[HTML][HTML] Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes

F Hou, LA Lesmes, W Kim, H Gu, MA Pitt… - Journal of …, 2016 - tvst.arvojournals.org
… By exploiting the Bayesian foundation of the quick CSF method (Lesmes, Lu, Baek, & … of
the quick CSF method with the correlation between repeated measures of contrast sensitivity

[PDF][PDF] A novel Bayesian approach to testing and analyzing visual acuity

LA Lesmes - Investigative Ophthalmology & Visual …, 2018 - adaptivesensorytech.com
… -OCT) and testing of the contrast sensitivity function (CSF) using the quick CSF (qCSF)
algorithm … (Adaptive Sensory Technology, San Diego, CA). The contrast sensitivity function was …

[HTML][HTML] A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity function

H Gu, W Kim, F Hou, LA Lesmes, MA Pitt… - Journal of …, 2016 - tvst.arvojournals.org
… HADO in estimating the human contrast sensitivity function. The … and precision of parameter
estimates, and therefore requires … CSF describes how contrast sensitivity (reciprocal contrast

[HTML][HTML] Efficient characterization and classification of contrast sensitivity functions in aging

FF Yan, F Hou, ZL Lu, X Hu, CB Huang - Scientific reports, 2017 - nature.com
CSF estimates from each run of the quick CSF method, we sampled 1,000 sets of CSF
parameters from the posterior distribution of CSF … the quick CSF method, which adopts a Bayesian

[HTML][HTML] Measuring the contrast sensitivity function using the qCSF method with 10 digits

H Zheng, C Wang, R Cui, X He, M Shen… - … Vision Science & …, 2018 - jov.arvojournals.org
… Purpose: The Bayesian adaptive quick contrast sensitivity function (qCSF) method with a
10-letter … developed the Bayesian adaptive quick CSF (qCSF) method to efficiently measure the …

[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 …, 2017 - frontiersin.org
… -dimensional sampling methods, such as quick contrast sensitivity function and … Bayesian
inference was used to estimate CSF from data sampled by four disparate adaptive methods

[PDF][PDF] Speeding up the quantification of Contrast Sensitivity functions using Multidimensional Bayesian Active Learning

S Shaffiey - 2022 - openscholarship.wustl.edu
… 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

[HTML][HTML] Predicting individual contrast sensitivity functions from acuity and letter contrast sensitivity measurements

SM Thurman, PG Davey, KL McCray… - Journal of …, 2016 - iovs.arvojournals.org
… On this count, we believe the quick CSF has proven the best potential in terms of delivering
… of a specific underlying functional form of the CSF, these methods are not without potential …

[HTML][HTML] Hierarchical Bayesian modeling of contrast sensitivity functions in a within-subject design

Y Zhao, LA Lesmes, F Hou, ZL Lu - Journal of Vision, 2021 - jov.arvojournals.org
… 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

Bayesian Inference of Two-Dimensional Contrast Sensitivity Functions

X Wang, H Wang, J Huang, T Tzvetanov, Y Zhou - bioRxiv, 2016 - biorxiv.org
… a multi-dimensional Bayesian framework to estimate parameters of the CSF from … Bayesian
framework for estimating CSF from experiments sampled by usual psychometric methods