Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Improving Interpretability in Machine Diagnosis. Local targets link to admitted publications; unresolved targets remain external evidence.
Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
10.1016/s2214-109x(20)30489-7 · 2021 · External reference
Geographic atrophy of the retinal pigment epithelium: a manifestation of senile macular degeneration
10.1001/archopht.1975.01010020023003 · 1975 · External reference
Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis
10.1016/s2214-109x(13)70145-1 · 2014 · External reference
Understanding age-related macular degeneration (AMD): relationships between the photoreceptor/retinal pigment epithelium/Bruch’s membrane/choriocapillaris complex
10.1016/j.mam.2012.04.005 · 2012 · External reference
Incomplete retinal pigment epithelial and outer retinal atrophy in age-related macular degeneration: classification of atrophy meeting report 4
10.1016/j.ophtha.2019.09.035 · 2020 · External reference
Relationship of topographic distribution of geographic atrophy to visual acuity in nonexudative age-related macular degeneration
2020 · External reference
Age-related macular degeneration therapy: a review
10.1097/icu.0000000000000657 · 2020 · External reference
Natural history of central sparing in geographic atrophy secondary to non-exudative age-related macular degeneration
2020 · External reference
The Age-Related Eye Disease Study system for classifying age-related macular degeneration from stereoscopic color fundus photographs: the Age-Related Eye Disease Study report number 6
10.1016/s0002-9394(01)01218-1 · 2001 · External reference
Improved signal-to-noise ratio in spectral-domain compared with time-domain optical coherence tomography
10.1364/ol.28.002067 · 2003 · External reference
Consensus definition for atrophy associated with age-related macular degeneration on OCT: classification of atrophy report 3
10.1016/j.ophtha.2017.09.028 · 2018 · External reference
Consensus nomenclature for reporting neovascular age-related macular degeneration data: consensus on neovascular age-related macular degeneration nomenclature study group
10.1016/j.ophtha.2019.11.004 · 2020 · External reference
Artificial intelligence algorithms for analysis of geographic atrophy: a review and evaluation
10.1167/tvst.9.2.57 · 2020 · External reference
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
10.1016/j.ophtha.2019.06.005 · 2019 · External reference
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
10.1016/j.ophtha.2018.11.015 · 2019 · External reference
A multi-task deep learning model for the classification of age-related macular degeneration
2019 · External reference
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: 1 towards automated and accessible classification of age-related macular degeneration
10.1093/jamia/ocaa302 · 2021 · External reference
Deep learning automated detection of reticular pseudodrusen from fundus autofluorescence images or color fundus photographs in AREDS2
10.1016/j.ophtha.2020.05.036 · 2020 · External reference
Semi-automatic geographic atrophy segmentation for SD-OCT images
10.1364/boe.4.002729 · 2013 · External reference
Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images
10.1167/iovs.13-12552 · 2013 · External reference
Automated geographic atrophy segmentation for SD-OCT images using region-based CV model via local similarity factor
10.1364/boe.7.000581 · 2016 · External reference
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
10.1364/boe.8.002732 · 2017 · External reference
Beyond retinal layers: a deep voting model for automated geographic atrophy segmentation in SD-OCT images
10.1167/tvst.7.1.1 · 2018 · External reference
Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model
10.1016/j.compbiomed.2018.12.013 · 2019 · External reference
Multi-path 3D convolution neural network for automated geographic atrophy segmentation in SD-OCT images
2018 · External reference
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging
10.1016/j.cmpb.2019.105101 · 2019 · External reference
A deep learning model for segmentation of geographic atrophy to study its long-term natural history
10.1016/j.ophtha.2020.02.009 · 2020 · External reference
Dense segmentation in selected dimensions: application to retinal optical coherence tomography. International Conference on Medical Imaging with Deep Learning
2019 · External reference
B-Scan attentive CNN for the classification of retinal optical coherence tomography volumes
10.1109/lsp.2020.3000933 · 2020 · External reference
UD-MIL: uncertainty-driven deep multiple instance learning for OCT image classification
10.1109/jbhi.2020.2983730 · 2020 · External reference
Grad-cam: visual explanations from deep networks via gradient-based localization
2017 · External reference
Learning deep features for discriminative localization
2016 · External reference
Loss-based attention for deep multiple instance learning
10.1609/aaai.v34i04.6030 · 2020 · External reference
Loss-based attention for interpreting image-level prediction of convolutional neural networks
10.1109/tip.2020.3046875 · 2021 · External reference
Spectral-domain optical coherence tomography characteristics of intermediate age-related macular degeneration
10.1016/j.ophtha.2012.07.004 · 2013 · External reference
The age-related eye disease study 2 (AREDS2): study design and baseline characteristics (AREDS2 report number 1)
10.1016/j.ophtha.2012.05.027 · 2012 · External reference
Progression of intermediate age-related macular degeneration with proliferation and inner retinal migration of hyperreflective foci
10.1016/j.ophtha.2012.10.018 · 2013 · External reference
Quo vadis, action recognition? a new model and the kinetics dataset
2017 · External reference
Batch normalization: Accelerating deep network training by reducing internal covariate shift
2015 · External reference
Deep residual learning for image recognition
2016 · External reference
Attention-based deep multiple instance learning
2018 · External reference
Explicit document modeling through weighted multiple-instance learning
10.1613/jair.5240 · 2017 · External reference
Autoaugment: learning augmentation strategies from data
2019 · External reference
