Purpose: To present an overview of current machine learning methods and their use in
medical research, focusing on select machine learning techniques, best practices, and deep …

Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

The high prevalence of cardiovascular disease particularly in the elderly population is
associated with retinal vascular disease. Retinal vein occlusions represent severe …

Retinal swelling due to the accumulation of fluid is associated with the most vision-
threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of …

Diagnosis and treatment guidance are aided by detecting relevant biomarkers in medical
images. Although supervised deep learning can perform accurate segmentation of …

Purpose Anti–vascular endothelial growth factor (VEGF) treatment of neovascular age-
related macular degeneration (AMD) is a highly effective advance in the retinal armentarium …

Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …

Importance Large amounts of optical coherence tomographic (OCT) data of diabetic macular
edema (DME) are acquired, but many morphologic features have yet to be identified and …

Purpose: To investigate quantitative differences in fluid volumes between subretinal fluid
(SRF)–tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related …

Purpose To investigate the functional associations of intraretinal fluid (IRF) and subretinal
fluid (SRF) volumes at baseline and after the loading dose as well as fluid change after the …