with classical one-dimensional algorithms is efficient
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …
[HTML][HTML] Bayesian Inference of Two-Dimensional Contrast Sensitivity Function from Data Obtained with Classical One-Dimensional Algorithms Is Efficient
X Wang, H Wang, J Huang, Y Zhou… - Frontiers in …, 2016 - ncbi.nlm.nih.gov
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …
Bayesian Inference of Two-Dimensional Contrast Sensitivity Function from Data Obtained with Classical One-Dimensional Algorithms Is Efficient
X Wang, H Wang, J Huang, Y Zhou… - Frontiers in …, 2017 - pubmed.ncbi.nlm.nih.gov
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …
Bayesian Inference of Two-Dimensional Contrast Sensitivity Function from Data Obtained with Classical One-Dimensional Algorithms Is Efficient.
X Wang, H Wang, J Huang, Y Zhou… - Frontiers in …, 2017 - search.ebscohost.com
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …
Bayesian Inference of Two-Dimensional Contrast Sensitivity Function from Data Obtained with Classical One-Dimensional Algorithms Is Efficient.
X Wang, H Wang, J Huang, Y Zhou… - Frontiers in …, 2017 - europepmc.org
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …
Bayesian Inference of Two-Dimensional Contrast Sensitivity Function from Data Obtained with Classical One-Dimensional Algorithms Is Efficient.
X Wang, H Wang, J Huang, Y Zhou… - Frontiers in …, 2017 - europepmc.org
The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …
frequency is crucial in predicting functional vision both in research and clinical applications …