相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Tomographic and aberrometric assessment of first-time diagnosed paediatric keratoconus based on age ranges: a multicentre study
Carlos Rocha-de-Lossada et al.
ACTA OPHTHALMOLOGICA (2021)
Artificial intelligence and computational pathology
Miao Cui et al.
LABORATORY INVESTIGATION (2021)
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Yuhui Ma et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)
Impact of COVID-19 on keratoconus patients waiting for corneal cross linking
Haider Shah et al.
EUROPEAN JOURNAL OF OPHTHALMOLOGY (2021)
An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study
Bryan M. Williams et al.
DIABETOLOGIA (2020)
Prospective Clinical Study of Keratoconus Progression in Patients Awaiting Corneal Cross-linking
Yi Wei Goh et al.
CORNEA (2020)
Machine Learning for the Preliminary Diagnosis of Dementia
Fubao Zhu et al.
SCIENTIFIC PROGRAMMING (2020)
Corneal Topography Raw Data Classification Using a Convolutional Neural Network
Pierre Zeboulon et al.
AMERICAN JOURNAL OF OPHTHALMOLOGY (2020)
A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images
Abder-Rahman Ali et al.
FRONTIERS IN MEDICINE (2020)
Bilateral Keratoconus Progression: Immediate Versus Delayed Sequential Bilateral Corneal Cross-linking
Luca Pagano et al.
JOURNAL OF REFRACTIVE SURGERY (2020)
Keratoconus Screening Based on Deep Learning Approach of Corneal Topography
Bo- Kuo et al.
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2020)
Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images
Joshua Bridge et al.
BMJ OPEN OPHTHALMOLOGY (2020)
Deep-learning-based prediction of late age-related macular degeneration progression
Qi Yan et al.
NATURE MACHINE INTELLIGENCE (2020)
Assessment of the Association Between In Vivo Corneal Biomechanical Changes After Corneal Cross-linking and Depth of Demarcation Line
Riccardo Vinciguerra et al.
JOURNAL OF REFRACTIVE SURGERY (2019)
KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks
Alexandru Lavric et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2019)
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
Alejandro Rodriguez-Ruiz et al.
EUROPEAN RADIOLOGY (2019)
Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography
Alyssa T. Watanabe et al.
JOURNAL OF DIGITAL IMAGING (2019)
Deep learning in ophthalmology: The technical and clinical considerations
Daniel S. W. Ting et al.
PROGRESS IN RETINAL AND EYE RESEARCH (2019)
Computer aided diagnosis for suspect keratoconus detection
Ikram Issarti et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study
Kazutaka Kamiya et al.
BMJ OPEN (2019)
The impact of artificial intelligence in medicine on the future role of the physician
Abhimanyu S. Ahuja
PEERJ (2019)
CorneaNet: fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning
Valentin Aranha Dos Santos et al.
BIOMEDICAL OPTICS EXPRESS (2019)
Repeated Same-Day Versus Single Tomography Measurements of Keratoconic Eyes for Analysis of Disease Progression
Wolf Wonneberger et al.
CORNEA (2018)
Progression of Keratoconus in Patients While Awaiting Corneal Cross-linking: A Prospective Clinical Study
Vito Romano et al.
JOURNAL OF REFRACTIVE SURGERY (2018)
Deep Learning and Its Applications in Biomedicine
Chensi Cao et al.
GENOMICS PROTEOMICS & BIOINFORMATICS (2018)
A review of computer aided detection in mammography
Janine Katzen et al.
CLINICAL IMAGING (2018)
Improving precision for detecting change in the shape of the cornea in patients with keratoconus
Matthias Brunner et al.
SCIENTIFIC REPORTS (2018)
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
Michael D. Abramoff et al.
NPJ DIGITAL MEDICINE (2018)
Updates on Managements for Keratoconus
Mehrdad Mohammadpour et al.
JOURNAL OF CURRENT OPHTHALMOLOGY (2018)
In Vivo Early Corneal Biomechanical Changes After Corneal Cross-linking in Patients With Progressive Keratoconus
Riccardo Vinciguerra et al.
