Joshua Amason
www.linkedin.com
0000-0001-8459-7243
Duke University, Durham
18 papers found
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Microglia at sites of atrophy restrict the progression of retinal degeneration via galectin-3 and Trem2
Microglia at Sites of Atrophy Restrict the Progression of Retinal Degeneration via Galectin-3 and Trem2 Interactions
Deep learning for longitudinal OCT retinal layer thickness and AMD progression prediction
Truncated complement factor H (Y402) gene therapy restores complement regulation in multiple organ systems
Evaluation of a deep learning supported remote diagnosis model for identification of diabetic retinopathy using wide-field Optomap
An end-to-end deep learning method for predicting retinal layer thickness from Optical Coherence Tomography (OCT) images in patients with clinical progression of Age-related Macular Degeneration (AMD)
Incidence of Referable Retinal Disease in Diabetic Patients at a Primary Care Practice
Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting
Deep learning approach for automated detection of retinal pathology from ultra-widefield retinal images
Remote diagnosis of referable retinal pathology in diabetic patients visiting primary care clinic
Gradient Importance Learning for Incomplete Observations
A deep learning-based automated tool for the identification of referable retinal pathology from multi-modal imaging sources
Imputation-Free Learning from Incomplete Observations.
Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks
A homogeneous SIRPα-CD47 cell-based, ligand-binding assay: Utility for small molecule drug development in immuno-oncology
Deep Learning Approach for Automated Recognition of Retinal Pigment Epithelium Cell
Synergistic mutations in soluble guanylyl cyclase (sGC) reveal a key role for interfacial regions in the sGC activation mechanism
Quantitative high-throughput screening assays for the discovery and development of SIRPα-CD47 interaction inhibitors
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