Keratokonusdetektion und Ableitung des Ausprägungsgrades aus den Parametern des Corvis®ST
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Keratokonusdetektion und Ableitung des Ausprägungsgrades aus den Parametern des Corvis®ST
Authors
Keywords
-
Journal
OPHTHALMOLOGE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-24
DOI
10.1007/s00347-020-01231-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Role of Corneal Biomechanics for the Evaluation of Ectasia Patients
- (2020) Marcella Q. Salomão et al. International Journal of Environmental Research and Public Health
- Screening Candidates for Refractive Surgery With Corneal Tomographic–Based Deep Learning
- (2020) Yi Xie et al. JAMA Ophthalmology
- Biomechanics of the healthy and keratoconic corneas: A combination of the clinical data, finite element analysis, and artificial neural network
- (2019) Alireza Karimi et al. CURRENT PHARMACEUTICAL DESIGN
- KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
- (2019) Alexandru Lavric et al. Computational Intelligence and Neuroscience
- Assessment of corneal biomechanical parameters in healthy and keratoconic eyes using dynamic bidirectional applanation device and dynamic Scheimpflug analyzer
- (2019) Robert Herber et al. JOURNAL OF CATARACT AND REFRACTIVE SURGERY
- A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening
- (2019) Shawn R. Lin et al. Seminars in Ophthalmology
- Correlation Between Corneal Biomechanical Indices and the Severity of Keratoconus
- (2019) Shizuka Koh et al. CORNEA
- Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review
- (2019) Haneen Arafat Abu Alfeilat et al. Big Data
- Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung
- (2019) Jens Kleesiek et al. Onkologe
- Künstliche Intelligenz zur Entwicklung von Screening-Parametern im Bereich der kornealen Biomechanik
- (2019) Sven Reisdorf KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE
- Diagnostic Ability of Corneal Shape and Biomechanical Parameters for Detecting Frank Keratoconus
- (2018) Mohammad-Reza Sedaghat et al. CORNEA
- Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence
- (2018) Bernardo T. Lopes et al. AMERICAN JOURNAL OF OPHTHALMOLOGY
- The Future of Keratoconus Screening with Artificial Intelligence
- (2018) Stephen D. Klyce OPHTHALMOLOGY
- Keratoconus severity identification using unsupervised machine learning
- (2018) Siamak Yousefi et al. PLoS One
- Integration of Scheimpflug-Based Corneal Tomography and Biomechanical Assessments for Enhancing Ectasia Detection
- (2017) Renato Ambrósio et al. JOURNAL OF REFRACTIVE SURGERY
- Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography
- (2016) Irene Ruiz Hidalgo et al. CORNEA
- 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
- Detection of Keratoconus With a New Biomechanical Index
- (2016) Riccardo Vinciguerra et al. JOURNAL OF REFRACTIVE SURGERY
- Staging of Keratoconus Indices Regarding Tomography, Topography, and Biomechanical Measurements
- (2015) Susanne Goebels et al. AMERICAN JOURNAL OF OPHTHALMOLOGY
- Screening for Keratoconus and Related Ectatic Corneal Disorders
- (2015) J. Bradley Randleman et al. CORNEA
- Früherkennung des Keratokonus - systemassistierte Screening-Verfahren heute
- (2013) S. Goebels et al. KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE
- Diagnostik und stadiengerechte Therapie des Keratokonus
- (2013) S. Goebels et al. OPHTHALMOLOGE
- Chasing the suspect: keratoconus
- (2009) S. D Klyce BRITISH JOURNAL OF OPHTHALMOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started