Assessment of a machine learning approach to predict subjective sphero-cylindrical correction using wavefront aberrometry data

被引:0
|
作者
Hernandez Torres, Carlos Santiago [1 ,2 ]
Gil Ruiz, Andrea [1 ,2 ]
Casares, Ignacio [1 ,2 ]
Poderoso, Jesus [1 ,2 ]
Wehse, Alec [2 ]
Dave, Shivang [2 ]
Lim, Daryl [2 ]
Sanchez Montanes, Manuel [3 ]
Lage Negro, Eduardo [1 ,2 ]
机构
[1] Univ Autonoma Madrid, Dept Tecnol Elect & Comun, Madrid, Spain
[2] PlenOpt Inc, Boston, MA USA
[3] Univ Autonoma Madrid, Dept Comp Sci, Madrid, Spain
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
F0022
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data
    Hernandez, Carlos S.
    Gil, Andrea
    Casares, Ignacio
    Poderoso, Jesus
    Wehse, Alec
    Dave, Shivang R.
    Lim, Daryl
    Sanchez-Montanes, Manuel
    Lage, Eduardo
    JOURNAL OF OPTOMETRY, 2022, 15 : S22 - S31
  • [2] Using Artificial Intelligence and Novel Polynomials to Accurately Predict Subjective Refraction from Ocular Wavefront Aberrometry
    Gatinel, Damien
    Debellemaniere, Guillaume
    Rampat, Radhika
    Malet, Jacques
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [3] A machine learning approach to predict radioxenon isotopes concentrations using experimental data
    Azimi, Sepideh Alsadat
    Afarideh, Hossein
    Chai, Jong-Seo
    Kalinowski, Martin
    RADIATION PHYSICS AND CHEMISTRY, 2023, 213
  • [4] Wavefront correction using machine learning methods for single molecule localization microscopy
    Tehrani, Kayvan F.
    Xu, Jianquan
    Kner, Peter
    ADAPTIVE OPTICS AND WAVEFRONT CONTROL FOR BIOLOGICAL SYSTEMS, 2015, 9335
  • [5] A machine learning approach to predict drilling rate using petrophysical and mud logging data
    Sabah, Mohammad
    Talebkeikhah, Mohsen
    Wood, David A.
    Khosravanian, Rasool
    Anemangely, Mohammad
    Younesi, Alireza
    EARTH SCIENCE INFORMATICS, 2019, 12 (03) : 319 - 339
  • [6] A machine learning approach to predict drilling rate using petrophysical and mud logging data
    Mohammad Sabah
    Mohsen Talebkeikhah
    David A. Wood
    Rasool Khosravanian
    Mohammad Anemangely
    Alireza Younesi
    Earth Science Informatics, 2019, 12 : 319 - 339
  • [7] Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach
    Tritsarolis, Andreas
    Chondrodima, Eva
    Pelekis, Nikos
    Theodoridis, Yannis
    2022 23RD IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2022), 2022, : 425 - 430
  • [8] A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data
    Ortega-Leon, Arantxa
    Khaled, Roa'a
    Rodriguez-Garcia, Maria Inmaculada
    Urda, Daniel
    Turias, Ignacio J.
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2023, PT I, 2023, 13919 : 419 - 430
  • [9] Using machine learning to predict student difficulties from learning session data
    Mushtaq Hussain
    Wenhao Zhu
    Wu Zhang
    Syed Muhammad Raza Abidi
    Sadaqat Ali
    Artificial Intelligence Review, 2019, 52 : 381 - 407
  • [10] Using machine learning to predict student difficulties from learning session data
    Hussain, Mushtaq
    Zhu, Wenhao
    Zhang, Wu
    Abidi, Syed Muhammad Raza
    Ali, Sadaqat
    ARTIFICIAL INTELLIGENCE REVIEW, 2019, 52 (01) : 381 - 407