JOURNAL OF REFRACTIVE SURGERY (2017)
Integration of Scheimpflug-Based Corneal Tomography and Biomechanical Assessments for Enhancing Ectasia Detection
Renato Ambrosio et al.
JOURNAL OF REFRACTIVE SURGERY (2017)
Identifying more reliable parameters for the detection of change during the follow-up of mild to moderate keratoconus patients
Ivo Guber et al.
EYE AND VISION (2017)
Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography
Irene Ruiz Hidalgo et al.
CORNEA (2016)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus
Illnes Kovacs et al.
JOURNAL OF CATARACT AND REFRACTIVE SURGERY (2016)
Assessing progression of keratoconus: novel tomographic determinants
Joshua K. Duncan et al.
EYE AND VISION (2016)
Strategies for improving the early diagnosis of keratoconus
Yue Shi
CLINICAL OPTOMETRY (2016)
Staging of Keratoconus Indices Regarding Tomography, Topography, and Biomechanical Measurements
Susanne Goebels et al.
AMERICAN JOURNAL OF OPHTHALMOLOGY (2015)
Global Consensus on Keratoconus and Ectatic Diseases
Jose A. P. Gomes et al.
CORNEA (2015)
Reshaping procedures for the surgical management of corneal ectasia
Mohammed Ziaei et al.
JOURNAL OF CATARACT AND REFRACTIVE SURGERY (2015)
Corneal collagen cross-linking for treating keratoconus
Evripidis Sykakis et al.
COCHRANE DATABASE OF SYSTEMATIC REVIEWS (2015)
Evaluation of corneal elevation, pachymetry and keratometry in keratoconic eyes with respect to the stage of Amsler-Krumeich classification
Kazutaka Kamiya et al.
BRITISH JOURNAL OF OPHTHALMOLOGY (2014)
Corneal Collagen Crosslinking: A Systematic Review
Nir Sorkin et al.
OPHTHALMOLOGICA (2014)
A Randomized, Controlled Trial of Corneal Collagen Cross-Linking in Progressive Keratoconus Three-Year Results
Christine Wittig-Silva et al.
OPHTHALMOLOGY (2014)
Expanding the Cone Location and Magnitude Index to Include Corneal Thickness and Posterior Surface Information for the Detection of Keratoconus
Ashraf M. Mahmoud et al.
AMERICAN JOURNAL OF OPHTHALMOLOGY (2013)
Detection of Subclinical Keratoconus Using an Automated Decision Tree Classification
David Smadja et al.
AMERICAN JOURNAL OF OPHTHALMOLOGY (2013)
Correlation of Corneal Elevation With Severity of Keratoconus by Means of Anterior and Posterior Topographic Analysis
Rie Ishii et al.
CORNEA (2012)
A new, pachymetry-based approach for diagnostic cutoffs for normal, suspect and keratoconic cornea
G. Prakash et al.
EYE (2012)
Use of a Support Vector Machine for Keratoconus and Subclinical Keratoconus Detection by Topographic and Tomographic Data
Maria Clara Arbelaez et al.
OPHTHALMOLOGY (2012)
A Comprehensive Evaluation of the Precision (Repeatability and Reproducibility) of the Oculus Pentacam HR
Colm McAlinden et al.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2011)
Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations
Murilo Barreto Souza et al.
CLINICS (2010)
Keratoconus Detection Using Corneal Topography
Jack T. Holladay
JOURNAL OF REFRACTIVE SURGERY (2009)
Sensitivity and specificity of posterior corneal elevation measured by Pentacam in discriminating keratoconus/subclinical keratoconus
Ugo de Sanctis et al.
OPHTHALMOLOGY (2008)
Longitudinal study of the normal eyes in unilateral keratoconus patients
XH Li et al.
OPHTHALMOLOGY (2004)
Changes in anterior and posterior corneal curvatures in keratoconus
A Tomidokoro et al.
OPHTHALMOLOGY (2000)
分享论文
