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

Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence

(2018) Bernardo T. Lopes et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

Distinguishing Highly Asymmetric Keratoconus Eyes Using Combined Scheimpflug and Spectral Domain OCT Analysis

(2018) Eric S. Hwang et al.   OPHTHALMOLOGY

Automated Diabetic Retinopathy Image Assessment Software

(2017) Adnan Tufail et al.   OPHTHALMOLOGY

Automated Identification of Diabetic Retinopathy Using Deep Learning

(2017) Rishab Gargeya et al.   OPHTHALMOLOGY

Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography

(2016) Irene Ruiz Hidalgo et al.   CORNEA

An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness

(2016) Adnan Tufail et al.   HEALTH TECHNOLOGY ASSESSMENT

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus

(2016) Illés Kovács et al.   JOURNAL OF CATARACT AND REFRACTIVE SURGERY

Combining Placido and Corneal Wavefront Data for the Detection of Forme Fruste Keratoconus

(2016) Alain Saad et al.   JOURNAL OF REFRACTIVE SURGERY

Big Data and Uveitis

(2016) Cecilia S. Lee et al.   OPHTHALMOLOGY

Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier

(2016) Ryo Asaoka et al.   OPHTHALMOLOGY

Plus Disease in Retinopathy of Prematurity

(2016) Jayashree Kalpathy-Cramer et al.   OPHTHALMOLOGY

Corneal Cross-linking to Halt the Progression of Keratoconus and Corneal Ectasia: Seven-Year Follow-up

(2015) David P.S. O'Brart et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

The Genetic and Environmental Factors for Keratoconus

(2015) Ariela Gordon-Shaag et al.   Biomed Research International

Detecting abnormality in optic nerve head images using a feature extraction analysis

(2014) Haogang Zhu et al.   Biomedical Optics Express

Detection of Subclinical Keratoconus Using an Automated Decision Tree Classification

(2013) David Smadja et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

The Genetics of Keratoconus

(2013) Han-Ying Peggy Chang et al.   Seminars in Ophthalmology

Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations

(2011) Murilo Barreto Souza et al.   Clinics

Evaluation of a Risk Factor Scoring System for Corneal Ectasia After LASIK in Eyes with Normal Topography

(2010) Perry S. Binder et al.   JOURNAL OF REFRACTIVE SURGERY

Corneal Cross Linking for Keratoconus

(2010) Anne Keating et al.   Seminars in Ophthalmology

Validation of the Ectasia Risk Score System for Preoperative Laser In Situ Keratomileusis Screening

(2008) J. Bradley Randleman et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

Neural networks and statistical analysis for classification of corneal videokeratography maps based on Zernike coefficients: a quantitative comparison

(2008) Luis Alberto Vieira de Carvalho et al.   ARQUIVOS BRASILEIROS DE OFTALMOLOGIA

CLMI

(2008) Ashraf M Mahmoud et al.   CORNEA

Risk factors for ectasia after LASIK

(2008) Perry S. Binder   JOURNAL OF CATARACT AND REFRACTIVE SURGERY

Risk Assessment for Ectasia after Corneal Refractive Surgery

(2007) J. Bradley Randleman et al.   OPHTHALMOLOGY