Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks
Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening
Blood vessels segmentation with GUI in digital fundus images for automated detection of diabetic retinopathy
Deep Learning Neural Network with Semi supervised Segmentation for Predicting Retinal and Cancer Cell Diseased Images.
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network
Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
Automated system for macula detection in digital retinal images
A Review of Image Processing and Deep Learning Based Methods for Automated Analysis of Digital Retinal Fundus Images
Application of Higher Order Spectra for the Identification of Diabetes Retinopathy Stages
Concept Detection on Medical Images using Deep Residual Learning Network
Deeply supervised neural network with short connections for retinal vessel segmentation
Deep learning for predicting refractive error from retinal fundus images
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
Deep learning with convolutional neural network in radiology
A Deep Learning Framework for Recognition of Various Skin Lesions due to Diabetes
Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
Machine Learning Applied to the Detection of Retinal Blood Vessels
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field
Predictive value of procalcitonin for diagnosis of infections in patients with chronic kidney disease: a comparison with traditional inflammatory markers C-reactive protein, white blood cell count, and neutrophil percentage
Speech Emotion Recognition Using CNN
Dropout: a simple way to prevent neural networks from overfitting
Adversarial attack on Speech-to-Text Recognition Models.
Fuzzy sets in Data mining- A Review