Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Automatic classification of diabetic macular edema in digital fundus images
Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods
Quantitative Classification of Eyes with and without Intermediate Age-related Macular Degeneration Using Optical Coherence Tomography
Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma
Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images
Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection
Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images
Automatic Identification of Retinal Arteries and Veins in Fundus Images using Local Binary Patterns
Deep learning for predicting refractive error from retinal fundus images
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input
Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach
Mobile assisted diabetic retinopathy detection using deep neural network
New feature-based detection of blood vessels and exudates in color fundus images
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening
Identification and classification of microaneurysms for early detection of diabetic retinopathy
Retinal Image Analysis : A Review
Automatic localization of optic disc based on deep learning in fundus images
Microaneurysm Detection in Digital Retinal Images Using Blood Vessel Segmentation and Profile
Review on Fundus Image Acquisition Techniques with Data base Reference to Retinal Abnormalities in Diabetic Retinopathy
Use of the Hough transformation to detect lines and curves in pictures
Machine learning for stress detection from ECG signals in automobile drivers
Computational State Space Models for Activity and Intention Recognition. A Feasibility Study
Schedulability Analysis Using Uppaal: Herschel-Planck Case Study
gonadal mosaicism 45 , x / 46 , x , psu dic ( y ) ( q11 . 2 ) resulting in a turner phenotype with mixed gonadal dysgenesis .