The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography

(2018) Felix Grassmann et al.   OPHTHALMOLOGY

Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration

(2018) Shinji Matsuba et al.   INTERNATIONAL OPHTHALMOLOGY

OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications

(2017) Philipp Prahs et al.   GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY

Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning

(2017) Maximilian Treder et al.   GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

(2017) Thomas S. A. Wallis et al.   JOURNAL OF VISION

Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration

(2017) S. P. K. Karri et al.   Biomedical Optics Express

Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search

(2017) Leyuan Fang et al.   Biomedical Optics Express

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

(2017) Philippe M. Burlina et al.   JAMA Ophthalmology

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

(2017) Joon Yul Choi et al.   PLoS One

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

The diagnostic accuracy of spectral-domain optical coherence tomography for neovascular age-related macular degeneration: a comparison with fundus fluorescein angiography

(2015) C Wilde et al.   EYE

Optical Coherence Tomography for the Monitoring of Neovascular Age-Related Macular Degeneration

(2015) Mayret M. Castillo et al.   OPHTHALMOLOGY

OUTER RETINAL TUBULATION IN ADVANCED AGE-RELATED MACULAR DEGENERATION

(2015) Karen B. Schaal et al.   RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES

Lesion segmentation from multimodal MRI using random forest following ischemic stroke

(2014) Jhimli Mitra et al.   NEUROIMAGE

Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis

(2014) Wan Ling Wong et al.   Lancet Global Health

Predicting drug-target interactions using restricted Boltzmann machines

(2013) Yuhao Wang et al.   BIOINFORMATICS

Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study

(2013) Ein Oh et al.   BMC Medical Informatics and Decision Making

Clinical Classification of Age-related Macular Degeneration

(2013) Frederick L. Ferris et al.   OPHTHALMOLOGY

Grading of Age-Related Macular Degeneration: Comparison between Color Fundus Photography, Fluorescein Angiography, and Spectral Domain Optical Coherence Tomography

(2013) Nils F. Mokwa et al.   Journal of Ophthalmology

Multimodal MR Imaging (Diffusion, Perfusion, and Spectroscopy): Is It Possible to Distinguish Oligodendroglial Tumor Grade and 1p/19q Codeletion in the Pretherapeutic Diagnosis?

(2012) S. Fellah et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

(2011) Daoqiang Zhang et al.   NEUROIMAGE

A min-max combination of biomarkers to improve diagnostic accuracy

(2011) Chunling Liu et al.   STATISTICS IN MEDICINE

Automated layer segmentation of macular OCT images using dual-scale gradient information

(2010) Qi Yang et al.   OPTICS EXPRESS

A novel measure for evaluating classifiers

(2009) Jin-Mao Wei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Parotid Gland Tumors: Can Addition of Diffusion-weighted MR Imaging to Dynamic Contrast-enhanced MR Imaging Improve Diagnostic Accuracy in Characterization?

(2008) Hidetake Yabuuchi et al.   RADIOLOGY