The objective of this position is to conduct research in the diagnosis and management of retinal diseases using advanced imaging technologies such as optical coherence tomography (OCT), OCT angiography and ultra-wide-field photography. This requires maintaining current knowledge of the pertinent literature, and formulation of clinical study design, image processing, deep learning model construction and statistical analyses to illuminate specific research questions. A significant percent effort will be placed on developing specific hypotheses, performing algorithm development, designing validation plans, calculating statistical power and sample size requirements, and writing and preparing presentations and manuscripts.
Areas of research interest include image grading to build up ground truth, machine learning approaches based on optical coherence tomography (OCT), OCT angiography and photography technologies to achieve diagnostic accuracy analysis, longitudinal data analysis, survival analysis, regression analysis, disease progression analysis, etc. Give presentations of research results.
Preparation of manuscript for journal publications, papers and grant applications.
Teach image processing, image grading, and statistics to research and clinical trainees.
PhD in Biomedical Engineering, Meical Physics, Computer Science, Applied Mathematics, or MD in Ophthamology
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