Clinical Validation of the Automated Characterization of Cone Size and Center in Keratoconic Corneas-Reference-Cited by-同舟云学术

Clinical Validation of the Automated Characterization of Cone Size and Center in Keratoconic Corneas

Published:2021-06 Issue:6 Volume:37 Page:414-421
ISSN:1081-597X
Container-title:Journal of Refractive Surgery
language:en
Short-container-title:J Refract Surg

Author:

Lopes Bernardo,Padmanabhan Prema,Zhang Haixia,Abass Ahmed,Eliasy Ashkan,Bandeira Francisco,Bao Fanjung,Bühren Jens,Elmassry Ahmed,Faria-Correia Fernando,Rocha Karolinne,Rechichi Miguel,Romano Vito,Torres-Netto Emilio A.,Vinciguerra Riccardo,Vinciguerra Paolo,Elsheikh Ahmed

Publisher

SLACK, Inc.

Subject

Ophthalmology,Surgery

Reference41 articles.

1. A review of keratoconus: Diagnosis, pathophysiology, and genetics

2. A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening

3. Efficacy and safety of transepithelial corneal collagen crosslinking surgery versus standard corneal collagen crosslinking surgery for keratoconus: a meta-analysis of randomized controlled trials

4. Differences in central and non-central keratoconus, and their effect on the objective screening thresholds for keratoconus

5. Cone Dimensions in Keratoconus Using Zernike Polynomials

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1. Determining the center of a keratoconus: Comparison of different tomographic parameters and impact of disease severity;Frontiers in Medicine;2022-09-20

2. In vivo Assessment of Localised Corneal Biomechanical Deterioration With Keratoconus Progression;Frontiers in Bioengineering and Biotechnology;2022-06-08

3. In Vivo Corneal Stiffness Mapping by the Stress-Strain Index Maps and Brillouin Microscopy;Current Eye Research;2022-05-30