… a multi-dimensional Bayesian framework to estimate parameters of the CSF from … Bayesian
framework for estimating CSF from experiments sampled by usual psychometric methods…

… contrast sensitivity function method to characterise the full … ) and used to measure contrast
sensitivity function (CSF) in retinal … An adaptive Bayesian active learning algorithm used a one-…

… the quick CSF (qCSF) method to measure visual function in … the Manifold Platform (Adaptive
Sensory Technology, San … device uses an adaptive computerised Bayesian algorithm to …

… In the present paper, we evaluate the quick CSF method in a … We analyze the relationship
between quick CSF results on … , TD Bayesian adaptive estimation of the contrast sensitivity …

… For these reasons, we choose to evaluate the quick CSF method using techniques from …
, “Bayesian adaptive estimation of the contrast sensitivity function: The quick CSF method,” J…

… In this study, we extended the qVFM method to measure contrast sensitivity across the visual
field. In both simulations and psychophysics, we sampled 64 visual field locations (48 x 48 …

… The result is a highly flexible but relatively inefficient CSF estimation method. Such … contrast
sensitivity function (MLCSF) as our functional estimate comparable to other CSF estimation …

… The traditional methods for measuring full CS functions (… the feasibility of using the quick
CSF method in a low vision … conventional methods by applying a Bayesian adaptive algorithm …

… Purpose:To characterize contrast sensitivity function (CSF) in … We propose that novel
Bayesian analytics can reduce the … employing a novel active learning quick CSF (qCSF) method. …

… in 24- and 36-month-olds as assessed with the contrast sensitivity card procedure. Optometry
and Visual Science: Official Publication of the American Academy of Optometry, 70, 97–101…