Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networks
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network
DUNet: A deformable network for retinal vessel segmentation
Retinal Vessel Segmentation Using Deep Neural Networks
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network
Deeply supervised neural network with short connections for retinal vessel segmentation
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
Segmentation of Exudates and Optic Disk in Retinal Images
Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble
Fully Convolutional Networks and Generative Adversarial Networks Applied to Sclera Segmentation
SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation
A Labeling-Free Approach to Supervising Deep Neural Networks for Retinal Blood Vessel Segmentation
Segmenting Retinal Blood Vessels With Deep Neural Networks
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images
FABC: Retinal Vessel Segmentation Using AdaBoost
Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network
Patch-based fully convolutional neural network with skip connections for retinal blood vessel segmentation
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field
Advanced deep learning for blood vessel segmentation in retinal fundus images
End-to-End Adversarial Retinal Image Synthesis
Global pattern of experienced and anticipated discrimination against people with schizophrenia : a cross-sectional survey
Multi-Scale Context Aggregation by Dilated Convolutions
Data quality assessment: The Hybrid Approach
Combining multiple evidence from different properties of weighting schemes
Optimal Sliding Correlator Channel Sounder Design