… The contrast sensitivity function (CSF) is a visual measure that describes how … Bayesian
adaptive estimation [15] is the method that is used to estimate 4 parameters of the CSF function …

… The contrast sensitivity function (CSF) describes how sensitivity (1/contrast threshold) to
narrow-… Some of the submitted works explored new methods for efficient CSF measurement. The …

… Recent development of the quick contrast sensitivity function (qCSF) method has made it …
efficient contrast sensitivity function (CSF) assessment. To improve statistical inference on CSF …

… 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 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 …

… A new approach, which delivers precise CSFs within less … -based quick CSF method (qCSF),
which uses Bayesian inference to … functions, the authors decided to characterize the CSF as …

… 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. …