Keratokonusdetektion und Ableitung des Ausprägungsgrades aus den Parametern des Corvis®ST

[1]  QUAN LIU,et al.  Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning. , 2020, JAMA ophthalmology.

[2]  Marcella Q. Salomão,et al.  The Role of Corneal Biomechanics for the Evaluation of Ectasia Patients , 2020, International journal of environmental research and public health.

[3]  K. Nishida,et al.  Correlation Between Corneal Biomechanical Indices and the Severity of Keratoconus. , 2020, Cornea.

[4]  Ahmad B. A. Hassanat,et al.  Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review , 2019, Big Data.

[5]  J. Xu,et al.  [Assistant diagnose for subclinical keratoconus by artificial intelligence]. , 2019, [Zhonghua yan ke za zhi] Chinese journal of ophthalmology.

[6]  Sven Reisdorf.  [Artificial Intelligence for the Development of Screening Parameters in the Field of Corneal Biomechanics]. , 2019, Klinische Monatsblätter für Augenheilkunde.

[7]  Sven Reisdorf.  Künstliche Intelligenz zur Entwicklung von Screening-Parametern im Bereich der kornealen Biomechanik , 2019, Klinische Monatsblätter für Augenheilkunde.

[8]  J. Kleesiek,et al.  Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung , 2019, Der Onkologe.

[9]  Alexandru Lavric,et al.  Keratoconus Detection Algorithm using Convolutional Neural Networks: Challenges , 2019, 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

[10]  F. Raiskup,et al.  Assessment of corneal biomechanical parameters in healthy and keratoconic eyes using dynamic bidirectional applanation device and dynamic Scheimpflug analyzer. , 2019, Journal of cataract and refractive surgery.

[11]  Shawn R. Lin,et al.  A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening , 2019, Seminars in ophthalmology.

[12]  Liang Hu,et al.  [Application of Deep Learning in Early Diagnosis Assistant System of Keratoconus]. , 2019, Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation.

[13]  Seyed Mohammadali Rahmati,et al.  Biomechanics of the Healthy and Keratoconic Corneas: A Combination of the Clinical Data, Finite Element Analysis, and Artificial Neural Network. , 2019, Current pharmaceutical design.

[14]  Alexandru Lavric,et al.  KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks , 2019, Comput. Intell. Neurosci..

[15]  S. Klyce.  The Future of Keratoconus Screening with Artificial Intelligence. , 2018, Ophthalmology.

[16]  P. Asbell,et al.  Keratoconus severity identification using unsupervised machine learning , 2018, PloS one.

[17]  Michael W. Belin,et al.  Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence. , 2018, American journal of ophthalmology.

[18]  Renato Ambrósio,et al.  Diagnostic Ability of Corneal Shape and Biomechanical Parameters for Detecting Frank Keratoconus , 2018, Cornea.

[19]  Peter Buxmann,et al.  Maschinelles Lernen , 2018, HMD Praxis der Wirtschaftsinformatik.

[20]  V. B. Surya Prasath,et al.  Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier - A Review , 2017, Big Data.

[21]  Ahmed Elsheikh,et al.  Integration of Scheimpflug-Based Corneal Tomography and Biomechanical Assessments for Enhancing Ectasia Detection. , 2017, Journal of refractive surgery.

[22]  Susanne Göbel,et al.  Complementary Keratoconus Indices Based on Topographical Interpretation of Biomechanical Waveform Parameters: A Supplement to Established Keratoconus Indices , 2017, Comput. Math. Methods Medicine.

[23]  Bernardo T. Lopes,et al.  Detection of Keratoconus With a New Biomechanical Index. , 2016, Journal of refractive surgery.

[24]  Irene Ruiz Hidalgo,et al.  Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography , 2016, Cornea.

[25]  Z. Nagy,et al.  Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus , 2016, Journal of cataract and refractive surgery.

[26]  R. D. Stulting,et al.  Screening for Keratoconus and Related Ectatic Corneal Disorders , 2015, Cornea.

[27]  B. Seitz,et al.  Staging of keratoconus indices regarding tomography, topography, and biomechanical measurements. , 2015, American journal of ophthalmology.

[28]  B. Seitz,et al.  [Diagnostics and stage-oriented therapy of keratoconus: introduction to the Homburg keratoconus center (HKC)]. , 2013, Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft.

[29]  B. Seitz,et al.  Diagnostik und stadiengerechte Therapie des Keratokonus , 2013, Der Ophthalmologe.

[30]  B. Seitz,et al.  Früherkennung des Keratokonus – systemassistierte Screening-Verfahren heute , 2013, Klin Monatsbl Augenheilkd.

[31]  S. Klyce.  Chasing the suspect: keratoconus , 2009, British Journal of Ophthalmology.

[32]  N. Maeda,et al.  Keratoconus detection with the KISA% method-another view. , 2000, Journal of cataract and refractive surgery.

[33]  Achim Langenbucher,et al.  Keratokonus-Screening mit Wellenfrontparametern auf der Basis topographischer Höhendaten , 1999 .

[34]  S. Klyce,et al.  Current keratoconus detection methods compared with a neural network approach. , 1997, Investigative ophthalmology & visual science.

[35]  N Maeda,et al.  Comparison of methods for detecting keratoconus using videokeratography. , 1996, Archives of ophthalmology.

[36]  N Maeda,et al.  Neural network classification of corneal topography. Preliminary demonstration. , 1995, Investigative ophthalmology & visual science.

[37]  N Maeda,et al.  Automated keratoconus screening with corneal topography analysis. , 1994, Investigative ophthalmology & visual science.

[38]  Andreas Gadatsch,et al.  Big Data im Gesundheitswesen , 2018 .

[39]  B. Seitz,et al.  [Detection of early forms of keratoconus - current screening methods]. , 2013, Klinische Monatsblatter fur Augenheilkunde.

[40]  B. Seitz,et al.  Modellierung der Hornhauttopographie mit einem Subdivisionsschema bei Keratokonus , 2001, Der Ophthalmologe.

[41]  A Langenbucher,et al.  [Keratoconus screening with wave-front parameters based on topography height data]. , 1999, Klinische Monatsblatter fur Augenheilkunde.

[42]  Jürgen Herrmann,et al.  Maschinelles Lernen und Wissensbasierte Systeme , 1997 .

[43]  Naoyuki Maeda,et al.  Neural Network Classification of Corneal Topography , 1995 .